Single-node benchmark results - Revision history

70.51.241.60: /* Raw results */

2014-12-20T23:52:43Z

‎Raw results

70.51.241.60: /* Benchmark Results */

2014-12-20T23:52:19Z

‎Benchmark Results

70.51.241.60: /* Benchmark Results */

2014-12-11T18:41:32Z

‎Benchmark Results

70.51.241.60: /* Raw results */

2014-12-11T18:41:09Z

‎Raw results

Eschnett: /* Benchmark Results */

2014-12-10T11:32:55Z

‎Benchmark Results

Eschnett: /* Single-node benchmark results */

2014-12-10T11:08:53Z

‎Single-node benchmark results

Eschnett at 11:08, 10 December 2014

2014-12-10T11:08:43Z

New page

=Single-node benchmark results=

Benchmark: Evolve Einstein equations on unigrid, single-node
performance. We measure amoritzed time per grid point update (gp), per
core. Smaller is better.

To obtain per-node timings, divide by the number of cores on each
node. To obtain the performance/cost ratio, multiply the per-node timing
by the per-node-time cost (e.g. 16 SU/h for Blue Waters).

The ''procs'', ''threads'', ''points'', and ''iters'' describe the particular
benchmarking configuration. These are optimized for each machine.

The ''flop'' column measures how many floating-point operations (flop) a
core could theoretically have performed in the time it takes to
evaluate one grid point update. This measures the floating point
efficiency of the code; large numbers indicate that further
optimizations may be possible. The actual flop count is about 5000;
this number is not exactly defined because various more or less
obvious optimizations are possible.

==Benchmark Results==

Date: 2014-12-10

{|
! machine !! location !! procs !! threads !! points !! iters !! flop/gp !! time[μs]/gp
|-
| Mike || LSU || 8 || 2 || 179^3 || 87 || 70667.6 || 3.39748
|-
| Shelob || LSU || 8 || 2 || 179^3 || 87 || 70809.9 || 3.40432
|-
| Stampede || TACC || 8 || 2 || 179^3 || 90 || 77383.6 || 3.58258
|-
| Gordon || SDSC || 8 || 2 || 179^3 || 87 || 77075.6 || 3.70556
|-
| Datura || AEI || 12 || 1 || 163^3 || 44 || 51019.6 || 4.78428
|-
| Blue Waters || NCSA || 32 || 1 || 226^3 || 40 || 74101.8 || 7.56141
|-
| Trestles || SDSC || 32 || 1 || 226^3 || 39 || 86707.5 || 9.03204
|-
| SHC || Caltech || 2 || 4 || 143^3 || 19 || 55291.1 || 11.519
|-
| Stampede-MIC || TACC || 60 || 4 || 140^3 || 57 || 501478 || 28.493
|}

Note: Stampede-MIC runs on the MICs (Intel Xeon Phi) accelerators of
Stampede. Our code has been optimized for CPUs, but not yet for
accelerators, explaining the poor performance there.

==Raw results==

<pre>
[2014-12-07 09:52:39]: benchmarks-mike-Cbeta-sim-minkowski-amr-lev01-grid000179-iter044545-nodes0001-cores000016-procs000008-threads0002-smt01-run0000: 3.39748e-06 sec, 70667.6 flop
[2014-12-07 15:04:09]: benchmarks-shelob-Cbeta-sim-minkowski-amr-lev01-grid000179-iter044545-nodes0001-cores000016-procs000008-threads0002-smt01-run0000: 3.40432e-06 sec, 70809.9 flop
[2014-12-07 15:20:52]: benchmarks-trestles-Cbeta-sim-minkowski-amr-lev01-grid000226-iter019969-nodes0001-cores000032-procs000032-threads0001-smt01-run0000: 9.03204e-06 sec, 86707.5 flop
[2014-12-07 17:57:56]: benchmarks-shc-Cbeta-sim-minkowski-amr-lev01-grid000143-iter009729-nodes0001-cores000008-procs000002-threads0004-smt01-run0000: 1.1519e-05 sec, 55291.1 flop
[2014-12-08 14:13:33]: benchmarks-gordon-Cbeta-sim-minkowski-amr-lev01-grid000179-iter044545-nodes0001-cores000016-procs000008-threads0002-smt01-run0000: 3.70556e-06 sec, 77075.6 flop
[2014-12-08 19:47:39]: benchmarks-bluewaters-Cbeta-sim-minkowski-amr-lev01-grid000226-iter020481-nodes0001-cores000032-procs000032-threads0001-smt01-run0000: 7.56141e-06 sec, 74101.8 flop
[2014-12-08 22:00:05]: benchmarks-stampede-Cbeta-sim-minkowski-amr-lev01-grid000179-iter046081-nodes0001-cores000016-procs000008-threads0002-smt01-run0000: 3.58258e-06 sec, 77383.6 flop
[2014-12-09 12:02:39]: benchmarks-stampede-mic-Cbeta-sim-minkowski-amr-lev01-grid000140-iter029185-nodes0001-cores000060-procs000060-threads0004-smt04-run0000: 2.8493e-05 sec, 501478 flop
[2014-12-09 14:22:26]: benchmarks-datura-Cbeta-sim-minkowski-amr-lev01-grid000163-iter022529-nodes0001-cores000012-procs000012-threads0001-smt01-run0000: 4.78428e-06 sec, 51019.6 flop
</pre>

@@ Line 70: / Line 70: @@
 [2014-12-10 11:58:10]: benchmarks-zwicky-Cbeta-sim-minkowski-amr-lev01-grid000163-iter022529-nodes0001-cores000012-procs000006-threads0002-smt01-run0000: 5.18013e-06 sec, 55116.6 flop
 [2014-12-11 17:54:39]: benchmarks-hopper-Cbeta-sim-minkowski-amr-lev01-grid000205-iter017921-nodes0001-cores000024-procs000024-threads0001-smt01-run0000: 9.02733e-06 sec, 75829.6 flop
 </pre>

←Older revision		Revision as of 11:08, 10 December 2014
Line 1:		Line 1:
−	~~=Single-node benchmark results=~~
−
	Benchmark: Evolve Einstein equations on unigrid, single-node		Benchmark: Evolve Einstein equations on unigrid, single-node
	performance. We measure amoritzed time per grid point update (gp), per		performance. We measure amoritzed time per grid point update (gp), per

@@ Line 34: / Line 34: @@
 |-
 | Gordon         || SDSC      ||     8 ||       2 ||  179^3 ||    87 ||  77075.6 ||     3.70556
 |-
 | Datura         || AEI       ||    12 ||       1 ||  163^3 ||    44 ||  51019.6 ||     4.78428

@@ Line 40: / Line 40: @@
 |-
 | Blue Waters    || NCSA      ||    32 ||       1 ||  226^3 ||    40 ||  74101.8 ||     7.56141
 |-
 | Trestles       || SDSC      ||    32 ||       1 ||  226^3 ||    39 ||  86707.5 ||     9.03204

@@ Line 64: / Line 64: @@
 [2014-12-09 12:02:39]: benchmarks-stampede-mic-Cbeta-sim-minkowski-amr-lev01-grid000140-iter029185-nodes0001-cores000060-procs000060-threads0004-smt04-run0000: 2.8493e-05 sec, 501478 flop
 [2014-12-09 14:22:26]: benchmarks-datura-Cbeta-sim-minkowski-amr-lev01-grid000163-iter022529-nodes0001-cores000012-procs000012-threads0001-smt01-run0000: 4.78428e-06 sec, 51019.6 flop
 </pre>

@@ Line 36: / Line 36: @@
 |-
 | Datura         || AEI       ||    12 ||       1 ||  163^3 ||    44 ||  51019.6 ||     4.78428
 |-
 | Blue Waters    || NCSA      ||    32 ||       1 ||  226^3 ||    40 ||  74101.8 ||     7.56141
@@ Line 49: / Line 51: @@
 Stampede. Our code has been optimized for CPUs, but not yet for
 accelerators, explaining the poor performance there.
 ==Raw results==