Internal:ACDT3D Scitech2018

Results

First Method

case: cube polar-2 metric going from 8K complexity to 500k

case: delta wing going from 5K complexity to 500k

Second Method

Starting from a 50K Complexity volume mesh

Results include no boundary adaptation

Size of initial mesh

Vertices : 104,305

Tetrahedra: 581,196

1M Complexity (~12M Tetrahedra)

crtc-gpu node

Cores	TPrep	TE2E	Ne	Np	Speede (elms/sec)	Speedp (points/sec)	Specs
24	2.38	88.31	11,122,131	1,864,227	115,466.48	19,278.37	[1]
24 +12HT	2.27	82.62	11,125,744	1,864,711	124,214.25	20,737.50	[1]
24 + 24HT	2.15	72.73	11,130,150	1,865,647	140,878.13	23,522.20	[1]

turing coreV2-himem node

Cores	TPrep	TE2E	Ne	Np	Speede (elms/sec)	Speedp (points/sec)	Specs
24	2.64	110.16	11,119,089	1,863,716	93,421.04	15,597.62	[2]
32	2.60	91.44	11,114,943	1,862,960	115,198.46	19,232.88	[2]

more data here : here

10M Complexity (~120M Tetrahedra)

software-name	Cores	TPrep	TE2E	Ne	Np	Speede (elms/sec)	Speedp (points/sec)	Specs
CDT3D	24 + 24HT	2.41	1,277.66	109,884,436	18,365,004	85,388.49	14,265.39	[1]

more data here : here

100M Complexity (~1.2B Tetrahedra)

software-name	Cores	TPrep	TE2E	Ne	Np	Speede (elms/sec)	Speedp (points/sec)	Specs
CDT3D	24 + 24HT	2.90	21,572.60	1,096,524,832	183,097,400	50,795.75	8,481.52	[1]

more data here : here

[1] 24 hardware cores Intel® Xeon® CPU E5-2697v2@2.70 GHz, 757 GB RAM and Hyper-threading Support

[2] 32 hardware cores Intel® Xeon® E5-4610 v2 @2.30GHz, 757 GB RAM

Third Method

Scalable complexity

Scalable Complexity (in-memory)

Paper

public https://www.overleaf.com/15174959jmkkqdctrvyb

50k to 500k complexity detailed data