reimplemented script for making MHFEM performance tables in Python (4b37471f) · Commits · Jakub Klinkovský / Dissertation

data/mcwhdd/comptimes_cpu_nodes.csv

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Original line number	Diff line number	Diff line
		"Note: RCM ordering for 2D, original (Comsol) ordering for 3D"
		"GPU: Nvidia Tesla V100 (helios.fjfi.cvut.cz)"
		"CPU: Intel Xeon Gold 6146 (rci.cvut.cz)"

		"3D^\triangle_5"
		"cores" "CPUs" "nodes" "CT" "Sp" "Eff"
		12 1 " 1/2" 23949.5 1.0 1.00
		24 2 1 12255.5 2.0 0.98
		48 4 2 6171.4 3.9 0.97
		72 6 3 4026.3 5.9 0.99
		96 8 4 3016.0 7.9 0.99
		120 10 5 2374.4 10.1 1.01
		144 12 6 1968.2 12.2 1.01
		168 14 7 1643.1 14.6 1.04
		192 16 8 1410.4 17.0 1.06
		216 18 9 1242.5 19.3 1.07
		240 20 10 1114.3 21.5 1.07
		264 22 11 1003.8 23.9 1.08
		288 24 12 924.2 25.9 1.08
		312 26 13 860.5 27.8 1.07
		336 28 14 807.3 29.7 1.06
		360 30 15 761.6 31.4 1.05
		384 32 16 702.4 34.1 1.07

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Original line number	Diff line number	Diff line
		"Note: RCM ordering for 2D, original (Comsol) ordering for 3D"
		"GPU: Nvidia Tesla V100 (helios.fjfi.cvut.cz)"
		"CPU: Intel Xeon Gold 6146 (rci.cvut.cz)"

		"GPU"
		"1 rank" "2 ranks" "3 ranks" "4 ranks"
		"Id." "CT" "CT" "Sp_2" "CT" "Sp_3" "CT" "Sp_4"
		"BiCGStab" "2D^\triangle_1" 0.5 0.8 0.6 0.9 0.5 1.1 0.4
		"2D^\triangle_2" 2.6 3.7 0.7 4.4 0.6 5.1 0.5
		"2D^\triangle_3" 13.8 19.1 0.7 23.0 0.6 26.7 0.5
		"2D^\triangle_4" 87.6 113.3 0.8 126.2 0.7 148.7 0.6
		"2D^\triangle_5" 528.6 566.1 0.9 642.5 0.8 709.7 0.7

		"3d tetrahedrons"

		"GPU"
		"1 rank" "2 ranks" "3 ranks" "4 ranks"
		"Id." "CT" "CT" "Sp_2" "CT" "Sp_3" "CT" "Sp_4"
		"BiCGStab" "3D^\triangle_1" 0.3 0.5 0.6 0.7 0.5 0.8 0.4
		"3D^\triangle_2" 0.6 0.9 0.7 1.1 0.5 1.3 0.5
		"3D^\triangle_3" 3.5 4.2 0.8 4.8 0.7 5.7 0.6
		"3D^\triangle_4" 54.2 36.7 1.5 33.4 1.6 30.6 1.8
		"3D^\triangle_5" 2654.8 1415.4 1.9 996.7 2.7 793.3 3.3

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