Microsoft Azure HBv4 HPC Comparison Benchmarks

Benchmarks for a future article on Phoronix looking at HBv4 Genoa-X Linux performance..

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2307288-NE-2307274NE45
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Timed Code Compilation 2 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 8 Tests
Creator Workloads 4 Tests
Fortran Tests 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 6 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 3 Tests
Multi-Core 13 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 6 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 2 Tests
Renderers 2 Tests
Scientific Computing 3 Tests
Server CPU Tests 6 Tests

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Identifier
Performance Per
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Date
Run
  Test
  Duration
HC
July 04 2023
  6 Hours, 58 Minutes
HBv2
July 03 2023
  7 Hours, 49 Minutes
HBv3
July 02 2023
  6 Hours, 48 Minutes
HBv4
July 01 2023
  9 Hours, 44 Minutes
HBv4 + Optimizations
July 26 2023
  3 Hours, 37 Minutes
HBv3 + Optimizations
July 27 2023
  3 Hours, 46 Minutes
HBv2 + Optimizations
July 27 2023
  4 Hours, 17 Minutes
HC + Optimizations
July 27 2023
  3 Hours, 27 Minutes
Invert Hiding All Results Option
  5 Hours, 48 Minutes

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Microsoft Azure HBv4 HPC Comparison Benchmarks Suite 1.0.0 System Test suite extracted from Microsoft Azure HBv4 HPC Comparison Benchmarks. pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/libxsmm-1.0.1 128 128 128 M N K: 128 pts/libxsmm-1.0.1 256 256 256 M N K: 256 pts/petsc-1.0.0 streams Test: Streams pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/hpcg-1.3.0 --nx=160 --ny=160 --nz=160 --rt=60 X Y Z: 160 160 160 - RT: 60 pts/blender-3.6.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/hpcg-1.3.0 --nx=144 --ny=144 --nz=144 --rt=60 X Y Z: 144 144 144 - RT: 60 pts/build-nodejs-1.3.0 Time To Compile pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/pgbench-1.13.0 -s 1 -c 500 -S Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.13.0 -s 1 -c 500 -S Scaling Factor: 1 - Clients: 500 - Mode: Read Only pts/pgbench-1.13.0 -s 1 -c 800 -S Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency pts/pgbench-1.13.0 -s 1 -c 800 -S Scaling Factor: 1 - Clients: 800 - Mode: Read Only pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/blender-3.6.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/npb-1.4.5 sp.C Test / Class: SP.C pts/laghos-1.0.0 -p 1 -m data/cube_922_hex.mesh -rs 2 -tf 0.6 -no-vis -pa Test: Sedov Blast Wave, ube_922_hex.mesh pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/npb-1.4.5 ep.D Test / Class: EP.D pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/compress-7zip-1.10.0 Test: Decompression Rating pts/compress-7zip-1.10.0 Test: Compression Rating pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/npb-1.4.5 bt.C Test / Class: BT.C pts/blender-3.6.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/laghos-1.0.0 -p 3 -m data/box01_hex.mesh -rs 2 -tf 5.0 -vis -pa Test: Triple Point Problem pts/liquid-dsp-1.6.0 -n 176 -b 256 -f 512 Threads: 176 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 176 -b 256 -f 32 Threads: 176 - Buffer Length: 256 - Filter Length: 32 pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/liquid-dsp-1.6.0 -n 176 -b 256 -f 57 Threads: 176 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 57 Threads: 128 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 128 -b 256 -f 32 Threads: 128 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 32 Threads: 32 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/npb-1.4.5 is.D Test / Class: IS.D pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/heffte-1.0.0 c2c stock double-long 512 512 512 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 pts/heffte-1.0.0 c2c stock double 512 512 512 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 pts/heffte-1.0.0 c2c fftw double-long 512 512 512 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 pts/heffte-1.0.0 c2c fftw double 512 512 512 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 pts/heffte-1.0.0 r2c fftw float-long 256 256 256 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 pts/heffte-1.0.0 r2c stock float 256 256 256 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 pts/heffte-1.0.0 c2c fftw double 128 128 128 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 pts/heffte-1.0.0 r2c stock float-long 256 256 256 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 pts/heffte-1.0.0 c2c stock double 128 128 128 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 pts/heffte-1.0.0 r2c fftw double 256 256 256 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 pts/heffte-1.0.0 r2c stock double-long 256 256 256 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 pts/npb-1.4.5 mg.C Test / Class: MG.C pts/heffte-1.0.0 c2c fftw float-long 256 256 256 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 pts/heffte-1.0.0 c2c stock float-long 512 512 512 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 pts/heffte-1.0.0 c2c stock float 512 512 512 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 pts/heffte-1.0.0 r2c fftw double-long 256 256 256 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 pts/heffte-1.0.0 r2c stock double-long 512 512 512 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 pts/heffte-1.0.0 r2c stock double 512 512 512 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 pts/heffte-1.0.0 r2c fftw double-long 512 512 512 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 pts/heffte-1.0.0 r2c fftw double 512 512 512 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 pts/heffte-1.0.0 r2c stock double 256 256 256 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 pts/heffte-1.0.0 c2c fftw float 512 512 512 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 pts/heffte-1.0.0 c2c fftw float-long 512 512 512 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 pts/npb-1.4.5 cg.C Test / Class: CG.C pts/heffte-1.0.0 c2c stock float 256 256 256 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 pts/heffte-1.0.0 c2c fftw float 256 256 256 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 pts/npb-1.4.5 ft.C Test / Class: FT.C pts/heffte-1.0.0 c2c fftw double-long 256 256 256 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 pts/heffte-1.0.0 c2c fftw double-long 128 128 128 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 pts/heffte-1.0.0 r2c fftw float 256 256 256 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/heffte-1.0.0 c2c stock float-long 256 256 256 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 pts/heffte-1.0.0 r2c fftw float 512 512 512 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 pts/heffte-1.0.0 c2c stock double 256 256 256 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 pts/remhos-1.0.0 -m ./data/inline-quad.mesh -p 14 -rs 2 -rp 1 -dt 0.0005 -tf 0.6 -ho 1 -lo 2 -fct 3 Test: Sample Remap Example pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/heffte-1.0.0 r2c stock float 512 512 512 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 pts/heffte-1.0.0 r2c stock float-long 512 512 512 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 pts/heffte-1.0.0 r2c fftw float-long 512 512 512 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/heffte-1.0.0 c2c stock double-long 256 256 256 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 pts/heffte-1.0.0 c2c fftw double 256 256 256 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU