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  1. 17 Mar, 2026 1 commit
  3. 11 Mar, 2026 1 commit
  5. 04 Feb, 2026 1 commit
  7. 28 Jan, 2026 1 commit
  9. 21 Dec, 2025 1 commit
    • Hongtao Zhang's avatar
      CI/CD - Fix Azure pipeline (#767) · c99380b4
      Hongtao Zhang authored 
      

**Description**
Azure pipeline cpu-unit-test failed for "2025-12-10T03:47:59.0628597Z
ERROR: Could not install packages due to an OSError: [Errno 28] No space
left on device"

**Root Cause**
This happens because the matrix jobs (Python 3.7, 3.10, 3.12) run in
parallel and share the same VM's disk. Python 3.12 downloads
newer/larger packages (especially PyTorch and NVIDIA CUDA libraries
which are ~3GB+), and when multiple jobs run simultaneously, they
exhaust the disk space.

**Fix**
Disable the cache usage when installing SB
Co-authored-by: default avatarHongtao Zhang <hongtaozhang@microsoft.com>
      c99380b4
  11. 04 Dec, 2025 1 commit
  13. 17 Nov, 2025 1 commit
    • Yuting Jiang's avatar
      Benchmarks: micro benchmarks - add --set_ib_devices option to auto-select IB... · c65ae567
      Yuting Jiang authored 
      Benchmarks: micro benchmarks - add --set_ib_devices option to auto-select IB device by MPI local rank in ib validation (#733)

**Description**
add --set_ib_devices option to auto-select IB device by MPI local rank 


**Major Revision**
- Add a new CLI flag --set_ib_devices to automatically select irregular
IB devices based on the MPI local rank.
- When enabled, the benchmark queries available IB devices via
network.get_ib_devices() and selects the device corresponding to
OMPI_COMM_WORLD_LOCAL_RANK.
- Fall back to existing --ib_dev behavior when the flag is not provided.

**Minor Revision**
- Add an env in network.get_ib_devices() to allow user to set the device
name
      c65ae567
  15. 06 Nov, 2025 1 commit
  17. 05 Nov, 2025 1 commit
  19. 23 Oct, 2025 1 commit
    • Yuting Jiang's avatar
      Benchmarks: Micro benchmark - add ncu profile support in cublaslt-gemm (#740) · f6e65a98
      Yuting Jiang authored 
      **Description**
This PR adds NCU (NVIDIA Nsight Compute) profiling support to the
cublaslt-gemm micro benchmark, enabling detailed kernel analysis
including DRAM throughput, compute throughput, and launch arguments.

**Major Revision**
- Add --enable_ncu_profiling and --profiling_metrics for ncu profiling
- Modifies command execution to use NCU when profiling is enabled
- Updates result parsing to handle both standard and NCU profiled output
formats
      f6e65a98
  21. 22 Oct, 2025 2 commits
  23. 08 Oct, 2025 2 commits
  25. 01 Oct, 2025 1 commit
  27. 30 Sep, 2025 1 commit
    • Yuting Jiang's avatar
      Benchmarks: Micro benchmark - Add simultanneously all-to-host / host-to-all... · 93e9d262
      Yuting Jiang authored 
      Benchmarks: Micro benchmark - Add simultanneously all-to-host / host-to-all bandwidth testcases to nvbandwidth (#736)

**Description**
Add simultanneously all-to-host / host-to-all bandwidth testcases to
nvbandwidth .

**Major Revision**
- nvbandwidth.patch: Add simultanneously all-to-host / host-to-all
bandwidth testcases to nvbandwidth
- upgrade nvbandwidth submodule into v0.8
- add patch into makefile build
      93e9d262
  29. 29 Sep, 2025 2 commits
  31. 19 Sep, 2025 1 commit
  33. 12 Aug, 2025 1 commit
  35. 30 Jun, 2025 1 commit
  37. 26 Jun, 2025 1 commit
  39. 25 Jun, 2025 1 commit
  41. 24 Jun, 2025 1 commit
  43. 20 Jun, 2025 2 commits
    • Babak Hejazi's avatar
      Benchmark - Support autotuning in cublaslt gemm (#706) · 60b13256
      Babak Hejazi authored 
      **Description**
Enable autotuning as an opt-in mode when benchmarking cublasLt via
`cublaslt_gemm`

The implementation is based on
https://github.com/NVIDIA/CUDALibrarySamples/blob/master/cuBLASLt/LtSgemmSimpleAutoTuning/sample_cublasLt_LtSgemmSimpleAutoTuning.cu

The behavior of original benchmark command remains unchanged, e.g.:
- `cublaslt_gemm -m 2048 -n 12288 -k 1536 -w10000 -i 1000 -t fp8e4m3`

The new opt-in options are `-a` (for autotune) and `-I` (for autotune
iterations, default is 50, same as the default for `-i`) and `-W` (for
autotune warmups, default=20, same as the default for `-w`), e.g.:
- `cublaslt_gemm -m 2048 -n 12288 -k 1536 -w 10000 -i 1000 -t fp8e4m3
-a`
- `cublaslt_gemm -m 2048 -n 12288 -k 1536 -w 10000 -i 1000 -t fp8e4m3 -a
-I 10 -W 10`

**Note:** This PR also changes the default `gemm_compute_type` for BF16
and FP16 to `CUBLAS_COMPUTE_32F`.

**Further observations:** 
1. The support matrix of the `cublaslt_gemm` could be furt...
      60b13256
    • WenqingLan1's avatar
      Benchmark - Add Grace CPU support for CPU Stream (#719) · 0b8d1fd4
      WenqingLan1 authored 
      

**Description**
Added support for Grace CPU neo2 architecture in CPU Stream. Now CPU
Stream supports dual socket benchmarking.

Example config for this arch support:
```yaml
    cpu-stream:numa0:
      timeout: *default_timeout
      modes:
      - name: local
        parallel: no
      parameters:
        cpu_arch: neo2
        numa_mem_nodes: 0
        cores: 0 1 2 3 4 5 6 7 8
    cpu-stream:numa1:
      timeout: *default_timeout
      modes:
      - name: local
        parallel: no
      parameters:
        cpu_arch: neo2
        numa_mem_nodes: 1
        cores: 64 65 66 67 68 69 70 71 72
    cpu-stream:numa-spread:
      timeout: *default_timeout
      modes:
      - name: local
        parallel: no
      parameters:
        cpu_arch: neo2
        numa_mem_nodes: 0 1
        cores: 0 1 2 3 4 5 6 7 8 64 65 66 67 68 69 70 71 72
```

---------
Co-authored-by: default avatardpower4 <dilipreddi@gmail.com>
      0b8d1fd4
  45. 18 Jun, 2025 1 commit
    • WenqingLan1's avatar
      Benchmarks - Add GPU Stream Micro Benchmark (#697) · 4eddd50a
      WenqingLan1 authored 
      Added GPU Stream benchmark - measures the GPU memory bandwidth and
efficiency for double datatype through various memory operations
including copy, scale, add, and triad.
- added documentation for `gpu-stream` detailing its introduction,
metrics, and descriptions.
- added unit tests for `gpu-stream`. Example output is in
`superbenchmark/tests/data/gpu_stream.log`.
      4eddd50a
  47. 14 Jun, 2025 1 commit
    • Hongtao Zhang's avatar
      microbenchmark - CPU Stream Benchmark Revise (#712) · 991c0051
      Hongtao Zhang authored 
      

In the current implementation, the CPU‑stream benchmark code renames the
binary before the microbench base class can verify its existence,
causing the default‐binary check to fail.

This PR adds a “default” binary—built with the standard compile
parameters—so that the base class can always find and validate it. Once
the default binary is in place, the CPU‑stream code will rename it as
needed and re‑check its presence before running the benchmark.

The PR also enable CPU stream in the default settings.

---------
Co-authored-by: default avatarHongtao Zhang <hongtaozhang@microsoft.com>
      991c0051
  49. 05 Jun, 2025 1 commit
  51. 01 May, 2025 1 commit
  53. 30 Apr, 2025 1 commit
  55. 09 Apr, 2025 1 commit
  57. 21 Mar, 2025 1 commit
  59. 12 Mar, 2025 1 commit
    • Hongtao Zhang's avatar
      CI/CD - Update label in the ROCm image build (#693) · 48cd8a3c
      Hongtao Zhang authored 
      

Due to the matrix strategy’s default "fail-fast" setting. In GitHub
Actions, when running a job with a matrix, the individual configurations
run in parallel. By default, if one matrix job (for example, the one
labeled "rocm6_2_rocm6_2_x_superbe") fails, the remaining parallel jobs
are canceled automatically.

In our current build image pipeline, the arm64 build job always are
canceled by the rocm build job. So, using a non-existent label in the
job config to prevent rocm build job from scheduling for a temporary
solution.

---------
Co-authored-by: default avatarhongtaozhang <hongtaozhang@microsoft.com>
      48cd8a3c
  61. 08 Mar, 2025 1 commit
  63. 07 Mar, 2025 1 commit
  65. 04 Mar, 2025 1 commit
  67. 25 Feb, 2025 2 commits
  69. 15 Feb, 2025 1 commit