SPEChpc™ 2021 Small Result

Copyright 2021-2023 Standard Performance Evaluation Corporation

xFusion

FusionServer G5500 V6 (Intel Xeon Platinum 8380, Nvidia A100-PCIE-80G)

SPEChpc 2021_sml_base = 6.58

SPEChpc 2021_sml_peak = 6.79

hpc2021 License: 6488 Test Date: Jul-2022
Test Sponsor: xFusion Hardware Availability: Apr-2021
Tested by: xFusion Software Availability: May-2022

Benchmark result graphs are available in the PDF report.

Results Table

Benchmark Base Peak
Model Ranks Thrds/Rnk Seconds Ratio Seconds Ratio Seconds Ratio Model Ranks Thrds/Rnk Seconds Ratio Seconds Ratio Seconds Ratio
SPEChpc 2021_sml_base 6.58
SPEChpc 2021_sml_peak 6.79
Results appear in the order in which they were run. Bold underlined text indicates a median measurement.
605.lbm_s ACC 7 1 100 15.50 100 15.50 ACC 7 1 97.5 15.90 97.7 15.90
613.soma_s ACC 7 1 120 13.40 119 13.50 ACC 7 1 1200 13.40 1190 13.50
618.tealeaf_s ACC 7 1 1084 1.89 1083 1.89 ACC 7 1 9150 2.24 9150 2.24
619.clvleaf_s ACC 7 1 179 9.24 179 9.24 ACC 7 1 1790 9.24 1790 9.24
621.miniswp_s ACC 7 1 480 2.29 480 2.29 ACC 7 1 4340 2.53 4400 2.50
628.pot3d_s ACC 7 1 192 8.70 193 8.68 ACC 7 1 1920 8.70 1930 8.68
632.sph_exa_s ACC 7 1 446 5.16 445 5.17 ACC 7 1 4420 5.20 4440 5.18
634.hpgmgfv_s ACC 7 1 364 2.68 363 2.68 ACC 7 1 3640 2.68 3620 2.69
635.weather_s ACC 7 1 112 23.30 112 23.30 ACC 7 1 1120 23.30 1120 23.30
Hardware Summary
Type of System: SMP
Compute Node: FusionServer G5500 V6
Interconnect: None
Compute Nodes Used: 1
Total Chips: 2
Total Cores: 80
Total Threads: 80
Total Memory: 1 TB
Max. Peak Threads: 1
Software Summary
Compiler: Nvidia HPC SDK 22.5
MPI Library: OpenMPI Version 4.0.5, included with NVHPC SDK
Base Parallel Model: ACC
Base Ranks Run: 7
Base Threads Run: 1
Peak Parallel Models: ACC
Minimum Peak Ranks: 7
Maximum Peak Ranks: 7
Max. Peak Threads: 1
Min. Peak Threads: 1

Node Description: FusionServer G5500 V6

Hardware
Number of nodes: 1
Uses of the node: compute
Vendor: xFusion
Model: FusionServer G5500 V6
CPU Name: Intel Xeon Platinum 8380
CPU(s) orderable: 1, 2 chips
Chips enabled: 2
Cores enabled: 80
Cores per chip: 40
Threads per core: 1
CPU Characteristics: Intel Turbo Boost Technology up to 3.4 GHz
CPU MHz: 2300
Primary Cache: 32 KB I + 48 KB D on chip per core
Secondary Cache: 1.25 MB I+D on chip per core
L3 Cache: 60 MB I+D on chip per chip
Other Cache: None
Memory: 1 TB (16 x 64 GB 2Rx4 PC4-3200A-R)
Disk Subsystem: 1 x 3.2 TB NVMe SSD
Other Hardware: None
Accel Count: 8
Accel Model: Tesla A100 PCIe 80GB
Accel Vendor: Nvidia Corporation
Accel Type: GPU
Accel Connection: PCIe Gen4 x16
Accel ECC enabled: Yes
Accel Description: Nvidia Tesla A100 PCIe 80GB
Adapter: None
Number of Adapters: 0
Slot Type: None
Data Rate: None
Ports Used: 0
Interconnect Type: None
Software
Accelerator Driver: NVIDIA UNIX x86_64 Kernel Module 515.43.04
Adapter: None
Adapter Driver: None
Adapter Firmware: None
Operating System: CentOS Linux release 8.2.2004
4.18.0-193.el8.x86_644
Local File System: xfs
Shared File System: None
System State: Multi-user, run level 3
Other Software: None

Interconnect Description: None

Submit Notes

The config file option 'submit' was used.
MPIRUN_OPTS = --allow-run-as-root --bind-to none
submit = mpirun --allow-run-as-root -x UCX_MEMTYPE_CACHE=n -np $ranks perl $[top]/bind.pl $command

Compiler Version Notes

==============================================================================
 CC  605.lbm_s(base, peak) 613.soma_s(base, peak) 618.tealeaf_s(base, peak)
      621.miniswp_s(base, peak) 634.hpgmgfv_s(base, peak)
------------------------------------------------------------------------------
nvc 22.5-0 64-bit target on x86-64 Linux -tp skylake-avx512 
NVIDIA Compilers and Tools
Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
------------------------------------------------------------------------------

==============================================================================
 CXXC 632.sph_exa_s(base, peak)
------------------------------------------------------------------------------
nvc++ 22.5-0 64-bit target on x86-64 Linux -tp skylake-avx512 
NVIDIA Compilers and Tools
Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
------------------------------------------------------------------------------

==============================================================================
 FC  619.clvleaf_s(base, peak) 628.pot3d_s(base, peak) 635.weather_s(base,
      peak)
------------------------------------------------------------------------------
nvfortran 22.5-0 64-bit target on x86-64 Linux -tp skylake-avx512 
NVIDIA Compilers and Tools
Copyright (c) 2022, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
------------------------------------------------------------------------------

Base Compiler Invocation

C benchmarks:

 mpicc 

C++ benchmarks:

 mpicxx 

Fortran benchmarks:

 mpif90 

Base Portability Flags

632.sph_exa_s:  --c++17 

Base Optimization Flags

C benchmarks:

 -fast   -acc=gpu   -Mfprelaxed   -Mnouniform   -Mstack_arrays   -DSPEC_ACCEL_AWARE_MPI 

C++ benchmarks:

 -fast   -acc=gpu   -Mfprelaxed   -Mnouniform   -Mstack_arrays   -DSPEC_ACCEL_AWARE_MPI 

Fortran benchmarks:

 -DSPEC_ACCEL_AWARE_MPI   -fast   -acc=gpu   -Mfprelaxed   -Mnouniform   -Mstack_arrays 

Base Other Flags

C benchmarks:

 -w 

C++ benchmarks:

 -w 

Fortran benchmarks:

 -w 

Peak Compiler Invocation

C benchmarks:

 mpicc 

C++ benchmarks:

 mpicxx 

Fortran benchmarks:

 mpif90 

Peak Optimization Flags

C benchmarks:

605.lbm_s:  -fast   -acc=gpu   -O3   -Mfprelaxed   -Mnouniform   -DSPEC_ACCEL_AWARE_MPI 
613.soma_s:  basepeak = yes 
618.tealeaf_s:  -fast   -acc=gpu   -Msafeptr   -DSPEC_ACCEL_AWARE_MPI 
621.miniswp_s:  -fast   -acc=gpu   -gpu=pinned 
634.hpgmgfv_s:  -fast   -acc=gpu   -static-nvidia   -DSPEC_ACCEL_AWARE_MPI 

C++ benchmarks:

 -fast   -acc=gpu   -O3   -Mfprelaxed   -Mnouniform   -Mstack_arrays   -static-nvidia   -DSPEC_ACCEL_AWARE_MPI 

Fortran benchmarks:

619.clvleaf_s:  basepeak = yes 
628.pot3d_s:  basepeak = yes 
635.weather_s:  -DSPEC_ACCEL_AWARE_MPI   -fast   -acc=gpu   -O3   -Mfprelaxed   -Mnouniform   -Mstack_arrays   -static-nvidia 

Peak Other Flags

C benchmarks:

 -w 

C++ benchmarks:

 -w 

Fortran benchmarks:

 -w 

The flags file that was used to format this result can be browsed at
http://www.spec.org/hpc2021/flags/nv2021_flags_v1.0.3.2022-08-24.html.

You can also download the XML flags source by saving the following link:
http://www.spec.org/hpc2021/flags/nv2021_flags_v1.0.3.2022-08-24.xml.