added support for amd epyc cpus
as a result, concho is now able to handle hpe's amd configurations - also added the l3 cache attribute on cpus (not used yet but I'm planning to show it in the graphs as l3cache per core affects the performance) - added the ability to output the figure in a file instead of the screen (will be useful for continuous integration) work related to [https://bugzilla.ipr.univ-rennes.fr/show_bug.cgi?id=4015]
This commit is contained in:
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a0ba1f3b95
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@ -1,267 +1,286 @@
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#id clock num_cores max_cpus tdp cpumark_1_cpu cpumark_2_cpu
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intel-core-i7-8700k 3.7 6 1 95 0 0
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intel-xeon-5150 2.66 2 2 65 1746 3498
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intel-xeon-e5462 2.8 4 2 80 4038 7350
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intel-xeon-x5550 2.67 4 2 95 5416 9131
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intel-xeon-x5560 2.8 4 2 95 5426 9215
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intel-xeon-x5650 2.67 6 2 95 7601 11728
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intel-xeon-x5660 2.8 6 2 95 7954 11893
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intel-xeon-e5-2660 2.2 8 2 95 11535 17282
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intel-xeon-e5-2670 2.6 8 2 115 0 18509
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intel-xeon-e5-2680 2.7 8 2 130 0 18480
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intel-xeon-e5-2690 2.9 8 2 135 0 20699
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intel-xeon-e5-2620v2 2.1 6 2 95 8664 13474
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intel-xeon-e5-2630v2 2.6 6 2 80 10615 16256
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intel-xeon-e5-2640v2 2 8 2 95 10132 14792
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intel-xeon-e5-2650v2 2.6 8 2 95 13276 19333
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intel-xeon-e5-2660v2 2.2 10 2 95 13659 18670
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intel-xeon-e5-2670v2 2.5 10 2 115 14892 22062
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intel-xeon-e5-2680v2 2.8 10 2 115 16340 23263
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intel-xeon-e5-2690v2 3 10 2 130 17304 24189
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intel-xeon-e5-2695v2 2.4 12 2 130 17231 21980
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intel-xeon-e5-2697v2 2.7 12 2 130 17516 23910
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intel-xeon-e5-2603v3 1.6 6 2 85 4996 8358
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intel-xeon-e5-2609v3 1.9 6 2 85 5878 9885
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intel-xeon-e5-2620v3 2.4 6 2 85 9955 15400
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intel-xeon-e5-2623v3 3 6 2 105 9007 13914
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intel-xeon-e5-2630v3 2.4 8 2 85 12803 18699
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intel-xeon-e5-2630lv3 1.8 8 2 55 11201 0
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intel-xeon-e5-2637v3 3.5 4 2 135 10278 16823
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intel-xeon-e5-2640v3 2.6 8 2 90 14081 20824
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intel-xeon-e5-2643v3 3.4 6 2 135 13671 20574
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intel-xeon-e5-2650v3 2.3 10 2 105 15106 20602
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intel-xeon-e5-2650lv3 1.8 12 2 65 13132 0
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intel-xeon-e5-2660v3 2.6 10 2 105 16161 23388
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intel-xeon-e5-2667v3 3.2 8 2 135 16125 22935
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intel-xeon-e5-2670v3 2.3 12 2 120 16549 22330
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intel-xeon-e5-2680v3 2.5 12 2 120 18840 25352
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intel-xeon-e5-2683v3 2 14 2 120 17917 22704
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intel-xeon-e5-2687wv3 3.1 10 2 160 17785 24769
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intel-xeon-e5-2690v3 2.6 12 2 160 19567 26665
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intel-xeon-e5-2695v3 2.3 14 2 120 20742 26021
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intel-xeon-e5-2697v3 2.6 14 2 145 21667 29009
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intel-xeon-e5-2698v3 2.3 16 2 135 21794 30217
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intel-xeon-e5-2699v3 2.3 18 2 145 22520 24820
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intel-xeon-e5-2603v4 1.7 6 2 85 5247 8809
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intel-xeon-e5-2609v4 1.7 8 2 85 0 10835
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intel-xeon-e5-2620v4 2.1 8 2 85 11219 17063
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intel-xeon-e5-2623v4 2.6 4 2 85 0 10196
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intel-xeon-e5-2630v4 2.2 10 2 85 14221 18281
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intel-xeon-e5-2630lv4 1.8 10 2 55 0 0
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intel-xeon-e5-2637v4 3.5 4 2 135 9665 17398
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intel-xeon-e5-2640v4 2.4 10 2 90 15244 21556
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intel-xeon-e5-2643v4 3.4 6 2 135 14329 22063
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intel-xeon-e5-2650v4 2.2 12 2 105 16212 22619
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intel-xeon-e5-2650lv4 1.7 14 2 65 0 0
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intel-xeon-e5-2660v4 2.0 14 2 105 0 0
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intel-xeon-e5-2667v4 3.2 8 2 135 0 0
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intel-xeon-e5-2680v4 2.4 14 2 120 20489 0
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intel-xeon-e5-2683v4 2.1 16 2 120 0 0
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intel-xeon-e5-2687wv4 3.0 12 2 160 20340 27161
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intel-xeon-e5-2690v4 2.6 14 2 120 22843 28262
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intel-xeon-e5-2695v4 2.1 18 2 135 19351 20768
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intel-xeon-e5-2697v4 2.3 18 2 135 23070 0
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intel-xeon-e5-2697av4 2.6 16 2 145 0 24075
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intel-xeon-e5-2698v4 2.2 20 2 135 24615 32248
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intel-xeon-e5-2699v4 2.2 22 2 145 21277 38461
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intel-xeon-gold-5115 2.4 10 4 85 0 0
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intel-xeon-gold-5117 2.0 14 4 105 0 0
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intel-xeon-gold-5117f 2.0 14 4 113 0 0
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intel-xeon-gold-5117m 2.0 0 4 0 0 21250
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intel-xeon-gold-5118 2.3 12 4 105 0 0
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intel-xeon-gold-5119t 1.9 14 4 85 0 0
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intel-xeon-gold-5120 2.2 14 4 105 0 0
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intel-xeon-gold-5120t 2.2 14 4 105 0 0
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intel-xeon-gold-5122 3.6 4 4 105 0 0
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intel-xeon-gold-6126 2.6 12 4 125 0 0
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intel-xeon-gold-6126f 2.6 12 4 135 0 0
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intel-xeon-gold-6128 3.4 6 4 115 0 0
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intel-xeon-gold-6130 2.1 16 4 125 0 0
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intel-xeon-gold-6130f 2.1 16 4 125 0 0
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intel-xeon-gold-6130t 2.1 16 4 125 0 0
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intel-xeon-gold-6132 2.6 14 4 140 0 0
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intel-xeon-gold-6134 3.2 8 4 130 0 0
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intel-xeon-gold-6134m 3.2 8 4 130 0 0
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intel-xeon-gold-6136 3.0 12 4 150 0 0
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intel-xeon-gold-6138 2.0 20 4 125 0 0
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intel-xeon-gold-6138f 2.0 20 4 135 0 0
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intel-xeon-gold-6138t 2.0 20 4 125 0 0
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intel-xeon-gold-6140 2.3 18 4 140 0 0
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intel-xeon-gold-6140m 2.3 18 4 140 0 0
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intel-xeon-gold-6142 2.6 16 4 150 0 0
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intel-xeon-gold-6142f 2.6 16 4 160 0 0
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intel-xeon-gold-6142m 2.6 16 4 150 0 0
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intel-xeon-gold-6144 3.5 8 4 150 0 0
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intel-xeon-gold-6145 2.0 20 4 145 0 0
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intel-xeon-gold-6146 3.2 12 4 165 0 0
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intel-xeon-gold-6148 2.4 20 4 150 0 0
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intel-xeon-gold-6150 2.7 18 4 165 0 26349
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intel-xeon-gold-6152 2.1 22 4 140 0 0
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intel-xeon-gold-6154 3.0 18 4 200 0 0
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intel-xeon-gold-6161 2.2 22 4 165 0 0
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intel-xeon-platinum-8153 2.0 16 8 125 0 0
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intel-xeon-platinum-8160 2.1 24 8 150 0 0
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intel-xeon-platinum-8164 2.0 26 8 165 0 0
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intel-xeon-platinum-8168 2.7 24 8 205 0 0
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intel-xeon-platinum-8170 2.1 26 8 165 0 0
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intel-xeon-platinum-8176 2.1 28 8 165 0 0
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#id clock num_cores max_cpus tdp cpumark_1_cpu cpumark_2_cpu l3_cache_mb
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intel-core-i7-8700k 3.7 6 1 95 0 0 0
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intel-xeon-5150 2.66 2 2 65 1746 3498 0
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intel-xeon-e5462 2.8 4 2 80 4038 7350 0
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intel-xeon-x5550 2.67 4 2 95 5416 9131 0
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intel-xeon-x5560 2.8 4 2 95 5426 9215 0
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intel-xeon-x5650 2.67 6 2 95 7601 11728 0
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intel-xeon-x5660 2.8 6 2 95 7954 11893 0
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intel-xeon-e5-2660 2.2 8 2 95 11535 17282 0
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intel-xeon-e5-2670 2.6 8 2 115 0 18509 0
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intel-xeon-e5-2680 2.7 8 2 130 0 18480 0
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intel-xeon-e5-2690 2.9 8 2 135 0 20699 0
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intel-xeon-e5-2620v2 2.1 6 2 95 8664 13474 0
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intel-xeon-e5-2630v2 2.6 6 2 80 10615 16256 0
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intel-xeon-e5-2640v2 2 8 2 95 10132 14792 0
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intel-xeon-e5-2650v2 2.6 8 2 95 13276 19333 0
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intel-xeon-e5-2660v2 2.2 10 2 95 13659 18670 0
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intel-xeon-e5-2670v2 2.5 10 2 115 14892 22062 0
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intel-xeon-e5-2680v2 2.8 10 2 115 16340 23263 0
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intel-xeon-e5-2690v2 3 10 2 130 17304 24189 0
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intel-xeon-e5-2695v2 2.4 12 2 130 17231 21980 0
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intel-xeon-e5-2697v2 2.7 12 2 130 17516 23910 0
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intel-xeon-e5-2603v3 1.6 6 2 85 4996 8358 0
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intel-xeon-e5-2609v3 1.9 6 2 85 5878 9885 0
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intel-xeon-e5-2620v3 2.4 6 2 85 9955 15400 0
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intel-xeon-e5-2623v3 3 6 2 105 9007 13914 0
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intel-xeon-e5-2630v3 2.4 8 2 85 12803 18699 0
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intel-xeon-e5-2630lv3 1.8 8 2 55 11201 0 0
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intel-xeon-e5-2637v3 3.5 4 2 135 10278 16823 0
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intel-xeon-e5-2640v3 2.6 8 2 90 14081 20824 0
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intel-xeon-e5-2643v3 3.4 6 2 135 13671 20574 0
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intel-xeon-e5-2650v3 2.3 10 2 105 15106 20602 0
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intel-xeon-e5-2650lv3 1.8 12 2 65 13132 0 0
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intel-xeon-e5-2660v3 2.6 10 2 105 16161 23388 0
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intel-xeon-e5-2667v3 3.2 8 2 135 16125 22935 0
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intel-xeon-e5-2670v3 2.3 12 2 120 16549 22330 0
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intel-xeon-e5-2680v3 2.5 12 2 120 18840 25352 0
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intel-xeon-e5-2683v3 2 14 2 120 17917 22704 0
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intel-xeon-e5-2687wv3 3.1 10 2 160 17785 24769 0
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intel-xeon-e5-2690v3 2.6 12 2 160 19567 26665 0
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intel-xeon-e5-2695v3 2.3 14 2 120 20742 26021 0
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intel-xeon-e5-2697v3 2.6 14 2 145 21667 29009 0
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intel-xeon-e5-2698v3 2.3 16 2 135 21794 30217 0
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intel-xeon-e5-2699v3 2.3 18 2 145 22520 24820 0
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intel-xeon-e5-2603v4 1.7 6 2 85 5247 8809 0
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intel-xeon-e5-2609v4 1.7 8 2 85 0 10835 0
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intel-xeon-e5-2620v4 2.1 8 2 85 11219 17063 0
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intel-xeon-e5-2623v4 2.6 4 2 85 0 10196 0
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intel-xeon-e5-2630v4 2.2 10 2 85 14221 18281 0
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intel-xeon-e5-2630lv4 1.8 10 2 55 0 0 0
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intel-xeon-e5-2637v4 3.5 4 2 135 9665 17398 0
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intel-xeon-e5-2640v4 2.4 10 2 90 15244 21556 0
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intel-xeon-e5-2643v4 3.4 6 2 135 14329 22063 0
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intel-xeon-e5-2650v4 2.2 12 2 105 16212 22619 0
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intel-xeon-e5-2650lv4 1.7 14 2 65 0 0 0
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intel-xeon-e5-2660v4 2.0 14 2 105 0 0 0
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intel-xeon-e5-2667v4 3.2 8 2 135 0 0 0
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intel-xeon-e5-2680v4 2.4 14 2 120 20489 0 0
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intel-xeon-e5-2683v4 2.1 16 2 120 0 0 0
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intel-xeon-e5-2687wv4 3.0 12 2 160 20340 27161 0
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intel-xeon-e5-2690v4 2.6 14 2 120 22843 28262 0
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intel-xeon-e5-2695v4 2.1 18 2 135 19351 20768 0
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intel-xeon-e5-2697v4 2.3 18 2 135 23070 0 0
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intel-xeon-e5-2697av4 2.6 16 2 145 0 24075 0
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intel-xeon-e5-2698v4 2.2 20 2 135 24615 32248 0
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intel-xeon-e5-2699v4 2.2 22 2 145 21277 38461 0
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intel-xeon-gold-5115 2.4 10 4 85 0 0 0
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intel-xeon-gold-5117 2.0 14 4 105 0 0 0
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intel-xeon-gold-5117f 2.0 14 4 113 0 0 0
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intel-xeon-gold-5117m 2.0 0 4 0 0 21250 0
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||||
intel-xeon-gold-5118 2.3 12 4 105 0 0 0
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intel-xeon-gold-5119t 1.9 14 4 85 0 0 0
|
||||
intel-xeon-gold-5120 2.2 14 4 105 0 0 0
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intel-xeon-gold-5120t 2.2 14 4 105 0 0 0
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intel-xeon-gold-5122 3.6 4 4 105 0 0 0
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intel-xeon-gold-6126 2.6 12 4 125 0 0 0
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||||
intel-xeon-gold-6126f 2.6 12 4 135 0 0 0
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intel-xeon-gold-6128 3.4 6 4 115 0 0 0
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intel-xeon-gold-6130 2.1 16 4 125 0 0 0
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intel-xeon-gold-6130f 2.1 16 4 125 0 0 0
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intel-xeon-gold-6130t 2.1 16 4 125 0 0 0
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intel-xeon-gold-6132 2.6 14 4 140 0 0 0
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intel-xeon-gold-6134 3.2 8 4 130 0 0 0
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intel-xeon-gold-6134m 3.2 8 4 130 0 0 0
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intel-xeon-gold-6136 3.0 12 4 150 0 0 0
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intel-xeon-gold-6138 2.0 20 4 125 0 0 0
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intel-xeon-gold-6138f 2.0 20 4 135 0 0 0
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intel-xeon-gold-6138t 2.0 20 4 125 0 0 0
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||||
intel-xeon-gold-6140 2.3 18 4 140 0 0 0
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intel-xeon-gold-6140m 2.3 18 4 140 0 0 0
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intel-xeon-gold-6142 2.6 16 4 150 0 0 0
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intel-xeon-gold-6142f 2.6 16 4 160 0 0 0
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intel-xeon-gold-6142m 2.6 16 4 150 0 0 0
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intel-xeon-gold-6144 3.5 8 4 150 0 0 0
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intel-xeon-gold-6145 2.0 20 4 145 0 0 0
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intel-xeon-gold-6146 3.2 12 4 165 0 0 0
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intel-xeon-gold-6148 2.4 20 4 150 0 0 0
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intel-xeon-gold-6150 2.7 18 4 165 0 26349 0
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intel-xeon-gold-6152 2.1 22 4 140 0 0 0
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intel-xeon-gold-6154 3.0 18 4 200 0 0 0
|
||||
intel-xeon-gold-6161 2.2 22 4 165 0 0 0
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intel-xeon-platinum-8153 2.0 16 8 125 0 0 0
|
||||
intel-xeon-platinum-8160 2.1 24 8 150 0 0 0
|
||||
intel-xeon-platinum-8164 2.0 26 8 165 0 0 0
|
||||
intel-xeon-platinum-8168 2.7 24 8 205 0 0 0
|
||||
intel-xeon-platinum-8170 2.1 26 8 165 0 0 0
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||||
intel-xeon-platinum-8176 2.1 28 8 165 0 0 0
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|
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intel-xeon-silver-4208 2.1 8 2 85 0 0 0
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||||
intel-xeon-silver-4210r 2.4 10 2 100 0 0 0
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||||
intel-xeon-silver-4214 2.2 12 2 85 0 0 0
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||||
intel-xeon-silver-4214r 2.4 12 2 100 0 0 0
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intel-xeon-silver-4214y 2.2 12 2 85 0 0 0
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||||
intel-xeon-silver-4215r 3.2 8 2 130 0 0 0
|
||||
intel-xeon-silver-4216 2.1 16 2 100 0 0 0
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||||
intel-xeon-gold-5215 2.5 10 4 85 0 0 0
|
||||
intel-xeon-gold-5215l 2.5 10 4 85 0 0 0
|
||||
intel-xeon-gold-5217 3.0 8 4 115 0 0 0
|
||||
intel-xeon-gold-5218 2.3 16 4 125 0 0 0
|
||||
intel-xeon-gold-5218n 2.3 16 4 125 0 0 0
|
||||
intel-xeon-gold-5218r 2.1 20 2 125 0 0 0
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||||
intel-xeon-gold-5220 2.2 18 4 125 0 0 0
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||||
intel-xeon-gold-5220r 2.2 24 2 150 0 0 0
|
||||
intel-xeon-gold-5222 3.8 4 4 105 0 0 0
|
||||
intel-xeon-gold-6208u 2.9 16 1 150 0 0 0
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||||
intel-xeon-gold-6210u 2.5 20 1 150 0 0 0
|
||||
intel-xeon-gold-6212u 2.4 24 1 165 0 0 0
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||||
intel-xeon-gold-6226 2.7 12 4 125 0 0 0
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||||
intel-xeon-gold-6226r 2.9 16 2 150 0 0 0
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||||
intel-xeon-gold-6230 2.1 20 4 125 0 0 0
|
||||
intel-xeon-gold-6230n 2.3 20 2 125 0 0 0
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||||
intel-xeon-gold-6230r 2.1 26 2 150 0 0 0
|
||||
intel-xeon-gold-6234 3.3 8 4 130 0 0 0
|
||||
intel-xeon-gold-6238 2.1 22 4 140 0 0 0
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||||
intel-xeon-gold-6238l 2.1 22 4 140 0 0 0
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||||
intel-xeon-gold-6238m 2.1 22 4 140 0 0 0
|
||||
intel-xeon-gold-6238r 2.2 28 2 165 0 0 0
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||||
intel-xeon-gold-6240 2.6 18 4 150 0 0 0
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||||
intel-xeon-gold-6240l 2.6 18 4 150 0 0 0
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||||
intel-xeon-gold-6240m 2.6 18 4 150 0 0 0
|
||||
intel-xeon-gold-6240r 2.4 24 2 165 0 0 0
|
||||
intel-xeon-gold-6240y 2.6 18 4 150 0 0 0
|
||||
intel-xeon-gold-6242 2.8 16 4 150 0 0 0
|
||||
intel-xeon-gold-6242r 3.1 20 2 205 0 0 0
|
||||
intel-xeon-gold-6244 3.6 8 4 150 0 0 0
|
||||
intel-xeon-gold-6246 3.3 12 4 165 0 0 0
|
||||
intel-xeon-gold-6246r 3.4 16 2 205 0 0 0
|
||||
intel-xeon-gold-6248 2.5 20 4 150 0 0 0
|
||||
intel-xeon-gold-6248r 3.0 24 2 205 0 0 0
|
||||
intel-xeon-gold-6250 3.9 8 4 185 0 0 0
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||||
intel-xeon-gold-6252 2.1 24 4 150 0 0 0
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||||
intel-xeon-gold-6254 3.1 18 4 200 0 0 0
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||||
intel-xeon-gold-6258r 2.7 28 2 205 0 0 0
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||||
intel-xeon-platinum-8253 2.2 16 8 125 0 0 0
|
||||
intel-xeon-platinum-8256 3.8 4 8 105 0 0 0
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||||
intel-xeon-platinum-8260 2.4 24 8 165 0 0 0
|
||||
intel-xeon-platinum-8260l 2.4 24 8 165 0 0 0
|
||||
intel-xeon-platinum-8260y 2.4 24 8 165 0 0 0
|
||||
intel-xeon-platinum-8268 2.9 24 8 205 0 0 0
|
||||
intel-xeon-platinum-8270 2.7 26 8 205 0 0 0
|
||||
intel-xeon-platinum-8276 2.2 28 8 165 0 0 0
|
||||
intel-xeon-platinum-8280 2.7 28 8 205 0 0 0
|
||||
intel-xeon-platinum-8280l 2.7 28 8 205 0 0 0
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||||
|
||||
intel-xeon-silver-4208 2.1 8 2 85 0 0
|
||||
intel-xeon-silver-4210r 2.4 10 2 100 0 0
|
||||
intel-xeon-silver-4214 2.2 12 2 85 0 0
|
||||
intel-xeon-silver-4214r 2.4 12 2 100 0 0
|
||||
intel-xeon-silver-4214y 2.2 12 2 85 0 0
|
||||
intel-xeon-silver-4215r 3.2 8 2 130 0 0
|
||||
intel-xeon-silver-4216 2.1 16 2 100 0 0
|
||||
intel-xeon-gold-5215 2.5 10 4 85 0 0
|
||||
intel-xeon-gold-5215l 2.5 10 4 85 0 0
|
||||
intel-xeon-gold-5217 3.0 8 4 115 0 0
|
||||
intel-xeon-gold-5218 2.3 16 4 125 0 0
|
||||
intel-xeon-gold-5218n 2.3 16 4 125 0 0
|
||||
intel-xeon-gold-5218r 2.1 20 2 125 0 0
|
||||
intel-xeon-gold-5220 2.2 18 4 125 0 0
|
||||
intel-xeon-gold-5220r 2.2 24 2 150 0 0
|
||||
intel-xeon-gold-5222 3.8 4 4 105 0 0
|
||||
intel-xeon-gold-6208u 2.9 16 1 150 0 0
|
||||
intel-xeon-gold-6210u 2.5 20 1 150 0 0
|
||||
intel-xeon-gold-6212u 2.4 24 1 165 0 0
|
||||
intel-xeon-gold-6226 2.7 12 4 125 0 0
|
||||
intel-xeon-gold-6226r 2.9 16 2 150 0 0
|
||||
intel-xeon-gold-6230 2.1 20 4 125 0 0
|
||||
intel-xeon-gold-6230n 2.3 20 2 125 0 0
|
||||
intel-xeon-gold-6230r 2.1 26 2 150 0 0
|
||||
intel-xeon-gold-6234 3.3 8 4 130 0 0
|
||||
intel-xeon-gold-6238 2.1 22 4 140 0 0
|
||||
intel-xeon-gold-6238l 2.1 22 4 140 0 0
|
||||
intel-xeon-gold-6238m 2.1 22 4 140 0 0
|
||||
intel-xeon-gold-6238r 2.2 28 2 165 0 0
|
||||
intel-xeon-gold-6240 2.6 18 4 150 0 0
|
||||
intel-xeon-gold-6240l 2.6 18 4 150 0 0
|
||||
intel-xeon-gold-6240m 2.6 18 4 150 0 0
|
||||
intel-xeon-gold-6240r 2.4 24 2 165 0 0
|
||||
intel-xeon-gold-6240y 2.6 18 4 150 0 0
|
||||
intel-xeon-gold-6242 2.8 16 4 150 0 0
|
||||
intel-xeon-gold-6242r 3.1 20 2 205 0 0
|
||||
intel-xeon-gold-6244 3.6 8 4 150 0 0
|
||||
intel-xeon-gold-6246 3.3 12 4 165 0 0
|
||||
intel-xeon-gold-6246r 3.4 16 2 205 0 0
|
||||
intel-xeon-gold-6248 2.5 20 4 150 0 0
|
||||
intel-xeon-gold-6248r 3.0 24 2 205 0 0
|
||||
intel-xeon-gold-6250 3.9 8 4 185 0 0
|
||||
intel-xeon-gold-6252 2.1 24 4 150 0 0
|
||||
intel-xeon-gold-6254 3.1 18 4 200 0 0
|
||||
intel-xeon-gold-6258r 2.7 28 2 205 0 0
|
||||
intel-xeon-platinum-8253 2.2 16 8 125 0 0
|
||||
intel-xeon-platinum-8256 3.8 4 8 105 0 0
|
||||
intel-xeon-platinum-8260 2.4 24 8 165 0 0
|
||||
intel-xeon-platinum-8260l 2.4 24 8 165 0 0
|
||||
intel-xeon-platinum-8260y 2.4 24 8 165 0 0
|
||||
intel-xeon-platinum-8268 2.9 24 8 205 0 0
|
||||
intel-xeon-platinum-8270 2.7 26 8 205 0 0
|
||||
intel-xeon-platinum-8276 2.2 28 8 165 0 0
|
||||
intel-xeon-platinum-8280 2.7 28 8 205 0 0
|
||||
intel-xeon-platinum-8280l 2.7 28 8 205 0 0
|
||||
intel-xeon-silver-4310 2.1 12 2 120 0 0 18.0
|
||||
intel-xeon-silver-4314 2.4 16 2 135 0 0 24.0
|
||||
intel-xeon-silver-4316 2.3 20 2 150 0 0 30.0
|
||||
intel-xeon-gold-5315y 3.2 8 2 140 0 0 12.0
|
||||
intel-xeon-gold-5317 3.0 12 2 150 0 0 18.0
|
||||
intel-xeon-gold-5318s 2.1 24 2 165 0 0 36.0
|
||||
intel-xeon-gold-5318y 2.1 24 2 165 0 0 36.0
|
||||
intel-xeon-gold-5320 2.2 26 2 185 0 0 39.0
|
||||
intel-xeon-gold-6312u 2.4 24 1 185 0 0 36.0
|
||||
intel-xeon-gold-6314u 2.3 32 1 205 0 0 48.0
|
||||
intel-xeon-gold-6326 2.9 16 2 185 0 0 24.0
|
||||
intel-xeon-gold-6330 2.0 28 2 205 0 0 42.0
|
||||
intel-xeon-gold-6334 3.6 8 2 165 0 0 18.0
|
||||
intel-xeon-gold-6336y 2.4 24 2 185 0 0 36.0
|
||||
intel-xeon-gold-6338 2.0 32 2 205 0 0 48.0
|
||||
intel-xeon-gold-6338n 2.2 32 2 185 0 0 48.0
|
||||
intel-xeon-gold-6342 2.8 24 2 230 0 0 30.0
|
||||
intel-xeon-gold-6346 3.1 16 2 205 0 0 36.0
|
||||
intel-xeon-gold-6348 2.6 28 2 235 0 0 42.0
|
||||
intel-xeon-gold-6354 3.0 18 2 205 0 0 39.0
|
||||
intel-xeon-platinum-8351n 2.4 36 2 225 0 0 54.0
|
||||
intel-xeon-platinum-8352m 2.3 32 2 185 0 0 0
|
||||
intel-xeon-platinum-8352s 2.2 32 2 205 0 0 48.0
|
||||
intel-xeon-platinum-8352v 2.1 36 2 195 0 0 54.0
|
||||
intel-xeon-platinum-8352y 2.2 32 2 205 0 0 48.0
|
||||
intel-xeon-platinum-8358 2.6 32 2 250 0 0 48.0
|
||||
intel-xeon-platinum-8358p 2.6 32 2 240 0 0 48.0
|
||||
intel-xeon-platinum-8362 2.8 32 2 265 0 0 48.0
|
||||
intel-xeon-platinum-8368 2.4 38 2 270 0 0 57.0
|
||||
intel-xeon-platinum-8380 2.3 40 2 270 0 0 60.0
|
||||
|
||||
intel-xeon-silver-4310 2.1 12 2 120 0 0
|
||||
intel-xeon-silver-4314 2.4 16 2 135 0 0
|
||||
intel-xeon-silver-4316 2.3 20 2 150 0 0
|
||||
intel-xeon-gold-5315y 3.2 8 2 140 0 0
|
||||
intel-xeon-gold-5317 3.0 12 2 150 0 0
|
||||
intel-xeon-gold-5318s 2.1 24 2 165 0 0
|
||||
intel-xeon-gold-5318y 2.1 24 2 165 0 0
|
||||
intel-xeon-gold-5320 2.2 26 2 185 0 0
|
||||
intel-xeon-gold-6312u 2.4 24 1 185 0 0
|
||||
intel-xeon-gold-6314u 2.3 32 1 205 0 0
|
||||
intel-xeon-gold-6326 2.9 16 2 185 0 0
|
||||
intel-xeon-gold-6330 2.0 28 2 205 0 0
|
||||
intel-xeon-gold-6334 3.6 8 2 165 0 0
|
||||
intel-xeon-gold-6336y 2.4 24 2 185 0 0
|
||||
intel-xeon-gold-6338 2.0 32 2 205 0 0
|
||||
intel-xeon-gold-6338n 2.2 32 2 185 0 0
|
||||
intel-xeon-gold-6342 2.8 24 2 230 0 0
|
||||
intel-xeon-gold-6346 3.1 16 2 205 0 0
|
||||
intel-xeon-gold-6348 2.6 28 2 235 0 0
|
||||
intel-xeon-gold-6354 3.0 18 2 205 0 0
|
||||
intel-xeon-platinum-8351n 2.4 36 2 225 0 0
|
||||
intel-xeon-platinum-8352m 2.3 32 2 185 0 0
|
||||
intel-xeon-platinum-8352s 2.2 32 2 205 0 0
|
||||
intel-xeon-platinum-8352v 2.1 36 2 195 0 0
|
||||
intel-xeon-platinum-8352y 2.2 32 2 205 0 0
|
||||
intel-xeon-platinum-8358 2.6 32 2 250 0 0
|
||||
intel-xeon-platinum-8358p 2.6 32 2 240 0 0
|
||||
intel-xeon-platinum-8362 2.8 32 2 265 0 0
|
||||
intel-xeon-platinum-8368 2.4 38 2 270 0 0
|
||||
intel-xeon-platinum-8380 2.3 40 2 270 0 0
|
||||
intel-xeon-bronze-3408u 1.8 8 2 125 0 0 22.5
|
||||
intel-xeon-silver-4410y 2.0 12 2 150 0 0 30.0
|
||||
intel-xeon-silver-4416+ 2.0 20 2 165 0 0 37.5
|
||||
intel-xeon-gold-5411n 1.9 24 1 165 0 0 45.0
|
||||
intel-xeon-gold-5412u 2.1 24 1 185 0 0 45.0
|
||||
intel-xeon-gold-5415+ 2.9 8 2 150 0 0 22.5
|
||||
intel-xeon-gold-5416s 2.0 16 2 150 0 0 30.0
|
||||
intel-xeon-gold-5418n 1.8 24 2 165 0 0 45.0
|
||||
intel-xeon-gold-5418y 2.0 24 2 185 0 0 45.0
|
||||
intel-xeon-gold-5420+ 2.0 28 2 205 0 0 52.5
|
||||
intel-xeon-gold-6414u 2.0 32 1 250 0 0 60.0
|
||||
intel-xeon-gold-6416h 2.2 18 4 165 0 0 45.0
|
||||
intel-xeon-gold-6418h 2.1 24 4 185 0 0 60.0
|
||||
intel-xeon-gold-6421n 1.8 32 1 185 0 0 60.0
|
||||
intel-xeon-gold-6426y 2.5 16 2 185 0 0 37.5
|
||||
intel-xeon-gold-6430 2.1 32 2 270 0 0 60.0
|
||||
intel-xeon-gold-6434 3.7 8 2 195 0 0 22.5
|
||||
intel-xeon-gold-6434h 3.7 8 4 195 0 0 22.5
|
||||
intel-xeon-gold-6438n 2.0 32 2 205 0 0 60.0
|
||||
intel-xeon-gold-6438y+ 2.0 32 2 205 0 0 60.0
|
||||
intel-xeon-gold-6442y 2.6 24 2 225 0 0 60.0
|
||||
intel-xeon-gold-6444y 3.6 16 2 270 0 0 45.0
|
||||
intel-xeon-gold-6448h 2.4 32 4 250 0 0 60.0
|
||||
intel-xeon-gold-6448y 2.1 32 2 225 0 0 60.0
|
||||
intel-xeon-gold-6454s 2.2 32 2 270 0 0 60.0
|
||||
intel-xeon-gold-6458q 3.1 32 2 350 0 0 60.0
|
||||
intel-xeon-platinum-8444h 2.9 16 2 270 0 0 45.0
|
||||
intel-xeon-platinum-8452y 2.0 36 2 300 0 0 67.5
|
||||
intel-xeon-platinum-8458p 2.7 44 2 350 0 0 82.5
|
||||
intel-xeon-platinum-8460y+ 2.0 40 2 300 0 0 105.0
|
||||
intel-xeon-platinum-8462y+ 2.8 32 2 300 0 0 60.0
|
||||
intel-xeon-platinum-8468 2.1 48 2 350 0 0 105.0
|
||||
intel-xeon-platinum-8468v 2.4 48 2 330 0 0 97.5
|
||||
intel-xeon-platinum-8470 2.0 52 2 350 0 0 105.0
|
||||
intel-xeon-platinum-8470n 1.7 52 2 300 0 0 97.5
|
||||
intel-xeon-platinum-8470q 2.1 52 2 350 0 0 105.0
|
||||
intel-xeon-platinum-8471n 1.8 52 1 300 0 0 95.5
|
||||
intel-xeon-platinum-8480+ 2.0 56 2 350 0 0 105.0
|
||||
intel-xeon-platinum-8490h 1.9 60 8 350 0 0 112.5
|
||||
intel-xeon-platinum-9462 2.7 32 2 350 0 0 75.0
|
||||
|
||||
intel-xeon-bronze-3408u 1.8 8 2 125 0 0
|
||||
intel-xeon-silver-4410y 2.0 12 2 150 0 0
|
||||
intel-xeon-silver-4416+ 2.0 20 2 165 0 0
|
||||
intel-xeon-gold-5411n 1.9 24 2 165 0 0
|
||||
intel-xeon-gold-5415+ 2.9 8 2 150 0 0
|
||||
intel-xeon-gold-5416s 2.0 16 2 150 0 0
|
||||
intel-xeon-gold-5418n 1.8 24 2 165 0 0
|
||||
intel-xeon-gold-5418y 2.0 24 2 185 0 0
|
||||
intel-xeon-gold-5420+ 2.0 28 2 205 0 0
|
||||
intel-xeon-gold-6414u 2.0 32 1 250 0 0
|
||||
intel-xeon-gold-6416h 2.2 18 2 165 0 0
|
||||
intel-xeon-gold-6418h 2.1 24 2 185 0 0
|
||||
intel-xeon-gold-6421n 1.8 32 2 185 0 0
|
||||
intel-xeon-gold-6426y 2.5 16 2 185 0 0
|
||||
intel-xeon-gold-6430 2.1 32 2 270 0 0
|
||||
intel-xeon-gold-6434 3.7 8 2 195 0 0
|
||||
intel-xeon-gold-6438n 2.0 32 2 205 0 0
|
||||
intel-xeon-gold-6438y+ 2.0 32 2 205 0 0
|
||||
intel-xeon-gold-6442y 2.6 24 2 225 0 0
|
||||
intel-xeon-gold-6444y 3.6 16 2 270 0 0
|
||||
intel-xeon-gold-6448y 2.1 32 2 225 0 0
|
||||
intel-xeon-gold-6454s 2.2 32 2 270 0 0
|
||||
intel-xeon-gold-6458q 3.1 32 2 350 0 0
|
||||
intel-xeon-platinum-8444h 2.9 16 2 270 0 0
|
||||
intel-xeon-platinum-8452y 2.0 36 2 300 0 0
|
||||
intel-xeon-platinum-8458p 2.7 44 2 350 0 0
|
||||
intel-xeon-platinum-8458q 3.1 32 2 350 0 0
|
||||
intel-xeon-platinum-8460y+ 2.0 40 2 300 0 0
|
||||
intel-xeon-platinum-8462y+ 2.8 32 2 300 0 0
|
||||
intel-xeon-platinum-8468 2.1 48 2 350 0 0
|
||||
intel-xeon-platinum-8468v 2.4 48 2 330 0 0
|
||||
intel-xeon-platinum-8470 2.0 52 2 350 0 0
|
||||
intel-xeon-platinum-8470n 1.7 52 2 300 0 0
|
||||
intel-xeon-platinum-8470q 2.1 52 2 350 0 0
|
||||
intel-xeon-platinum-8480+ 2.0 56 2 350 0 0
|
||||
intel-xeon-platinum-8490h 1.9 60 2 350 0 0
|
||||
intel-xeon-platinum-9462 2.7 32 2 350 0 0
|
||||
amd-epyc-7262 3.2 8 2 155 0 0 0
|
||||
amd-epyc-7272 2.9 12 2 120 0 0 0
|
||||
amd-epyc-7282 2.8 16 2 120 0 0 0
|
||||
amd-epyc-7302 3.0 16 2 155 0 0 0
|
||||
amd-epyc-7352 2.3 24 2 155 0 0 0
|
||||
amd-epyc-7402 2.8 24 2 180 0 0 0
|
||||
amd-epyc-7452 2.35 32 2 155 0 0 0
|
||||
amd-epyc-7502 2.5 32 2 180 0 0 0
|
||||
amd-epyc-7542 2.9 32 2 225 0 0 0
|
||||
amd-epyc-7552 2.2 48 2 200 0 0 0
|
||||
amd-epyc-7642 2.3 48 2 225 0 0 0
|
||||
amd-epyc-7702 2.0 64 2 200 0 0 0
|
||||
amd-epyc-7742 2.25 64 2 225 0 0 0
|
||||
amd-epyc-7f32 3.7 8 2 180 0 0 0
|
||||
amd-epyc-7f52 3.5 16 2 240 0 0 0
|
||||
amd-epyc-7f72 3.5 24 2 240 0 0 0
|
||||
amd-epyc-7h12 2.6 64 2 280 0 0 0
|
||||
|
||||
amd-epyc-7262 3.2 8 2 155 0 0
|
||||
amd-epyc-7272 2.9 12 2 120 0 0
|
||||
amd-epyc-7282 2.8 16 2 120 0 0
|
||||
amd-epyc-7302 3.0 16 2 155 0 0
|
||||
amd-epyc-7352 2.3 24 2 155 0 0
|
||||
amd-epyc-7402 2.8 24 2 180 0 0
|
||||
amd-epyc-7452 2.35 32 2 155 0 0
|
||||
amd-epyc-7502 2.5 32 2 180 0 0
|
||||
amd-epyc-7542 2.9 32 2 225 0 0
|
||||
amd-epyc-7552 2.2 48 2 200 0 0
|
||||
amd-epyc-7642 2.3 48 2 225 0 0
|
||||
amd-epyc-7702 2.0 64 2 200 0 0
|
||||
amd-epyc-7742 2.25 64 2 225 0 0
|
||||
amd-epyc-7f32 3.7 8 2 180 0 0
|
||||
amd-epyc-7f52 3.5 16 2 240 0 0
|
||||
amd-epyc-7f72 3.5 24 2 240 0 0
|
||||
amd-epyc-7h12 2.6 64 2 280 0 0
|
||||
amd-epyc-72f3 3.7 8 2 180 0 0 0
|
||||
amd-epyc-7313 3.0 16 2 155 0 0 0
|
||||
amd-epyc-7343 3.2 16 2 190 0 0 0
|
||||
amd-epyc-73f3 3.5 16 2 240 0 0 0
|
||||
amd-epyc-7413 2.65 24 2 180 0 0 0
|
||||
amd-epyc-7443 2.85 24 2 200 0 0 0
|
||||
amd-epyc-7453 2.75 28 2 225 0 0 0
|
||||
amd-epyc-74f3 3.2 24 2 240 0 0 0
|
||||
amd-epyc-7513 2.6 32 2 200 0 0 0
|
||||
amd-epyc-7543 2.8 32 2 225 0 0 0
|
||||
amd-epyc-75f3 2.95 32 2 280 0 0 0
|
||||
amd-epyc-7643 2.3 48 2 225 0 0 0
|
||||
amd-epyc-7663 2.0 56 2 240 0 0 0
|
||||
amd-epyc-7713 2.0 64 2 225 0 0 0
|
||||
amd-epyc-7763 2.45 64 2 280 0 0 0
|
||||
|
||||
amd-epyc-72f3 3.7 8 2 180 0 0
|
||||
amd-epyc-7313 3.0 16 2 155 0 0
|
||||
amd-epyc-7343 3.2 16 2 190 0 0
|
||||
amd-epyc-73f3 3.5 16 2 240 0 0
|
||||
amd-epyc-7413 2.65 24 2 180 0 0
|
||||
amd-epyc-7443 2.85 24 2 200 0 0
|
||||
amd-epyc-7453 2.75 28 2 225 0 0
|
||||
amd-epyc-74f3 3.2 24 2 240 0 0
|
||||
amd-epyc-7513 2.6 32 2 200 0 0
|
||||
amd-epyc-7543 2.8 32 2 225 0 0
|
||||
amd-epyc-75f3 2.95 32 2 280 0 0
|
||||
amd-epyc-7643 2.3 48 2 225 0 0
|
||||
amd-epyc-7663 2.0 56 2 240 0 0
|
||||
amd-epyc-7713 2.0 64 2 225 0 0
|
||||
amd-epyc-7763 2.45 64 2 280 0 0
|
||||
amd-epyc-9124 3.0 16 2 200 0 0 64
|
||||
amd-epyc-9174f 4.1 16 2 320 0 0 256
|
||||
amd-epyc-9224 2.5 24 2 200 0 0 64
|
||||
amd-epyc-9254 2.9 24 2 220 0 0 128
|
||||
amd-epyc-9274f 4.05 24 2 320 0 0 256
|
||||
amd-epyc-9334 2.7 32 2 210 0 0 128
|
||||
amd-epyc-9354 3.25 32 2 280 0 0 256
|
||||
amd-epyc-9374f 3.85 32 2 320 0 0 256
|
||||
amd-epyc-9454 2.75 48 2 290 0 0 256
|
||||
amd-epyc-9474f 3.6 48 2 360 0 0 256
|
||||
amd-epyc-9534 2.45 64 2 280 0 0 256
|
||||
amd-epyc-9554 3.1 64 2 360 0 0 256
|
||||
amd-epyc-9634 2.25 84 2 290 0 0 384
|
||||
amd-epyc-9654 2.4 96 2 360 0 0 384
|
||||
amd-epyc-9734 2.2 112 2 340 0 0 256
|
||||
amd-epyc-9754 2.25 128 2 360 0 0 256
|
||||
|
|
|
|||
|
140
concho/config.py
140
concho/config.py
|
|
@ -95,11 +95,12 @@ class Cpu(Item):
|
|||
max_cpus: int # how many such cpus can be put on the same motherboard
|
||||
tdp: Power # TDP of the cpu, in Watts
|
||||
cpumark: float # cpu mark
|
||||
l3_cache_mb: int # level 3 cache, in MiB
|
||||
|
||||
def __init__(self, proc_id: CpuId):
|
||||
super().__init__(proc_id)
|
||||
cpuTable = numpy.genfromtxt('catalogs/cpu_table.tsv', dtype=("|U32", float, int, float, float, float), names=True, delimiter='\t')
|
||||
for cpu_id, clock, num_cores, max_cpus, tdp, cpumark in zip(cpuTable['id'], cpuTable['clock'], cpuTable['num_cores'], cpuTable['max_cpus'], cpuTable['tdp'], cpuTable['cpumark_1_cpu']):
|
||||
cpuTable = numpy.genfromtxt('catalogs/cpu_table.tsv', dtype=("|U32", float, int, float, float, float, int, int), names=True, delimiter='\t')
|
||||
for cpu_id, clock, num_cores, max_cpus, tdp, cpumark, l3_cache_mb in zip(cpuTable['id'], cpuTable['clock'], cpuTable['num_cores'], cpuTable['max_cpus'], cpuTable['tdp'], cpuTable['cpumark_1_cpu'], cpuTable['l3_cache_mb']):
|
||||
# print(cpu_id)
|
||||
if cpu_id == proc_id:
|
||||
# print('found '+procId)
|
||||
|
|
@ -110,6 +111,7 @@ class Cpu(Item):
|
|||
self.max_cpus = max_cpus
|
||||
self.tdp = tdp
|
||||
self.cpumark = cpumark
|
||||
self.l3_cache_mb = l3_cache_mb
|
||||
|
||||
@property
|
||||
def architecture(self) -> CpuArchitecture:
|
||||
|
|
@ -162,34 +164,62 @@ class Cpu(Item):
|
|||
return 'rome'
|
||||
elif re.match('amd-epyc-[0-9][0-9fh][0-9f]3', proc_id):
|
||||
return 'milan'
|
||||
elif re.match('amd-epyc-8[0-6][0-9f]4', proc_id):
|
||||
return 'siena' # zen 4c
|
||||
elif re.match('amd-epyc-9[0-6][0-9f]4', proc_id):
|
||||
return 'genoa' # zen 4
|
||||
elif re.match('amd-epyc-97[0-9f]4', proc_id):
|
||||
return 'bergamo' # zen 4c
|
||||
else:
|
||||
assert False, 'unhandled processor id : %s' % proc_id
|
||||
|
||||
@property
|
||||
def num_dp_flop_per_cycle(self) -> int:
|
||||
def num_dp_flop_per_cycle_per_core(self) -> int:
|
||||
proc_arch = self.architecture
|
||||
simd_id = get_simd_id(proc_arch)
|
||||
num_simd_per_core = 1
|
||||
dp_flops_per_cycle_per_core = -1
|
||||
|
||||
# from https://stackoverflow.com/questions/15655835/flops-per-cycle-for-sandy-bridge-and-haswell-sse2-avx-avx2
|
||||
# Intel Core 2 and Nehalem:
|
||||
#
|
||||
# 4 DP FLOPs/cycle: 2-wide SSE2 addition + 2-wide SSE2 multiplication
|
||||
# 8 SP FLOPs/cycle: 4-wide SSE addition + 4-wide SSE multiplication
|
||||
#
|
||||
|
||||
if proc_arch in ['sandy bridge', 'ivy bridge']:
|
||||
|
||||
# [https://stackoverflow.com/questions/15655835/flops-per-cycle-for-sandy-bridge-and-haswell-and-others-sse2-avx-avx2-avx]
|
||||
# Intel Sandy Bridge/Ivy Bridge (AVX1):
|
||||
|
||||
# 8 DP FLOPs/cycle: 4-wide AVX addition + 4-wide AVX multiplication
|
||||
# 16 SP FLOPs/cycle: 8-wide AVX addition + 8-wide AVX multiplication
|
||||
dp_flops_per_cycle_per_core = 8
|
||||
|
||||
if proc_arch in ['haswell', 'broadwell']:
|
||||
# https://stackoverflow.com/questions/15655835/flops-per-cycle-for-sandy-bridge-and-haswell-and-others-sse2-avx-avx2-avx
|
||||
# Intel Haswell/Broadwell/Skylake/Kaby Lake/Coffee/... (AVX+FMA3):
|
||||
|
||||
# 16 DP FLOPs/cycle: two 4-wide FMA (fused multiply-add) instructions
|
||||
# 32 SP FLOPs/cycle: two 8-wide FMA (fused multiply-add) instructions
|
||||
# (Using 256-bit vector instructions can reduce max turbo clock speed on some CPUs.)
|
||||
dp_flops_per_cycle_per_core = 16
|
||||
|
||||
if proc_arch in ['skylake', 'cascadelake']:
|
||||
dp_flops_per_cycle_per_core = 16
|
||||
# from https://en.wikipedia.org/wiki/List_of_Intel_Xeon_microprocessors : Xeon Platinum, Gold 61XX, and Gold 5122 have two AVX-512 FMA units per core; Xeon Gold 51XX (except 5122), Silver, and Bronze have a single AVX-512 FMA unit per core
|
||||
if re.match('intel-xeon-gold-5122', self.uid):
|
||||
num_simd_per_core = 2
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
|
||||
# https://en.wikichip.org/wiki/intel/xeon_gold/5222 : 'Note that this is the only processor in the Xeon Gold 52xx series with two 512b FMA units.'
|
||||
if re.match('intel-xeon-gold-5222', self.uid):
|
||||
num_simd_per_core = 2
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
|
||||
if re.match('intel-xeon-gold-61[0-9][0-9]', self.uid):
|
||||
num_simd_per_core = 2
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
if re.match('intel-xeon-gold-62[0-9][0-9]', self.uid):
|
||||
num_simd_per_core = 2
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
if re.match('intel-xeon-gold-63[0-9][0-9]', self.uid):
|
||||
num_simd_per_core = 2
|
||||
# from https://www.microway.com/knowledge-center-articles/detailed-specifications-of-the-amd-epyc-rome-cpus/:
|
||||
# - Full support for 256-bit AVX2 instructions with two 256-bit FMA units per CPU core. The previous “Naples” architecture split 256-bit instructions into two separate 128-bit operations
|
||||
# - Up to 16 double-precision FLOPS per cycle per core
|
||||
# - Double-precision floating point multiplies complete in 3 cycles (down from 4)
|
||||
# note : zen2 rome core has 2 256 bits fma units per core, which corresponds to avx2 technology according to https://stackoverflow.com/questions/15655835/flops-per-cycle-for-sandy-bridge-and-haswell-sse2-avx-avx2:
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
# flops-per-cycle-for-sandy-bridge-and-haswell-sse2-avx-avx2:
|
||||
# Intel Haswell/Broadwell/Skylake/Kaby Lake/Coffee/... (AVX+FMA3):
|
||||
# - 16 DP FLOPs/cycle: two 4-wide FMA (fused multiply-add) instructions
|
||||
# - 32 SP FLOPs/cycle: two 8-wide FMA (fused multiply-add) instructions
|
||||
|
|
@ -202,18 +232,41 @@ class Cpu(Item):
|
|||
# > AVX-512 instructions (up to 16 double-precision FLOPS per cycle per AVX-512 FMA unit)
|
||||
# > Two AVX-512 FMA units per CPU core (available in all Ice Lake-SP CPU SKUs)
|
||||
# https://www.intel.com/content/www/us/en/products/sku/215269/intel-xeon-silver-4314-processor-24m-cache-2-40-ghz/specifications.html shows that even xeon silver 4314 has 2 AVX 512 fma units
|
||||
num_simd_per_core = 2
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
|
||||
if proc_arch in ['sapphire rapids']:
|
||||
num_simd_per_core = 2
|
||||
dp_flops_per_cycle_per_core = 32
|
||||
# cpus_may2023_v3.pdf
|
||||
|
||||
if proc_arch == 'rome':
|
||||
num_simd_per_core = 1
|
||||
if proc_arch == 'rome': # zen2
|
||||
# from https://www.microway.com/knowledge-center-articles/detailed-specifications-of-the-amd-epyc-rome-cpus/:
|
||||
# - Full support for 256-bit AVX2 instructions with two 256-bit FMA units per CPU core. The previous “Naples” architecture split 256-bit instructions into two separate 128-bit operations
|
||||
# - Up to 16 double-precision FLOPS per cycle per core
|
||||
# - Double-precision floating point multiplies complete in 3 cycles (down from 4)
|
||||
# note : zen2 rome core has 2 256 bits fma units per core, which corresponds to avx2 technology according to https://stackoverflow.com/questions/15655835/
|
||||
# [https://stackoverflow.com/questions/15655835/flops-per-cycle-for-sandy-bridge-and-haswell-and-others-sse2-avx-avx2-avx]
|
||||
# AMD Zen 2 and later: 2 FMA/MUL units and two ADD units on separate ports
|
||||
# 24 DP FLOPs/cycle: 4-wide FMA + 4-wide ADD on 256-bit execution units
|
||||
# 48 SP FLOPs/cycle: 8-wide FMA + 8-wide ADD
|
||||
# with only FMAs like for a matmul, 16 DP / 32 SP FLOPs/cycle using 256-bit instructions (or 512-bit on Zen 4 which has single-uop but double-pumped 512-bit instructions.)
|
||||
# https://www.dell.com/support/kbdoc/fr-fr/000137696/amd-rome-is-it-for-real-architecture-and-initial-hpc-performance
|
||||
# The Rome micro-architecture can retire 16 DP FLOP/cycle, double that of Naples which was 8 FLOPS/cycle
|
||||
|
||||
dp_flops_per_cycle_per_core = 16
|
||||
|
||||
if proc_arch == 'milan': # zen3
|
||||
# [https://www.nas.nasa.gov/hecc/support/kb/amd-milan-processors_688.html]
|
||||
# > Each Milan core has two 256-bit Fused Multiply-Add (FMA) units and can deliver up to 16 double-precision floating point operations (flops) per cycle. Therefore, the peak double-precision flops per node is: 128 cores x 2.45 GHz x 16 = 5.02 teraflops (TF).
|
||||
dp_flops_per_cycle_per_core = 16
|
||||
|
||||
if proc_arch in ['genoa', 'bergamo']: # zen4
|
||||
# [/home/graffy/work/concho/cpus_may2023_v3.pdf]]
|
||||
# AMD has two AVX-2 256 bit units, which can do one coupled AVX-512 FMA instruction, which puts the FLOPS per cycle to 16
|
||||
dp_flops_per_cycle_per_core = 16
|
||||
|
||||
dp_flops_per_cycle = num_simd_per_core * simd_id_to_dp_flops_per_cycle(simd_id)
|
||||
# print(self.uid, dp_flops_per_cycle)
|
||||
return dp_flops_per_cycle
|
||||
assert dp_flops_per_cycle_per_core > 0, f'failed to get the number of dp floating operations per cycle per core of {proc_arch}'
|
||||
return dp_flops_per_cycle_per_core
|
||||
|
||||
@property
|
||||
def num_ram_channels(self) -> int:
|
||||
|
|
@ -224,7 +277,10 @@ class Cpu(Item):
|
|||
'icelake': 8,
|
||||
'sapphire rapids': 8,
|
||||
'rome': 8,
|
||||
'milan': 8
|
||||
'milan': 8,
|
||||
'siena': 6,
|
||||
'genoa': 12,
|
||||
'bergamo': 12
|
||||
}[self.architecture]
|
||||
|
||||
|
||||
|
|
@ -248,39 +304,6 @@ def get_proc_arch_transistor_size(proc_id: CpuId) -> TransistorSize:
|
|||
}[get_proc_architecture(proc_id)]
|
||||
|
||||
|
||||
def simd_id_to_dp_flops_per_cycle(simd_id: SimdId) -> int:
|
||||
"""
|
||||
:param str simd_id: eg 'avx2'
|
||||
|
||||
"""
|
||||
# from https://stackoverflow.com/questions/15655835/flops-per-cycle-for-sandy-bridge-and-haswell-sse2-avx-avx2
|
||||
# Intel Core 2 and Nehalem:
|
||||
#
|
||||
# 4 DP FLOPs/cycle: 2-wide SSE2 addition + 2-wide SSE2 multiplication
|
||||
# 8 SP FLOPs/cycle: 4-wide SSE addition + 4-wide SSE multiplication
|
||||
#
|
||||
# Intel Sandy Bridge/Ivy Bridge:
|
||||
#
|
||||
# 8 DP FLOPs/cycle: 4-wide AVX addition + 4-wide AVX multiplication
|
||||
# 16 SP FLOPs/cycle: 8-wide AVX addition + 8-wide AVX multiplication
|
||||
#
|
||||
# Intel Haswell/Broadwell/Skylake/Kaby Lake:
|
||||
#
|
||||
# 16 DP FLOPs/cycle: two 4-wide FMA (fused multiply-add) instructions
|
||||
# 32 SP FLOPs/cycle: two 8-wide FMA (fused multiply-add) instructions
|
||||
|
||||
# https://www.dell.com/support/kbdoc/fr-fr/000137696/amd-rome-is-it-for-real-architecture-and-initial-hpc-performance
|
||||
# The Rome micro-architecture can retire 16 DP FLOP/cycle, double that of Naples which was 8 FLOPS/cycle
|
||||
|
||||
return {
|
||||
'sse4.1': 4,
|
||||
'sse4.2': 4,
|
||||
'avx': 8,
|
||||
'avx2': 16,
|
||||
'avx-512': 16,
|
||||
}[simd_id]
|
||||
|
||||
|
||||
def get_simd_id(proc_arch: CpuArchitecture) -> SimdId:
|
||||
"""
|
||||
:param str proc_arch: eg 'broadwell'
|
||||
|
|
@ -306,6 +329,9 @@ def get_simd_id(proc_arch: CpuArchitecture) -> SimdId:
|
|||
# - Double-precision floating point multiplies complete in 3 cycles (down from 4)
|
||||
'rome': 'avx2',
|
||||
'milan': 'avx2',
|
||||
'siena': 'avx2',
|
||||
'genoa': 'avx2',
|
||||
'bergamo': 'avx2',
|
||||
}[proc_arch]
|
||||
|
||||
|
||||
|
|
@ -481,7 +507,7 @@ class Config():
|
|||
return power_consumption
|
||||
|
||||
def get_flops(self) -> float:
|
||||
# print('%d servers * %d cpu %s * %d cores @ %f (%d flops/cycle)' % (self.num_servers, self.num_cpu_per_server, str(self.cpu.uid), self.cpu.num_cores, self.cpu.clock, self.cpu.num_dp_flop_per_cycle))
|
||||
# print('%d servers * %d cpu %s * %d cores @ %f (%d flops/cycle)' % (self.num_servers, self.num_cpu_per_server, str(self.cpu.uid), self.cpu.num_cores, self.cpu.clock, self.cpu.num_dp_flop_per_cycle_per_core))
|
||||
dynamic_frequency_scaling = 1.0 # https://en.wikichip.org/wiki/intel/frequency_behavior
|
||||
# https://www.nas.nasa.gov/hecc/support/kb/cascade-lake-processors_579.html
|
||||
# The Intel Cascade Lake processor incorporated into the Aitken cluster is the 20-core Xeon Gold 6248 model. Its base clock speed is 2.5 GHz for non-AVX, 1.9 GHz for AVX2, and 1.6 GHz for AVX-512.
|
||||
|
|
@ -496,7 +522,7 @@ class Config():
|
|||
elif self.cpu.architecture == 'saphhire rapids':
|
||||
dynamic_frequency_scaling = 1.0 # sapphire rapids seem to get closer to theoretical speed, see /home/graffy/work/concho/cpus_may2023_v3.pdf
|
||||
cpu_clock_when_computing = self.cpu.clock * dynamic_frequency_scaling
|
||||
flops = self.cpu.num_dp_flop_per_cycle * cpu_clock_when_computing * 1.e9 * self.cpu.num_cores * self.num_cpu_per_server * self.num_servers
|
||||
flops = self.cpu.num_dp_flop_per_cycle_per_core * cpu_clock_when_computing * 1.e9 * self.cpu.num_cores * self.num_cpu_per_server * self.num_servers
|
||||
return flops
|
||||
|
||||
def _init_dimm_slots(self):
|
||||
|
|
|
|||
|
|
@ -260,9 +260,16 @@ class HpeV2ConfiguratorParser(IHtmlConfiguratorParser):
|
|||
'''
|
||||
modules_element = root_element.xpath(self.get_xpath_filter('root_to_modules_element'))[0]
|
||||
# print(modules_element)
|
||||
module_label = self.get_module_label(module_id) # eg ProcessorSection_AdditionalProcessorsChoice
|
||||
print(f'module label: {module_label}')
|
||||
module_root = modules_element.xpath(f".//div[@id='{module_label}']")[0]
|
||||
if module_id == 'additional_cpus':
|
||||
module_labels = ['ProcessorSection_AdditionalProcessorsChoice', 'ProcessorSection_ProcessorChoice']
|
||||
else:
|
||||
module_labels = [self.get_module_label(module_id)]
|
||||
module_root = None
|
||||
for module_label in module_labels:
|
||||
module_roots = modules_element.xpath(f".//div[@id='{module_label}']")
|
||||
if len(module_roots) > 0:
|
||||
module_root = modules_element.xpath(f".//div[@id='{module_label}']")[0]
|
||||
break
|
||||
return module_root
|
||||
|
||||
def _parse_module_html_table(self, html_root: HtmlElement, module_id: str) -> pd.DataFrame:
|
||||
|
|
@ -285,10 +292,15 @@ class HpeV2ConfiguratorParser(IHtmlConfiguratorParser):
|
|||
label = row['description']
|
||||
cpu_price = parse_price(row['price'])
|
||||
match = re.match(r'^ *Intel Xeon-(?P<cpu_class>Bronze|Silver|Gold|Platinum) (?P<cpu_number>[0-9][0-9][0-9][0-9][HNPQRSLUVY]?[+]?).*', label)
|
||||
assert match, 'unhandled label : %s' % label
|
||||
# print(match['cpu_class'], match['cpu_number'])
|
||||
cpu_class = match['cpu_class'].lower()
|
||||
cpu_id = "intel-xeon-%s-%s" % (cpu_class, match['cpu_number'].lower())
|
||||
if match:
|
||||
# print(match['cpu_class'], match['cpu_number'])
|
||||
cpu_class = match['cpu_class'].lower()
|
||||
cpu_id = "intel-xeon-%s-%s" % (cpu_class, match['cpu_number'].lower())
|
||||
else:
|
||||
# AMD EPYC 9174F 4.1GHz 16-core 320W Processor for HPE
|
||||
match = re.match(r'^ *AMD EPYC *(?P<cpu_number>[0-9][0-9][0-9][0-9][F]?) .*', label)
|
||||
assert match, 'unhandled label : %s' % label
|
||||
cpu_id = f"amd-epyc-{match['cpu_number'].lower()}"
|
||||
cpu = Cpu(cpu_id)
|
||||
option = Option(cpu, cpu_price)
|
||||
for selected_item in range(Quantity(row['quantity']).num_selected):
|
||||
|
|
@ -328,7 +340,7 @@ class HpeV2ConfiguratorParser(IHtmlConfiguratorParser):
|
|||
@staticmethod
|
||||
def _parse_base_config_info(html_root: HtmlElement) -> Tuple[str, Price]:
|
||||
prod_titles_grp_el = html_root.xpath(r".//div[@class='prod-titles-grp']")[0]
|
||||
assert prod_titles_grp_el
|
||||
assert prod_titles_grp_el is not None
|
||||
|
||||
# <div class="prod-titles-grp">
|
||||
# <span id="main_title" title="DL380 Gen11 (Cat2 Conf16)" class="product-title pull-left">DL380 Gen11 (Cat2 Conf16)</span>
|
||||
|
|
@ -336,8 +348,9 @@ class HpeV2ConfiguratorParser(IHtmlConfiguratorParser):
|
|||
# </div>
|
||||
product_subtitle = prod_titles_grp_el.xpath(r".//span[@class='product_subtitle']")[0].text.replace('\n', '').replace('\t', '') # eg HPE ProLiant DL380 Gen11 8SFF NC Configure-to-order Server
|
||||
# print(product_subtitle)
|
||||
match = re.match(r'^HPE ProLiant DL(?P<chassis_number>[3][68][05]) *Gen11 *8SFF *NC *Configure-to-order *Server$', product_subtitle)
|
||||
assert match
|
||||
#match = re.match(r'^HPE ProLiant DL(?P<chassis_number>[3][68][05]) *Gen11 *8SFF *NC *Configure-to-order *Server *$', product_subtitle)
|
||||
match = re.match(r'^HPE ProLiant DL(?P<chassis_number>[3][68][05]) *Gen11 *8SFF.*$', product_subtitle)
|
||||
assert match, f'unrecognized chassis description: "{product_subtitle}"'
|
||||
chassis_number = match['chassis_number']
|
||||
# configurator.base_config = self._parse_base_config()
|
||||
chassis_id = f"hpe-proliant-dl{chassis_number}-gen11"
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
# -*- coding: utf-8 -*-
|
||||
from typing import List
|
||||
from typing import List, Optional
|
||||
from abc import abstractmethod
|
||||
import numpy
|
||||
# import pylab
|
||||
|
|
@ -11,8 +11,9 @@ import hashlib
|
|||
# from string import ascii_lowercase
|
||||
# from concho.config import Configurator
|
||||
# from concho.config import Config
|
||||
from concho.config import Cpu, MemSize, Configurator
|
||||
from concho.config import Cpu, MemSize, Configurator, Config
|
||||
# from concho import dell
|
||||
from pathlib import Path
|
||||
|
||||
markerTypes = [',', '+', '.', '^', 'v', '<', '>', 'o', '*', '1', '2', '3', '4', '8', 's', 'p', 'h', 'H', 'x', 'X', 'D', 'd', '|', '_']
|
||||
# for c in ascii_lowercase:
|
||||
|
|
@ -121,10 +122,11 @@ class ConfigFlopsPerEuro(ConfigAxisDef):
|
|||
return item_total_num_ops / itemTotalCost
|
||||
|
||||
|
||||
def plot_configs(configs, xaxis_def, yaxis_def, plot_title):
|
||||
def plot_configs(configs: List[Config], xaxis_def: ConfigAxisDef, yaxis_def: ConfigAxisDef, plot_title: str, figure_file_path: Optional[Path] = None):
|
||||
"""
|
||||
Args:
|
||||
configs (list(Config)): the tist of configurations to plot
|
||||
configs: the list of configurations to plot
|
||||
figure_file_path: eg './figures/hpe_bpu11.pdf' if None, the figure is displayed on the screen instead of being saved in a file
|
||||
"""
|
||||
|
||||
def GHzToMHz(frequency):
|
||||
|
|
@ -143,8 +145,11 @@ def plot_configs(configs, xaxis_def, yaxis_def, plot_title):
|
|||
'cascadelake': 0.8,
|
||||
'icelake': 0.9,
|
||||
'sapphire rapids': 1.0,
|
||||
'rome': 0.8,
|
||||
'milan': 1.0,
|
||||
'rome': 0.2,
|
||||
'milan': 0.4,
|
||||
'siena': 1.0,
|
||||
'genoa': 1.0,
|
||||
'bergamo': 1.0,
|
||||
}[Cpu(proc_id).architecture]
|
||||
# if model == 'r620':
|
||||
# color = 'r'
|
||||
|
|
@ -174,7 +179,8 @@ def plot_configs(configs, xaxis_def, yaxis_def, plot_title):
|
|||
'hpe-proliant-dl360-gen10+': 0.55,
|
||||
'hpe-proliant-dl385-gen10': 0.0,
|
||||
'hpe-proliant-dl385-gen10+': 0.0,
|
||||
'hpe-proliant-dl380-gen11': 0.1,
|
||||
'hpe-proliant-dl365-gen11': 0.0,
|
||||
'hpe-proliant-dl380-gen11': 0.6,
|
||||
}[model]
|
||||
value = 0.9
|
||||
return matplotlib.colors.hsv_to_rgb((hue, saturation, value))
|
||||
|
|
@ -223,11 +229,13 @@ def plot_configs(configs, xaxis_def, yaxis_def, plot_title):
|
|||
plt.grid(visible=True, which='minor', color='b', linestyle='-', linewidth=0.2)
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plt.legend(bbox_to_anchor=(1.1, 1.1), ncol=2)
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plt.draw()
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|
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plt.show()
|
||||
if figure_file_path:
|
||||
plt.savefig(figure_file_path)
|
||||
else:
|
||||
plt.show()
|
||||
|
||||
|
||||
def plot_configurators(configurators: List[Configurator], ram_per_core: MemSize, xaxis_def, yaxis_def, plot_title, config_filter=lambda config: True):
|
||||
def plot_configurators(configurators: List[Configurator], ram_per_core: MemSize, xaxis_def: ConfigAxisDef, yaxis_def: ConfigAxisDef, plot_title: str, config_filter=lambda config: True, figure_file_path: Optional[Path] = None):
|
||||
configs = []
|
||||
for configurator in configurators:
|
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for cpu in configurator.get_cpu_options():
|
||||
|
|
@ -238,4 +246,4 @@ def plot_configurators(configurators: List[Configurator], ram_per_core: MemSize,
|
|||
if config_filter(config):
|
||||
configs.append(config)
|
||||
|
||||
plot_configs(configs, xaxis_def=xaxis_def, yaxis_def=yaxis_def, plot_title=plot_title)
|
||||
plot_configs(configs, xaxis_def=xaxis_def, yaxis_def=yaxis_def, plot_title=plot_title, figure_file_path=figure_file_path)
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@ from concho.hpe import HpeConfiguratorParser, HpeCpuChoiceConfiguratorParser
|
|||
from concho.hpev2 import HpeV2ConfiguratorParser
|
||||
from concho.procs_chooser import plot_configurators
|
||||
from concho.procs_chooser import ConfigPrice
|
||||
# from concho.procs_chooser import ConfigFlops
|
||||
from concho.procs_chooser import ConfigFlops
|
||||
from concho.procs_chooser import ConfigFlopsPerEuro
|
||||
|
||||
|
||||
|
|
@ -92,15 +92,16 @@ def test_ur1_presents_2023_configs():
|
|||
|
||||
def test_hpe_bpu11_configs():
|
||||
configurators = [
|
||||
# HtmlConfigurator('20210407 - Cat2 Conf4 PowerEdge R640 - Dell.html', DellConfiguratorParser2021()),
|
||||
HtmlConfigurator(Path('catalogs/hpev2/20250314-cat2-conf16-hpe-dl380-gen11.html'), HpeV2ConfiguratorParser()),
|
||||
HtmlConfigurator(Path('catalogs/hpev2/20250314-cat2-conf19-hpe-dl365-gen11.html'), HpeV2ConfiguratorParser()),
|
||||
]
|
||||
|
||||
def config_filter(config):
|
||||
return True # config.get_price() < 40000.0
|
||||
|
||||
plot_configurators(configurators=configurators, ram_per_core=4.0e9, xaxis_def=ConfigPrice(), yaxis_def=ConfigFlopsPerEuro(), plot_title='physmol/ts credit 2023 configs', config_filter=config_filter)
|
||||
plot_configurators(configurators=configurators, ram_per_core=4.0e9, xaxis_def=ConfigPrice(), yaxis_def=ConfigFlopsPerEuro(), plot_title='physmol/dbossion ais configs', config_filter=config_filter, figure_file_path='./hpe-2025-03-14.pdf')
|
||||
|
||||
# plot_configurators(configurators=configurators, ram_per_core=4.0e9, xaxis_def=ConfigPrice(), yaxis_def=ConfigFlops(), plot_title='physmol/dbossion ais configs', config_filter=config_filter)
|
||||
|
||||
if __name__ == '__main__':
|
||||
test_hpe_bpu11_configs()
|
||||
|
|
|
|||
Loading…
Reference in New Issue