GitLab

## Summary
- Upgrade Intel Memory Latency Checker from v3.11 to v3.12 in
rocm5.0.x.dockerfile
- Aligns with other dockerfiles that already use v3.12
Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>

**Description**

- When building the CUDA 11.1.1 image, pip (Python 3.8) cannot find a
pre-built wheel for the latest wandb release (v0.23.1). As a result, pip
attempts to build wandb from source. However, the build fails because
the image does not have Go installed, which is required for building
wandb from source. Then the error appears.

**Solution**

- For the CUDA 11.1.1 build, install the required build tools (e.g., Go,
Rust, and Cargo) needed for wandb.

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Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

Updated mlc wget link in dockerfiles.

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Co-authored-by: guoshzhao <guzhao@microsoft.com>

Add support for cuda13.0.
Add cuda13.0.dockerfile.
Add cuda13.0 image building task to github pipeline.
Update GPU STREAM to work with cuda13.0.
Fix data type conversion perf bug in GPU stream.
Update nvbandwidth submodule to be v0.8.
Update perftest submodule to be 4bee61f80d9e268fc97eaf40be00409e91d3a19e
(recent master).

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Co-authored-by: Ubuntu <dilipreddi@gmail.com>
Co-authored-by: guoshzhao <guzhao@microsoft.com>

**Description**
Add cuda 12.9 dockerfile and build in pipeline.

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Co-authored-by: Guoshuai Zhao <microsoft@microsoft.com>
Co-authored-by: Hongtao Zhang <hongtaozhang@microsoft.com>
Co-authored-by: Hongtao Zhang <garyworkzht@gmail.com>

- Upgrade OS of github runner used by lint to the latest.
- Add symbolic link for clang-format to version 14.
- Update importlib_metadata version since it is too old (inside
nvcr.io/nvidia/pytorch:20.12-py3) and failed the 11.1 build.

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Co-authored-by: hongtaozhang <hongtaozhang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

**Description**
Updated docker for 12.8
Use cutlass latest relase 3.8 with ARCH 100(blackwell) support
add latest nccl-test release with ARCH 100(blackwell) 
Updated msccl to support build for sm_100
No breaking changes, so backward compatible tested with  cuda 12.4

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Co-authored-by: Hongtao Zhang <garyworkzht@gmail.com>

**Description**
Add nvbandwidth build to repo

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Co-authored-by: hongtaozhang <hongtaozhang@microsoft.com>

Add support for arm64 build:

- Updated dockerfile for arm64 build
- extend cpu stream compilation for neoverse 
- handle onnxruntime-gpu installation
- third party builds filtering based on arch
- disable cuda decode perf build for non x86

**Description**
Cherry pick bug fixes from v0.11.0 to main

**Major Revision**
* #645 
* #648 
* #646 
* #647 
* #651 
* #652 
* #650

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Co-authored-by: hongtaozhang <hongtaozhang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

Add 10-hpcx.sh to /etc/profile.d
Update the Docker exec command to ensure a persistent HPCX environment.

**Description**
Fix MSCCL build error in CUDA12.4 docker build pipeline due to OOM
issue.

**Description**
Add CUDA 12.4 dockerfile.

**Major Revision**
- upgrade nvidia docker into 23.04


**Minor Revision**
- upgrade hpcx into 2.18

**Description**
Upgrade mlc to v3.11.

**Description**
Cuda 12.2 image will report undfined symbol error due to incomplete
LD_LIBRARY_PATH:


![image](https://github.com/microsoft/superbenchmark/assets/25875482/1a7c48c7-cb6b-4e3a-abbe-dde23007a96b)

### How to reproduce:
1. Deploy sb with cuda12.2 image
```
sb deploy -f local.ini -i superbench/superbench:v0.10.0-cuda12.2
```
2. Enter to the container
```
sudo docker exec -it sb-workspace bash
```
3. Execute `mpirun`:
```
root@sb-container:~# mpirun
mpirun: symbol lookup error: mpirun: undefined symbol: opal_libevent2022_event_base_loop
```
### Fix to fix
* Append hpcx_load into /etc/bash.bashrc for updaing env LD_LIBRARY_PATH in each time

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**Description**

Cherry-pick bug fixes from v0.10.0 to main.

**Major Revisions**

* Benchmarks: Microbenchmark - Support different hipblasLt data types in dist_inference #590
* Benchmarks: Microbenchmark - Support in-place for NCCL/RCCL benchmark #591
* Bug Fix - Fix NUMA Domains Swap Issue in NDv4 Topology File #592
* Benchmarks: Microbenchmark - Add data type option for NCCL and RCCL tests #595
* Benchmarks: Bug Fix - Make metrics of dist-inference-cpp aligned with PyTorch version #596
* CI/CD - Add ndv5 topo file #597
* Benchmarks: Microbenchmark - Improve AMD GPU P2P performance with fine-grained GPU memory #593
* Benchmarks: Build Pipeline - fix nccl and nccl test version to 2.18.3 to resolve hang issue in cuda12.2 docker #599
* Dockerfile - Bug fix for rocm docker build and deploy #598
* Benchmarks: Microbenchmark - Adapt to hipblasLt data type changes #603
* Benchmarks: Micro benchmarks - Update hipblaslt metric unit to tflops #604
* Monitor - U...

**Description**
upgrade to rocm5.7 dockerfile.

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Co-authored-by: yukirora <yuting.jiang@microsoft.com>

**Description**
Add MSCCL support for Nvidia GPU

**Description**
Megatron-LM/Megatron-Deepspeed GPT pretrain benchmark

Upgrade Docker image to CUDA 12.2 for H100:
* upgrade base image to 23.10
* fix onnxruntime version in python3.10
* fix compilation errors

**Description**
hipblaslt function benchmark and rebase cublaslt function benchmark.

**Description**
Generate baseline given results from multiple nodes. 

**Major Revision**
- Add sub command `sb result generate-baseline`
- Add UT and docs

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Co-authored-by: 454314380 <454314380@qq.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>

**Description**
Update mlc version into 3.10 for cuda and rocm dockerfiles to be
consistent with cuda12 dockerfile
Co-authored-by: yukirora <yuting.jiang@microsoft.com>

**Description**
source code for evaluating NVDEC decoding performance.

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Co-authored-by: yukirora <yuting.jiang@microsoft.com>

**Description**
add python code for DirectXGPUEncodingLatency.

**Description**
add AMF in third party and build AMF encoding latency test.

**Description**
Add dockerfile for win10 and building script for directx_benchmarks.

**Major Revision**
- Add docker file for win10 and required scripts to install the
dependency
- Add building script to build all directx vs benchmarks
- Add call of building script in Makefile

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Co-authored-by: yukirora <yuting.jiang@microsoft.com>
Co-authored-by: Yifan Xiong <yifan.xiong@microsoft.com>

**Description**

Cherry-pick bug fixes from v0.8.0 to main.

**Major Revisions**

* Monitor - Fix the cgroup version checking logic (#502)
* Benchmark - Fix matrix size overflow issue in cuBLASLt GEMM (#503)
* Fix wrong torch usage in communication wrapper for Distributed
Inference Benchmark (#505)
* Analyzer: Fix bug in python3.8 due to pandas api change (#504)
* Bug - Fix bug to get metric from cmd when error happens (#506)
* Monitor - Collect realtime GPU power when benchmarking (#507)
* Add num_workers argument in model benchmark (#511)
* Remove unreachable condition when write host list (#512)
* Update cuda11.8 image to cuda12.1 based on nvcr23.03 (#513)
* Doc - Fix wrong unit of cpu-memory-bw-latency in doc (#515)
* Docs - Upgrade version and release note (#508)
Co-authored-by: guoshzhao <guzhao@microsoft.com>
Co-authored-by: Ziyue Yang <ziyyang@microsoft.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>

**Description**

- Adding HPL benchmark

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Co-authored-by: Ubuntu <azureuser@sbtestvm.jzlku1oskncengjiado35wf1hd.ax.internal.cloudapp.net>
Co-authored-by: Peng Cheng <chengpeng5555@outlook.com>

Pin setuptools version to
[v65.7.0](https://setuptools.pypa.io/en/latest/history.html#v65-7-0) to
avoid breaking changes since v66.0.0.

**Description**

- Added stream benchmark
- Added stream unit test
- Added stream example
- Modified docker files to build stream

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Co-authored-by: Ubuntu <azureuser@sbtestvm.jzlku1oskncengjiado35wf1hd.ax.internal.cloudapp.net>
Co-authored-by: Peng Cheng <chengpeng5555@outlook.com>
Co-authored-by: Yifan Xiong <xiongyf@yandex.com>

**Description**
The commit(e08b6d3a) installs a rccl
version which is causing "undefined symbol: ncclGetLastError" while
trying to import torch. Revert it to avoid the error.

Add Docker image for arch90 NVIDIA GPUs:

* add CUDA11.8 Dockerfile
* update archs in Makefile and benchmarks accordingly
* update image build pipeline

Update version to include revision hash and date in "{last tag}+g{git
hash}.d{date}" format, here're the examples:
* exact tag: 0.6.0
* commit after tag: 0.6.0+gcbb1b34
* commit after tag with local changes: 0.6.0+gcbb1b34.d20221028

**Description**

Cherry-pick bug fixes from v0.6.0 to main.

**Major Revisions**

* Enable latency test in ib traffic validation distributed benchmark (#396)
* Enhance parameter parsing to allow spaces in value (#397)
* Update apt packages in dockerfile (#398)
* Upgrade colorlog for NO_COLOR support (#404)
* Analyzer - Update error handling to support exit code of sb result diagnosis (#403)
* Analyzer - Make baseline file optional in data diagnosis and fix bugs (#399)
* Enhance timeout cleanup to avoid possible hanging (#405)
* Auto generate ibstat file by pssh (#402)
* Analyzer - Format int type and unify empty value to N/A in diagnosis output file (#406)
* Docs - Upgrade version and release note (#407)
* Docs - Fix issues in document (#408)
Co-authored-by: Yang Wang <yangwang1@microsoft.com>
Co-authored-by: Yuting Jiang <yutingjiang@microsoft.com>

__Description__

Update Python setup for require packages.

__Major Revisions__
* downgrade requests version to be compatible with python 3.6, add corresponding pipeline for 3.6
* add extra entry in extras_require for nested packages
* update `pip install` contents accordingly

An enhancement for topo-aware IB performance validation #373.
This PR will auto-generate a required ibstate file `ib_traffic_topo_aware_ibstat.txt` which is used as input to build a graph.

Add dependencies

* include ndv4-topo.xml in cuda docker images
* require requests version to avoid RequestsDependencyWarning

Update dependencies and Dockerfile:
* upgrade nccl-tests and rccl-tests to current latest version to match
  NCCL/RCCL versions
* unify image tag names on DockerHub
* remove verbose output in Dockerfile and minor fix some flags

Fix incorrect ulimit nofile config in Dockerfile.

Instead of bash, sh is used by default where `echo` does not accept any parameters and `-e` is written into /etc/security/limits.conf.