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Add gpu-hpl and gpu-hpl-mxp micro benchmarks backed by rocHPL and rocHPL-MxP.

Implemented a shared GPU HPL base that:
- Generates per-workload HPL dat files and parses the corresponding output files.
- Supports common HPL inputs such as process grid, matrix size, block size, broadcast topology, warmup, iterations, and reduce operator.
- Adds rocHPL-specific tuning parameters for gpu-hpl.
- Formats metric keys from input-derived workload attributes.
- Reports `flops`, `time`, and `tests_pass` metrics with warmup-aware aggregation.

Add benchmark registrations, parser tests, sample output fixtures, documentation, and recommended configurations for gpu-hpl and gpu-hpl-mxp.

Update rocHPL and rocHPL-MxP third-party integration with build patches, install targets, and SuperBench run helper scripts.

Also update gpu-hpcg metric naming to use flops instead of gflops, remove standalone domain/verification-style metrics from the documented metric surface, and refresh Hygon HPCG documentation/config references accordingly.

* Update mem-bw to use BandwidthTest

* Update config and format code

- Added Platform.DTK in the microbenchmark framework.
- Introduced new DTK hipblaslt benchmark class and corresponding tests.
- Updated Dockerfile to include hipblaslt-bench and its permissions.
- Registered DTK benchmarks in the benchmark registry for various performance tests.
- Enhanced GPU detection logic to recognize HYGON GPUs.

This update improves the benchmarking capabilities for DTK, ensuring compatibility and performance testing across platforms.

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`.

**Description**

Add nvbandwidth benchmark.

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

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

**Description**
add python code for DirectXGPUEncodingLatency.

**Description**
add python code for DirectXGPUCopy.

**Description**
add python code for DirecXGPUMemBw.

**Description**
add python code for DirectX core flops and init DirectX test pipeline.

**Major Revision**
- add python code for DirectX core flops 
- init DirectX test pipeline


**Minor Revision**
- add test for DirectX core flops

**Description**
This PR adds a micro-benchmark of distributed model inference workloads.

**Major Revision**
- Add a new micro-benchmark dist-inference.
- Add corresponding example and unit tests.
- Update configuration files to include this new micro-benchmark.
- Update micro-benchmark README.

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Co-authored-by: Peng Cheng <chengpeng5555@outlook.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>

**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>

Integrate cublaslt-gemm micro-benchmark #451.

**Description**
Modifications adding GPU-Burn to SuperBench.
- added third party submodule
- modified Makefile to make gpu-burn binary
- added/modified microbenchmarks to add gpu-burn python scripts
- modified default and azure_ndv4 configs to add gpu-burn

**Description**
Add mlc memory bandwidth and latency micro benchmark to Superbench.

**Major Revision**
- Add mlc benchmark with test and example files

**Description**
Add ONNXRuntime inference benchmark based on ORT python API.

**Major Revision**
- Add `ORTInferenceBenchmark` class to export pytorch model to onnx model and do inference
- Add tests and example for `ort-inference` benchmark
- Update the introduction docs.

__Description__

Add TensorRT inference benchmark for torchvision models.

__Major Revision__
- Measure TensorRT inference performance.

**Description**
Add ib traffic validation distributed benchmark.

**Major Revision**
- Add ib traffic validation distributed benchmark, example and test

**Description**
This commit does the following:
1) Adds CPU-initiated copy benchmark;
2) Adds dtod benchmark;
3) Support scanning NUMA nodes and GPUs inside the benchmark program;
4) Change the name of gpu-sm-copy to gpu-copy.

**Description**
Add gpcnet microbenchmark

**Major Revision**
- add 2 microbenmark for gpcnet, gpc-network-test, gpc-network-load-test
- add related test and example file

**Description**
Add tcp connectivity validation microbenchmark which is to validate TCP connectivity between current node and several nodes in the hostfile.

**Major Revision**
- Add tcp connectivity validation microbenchmark and related test, example

**Description**
This commit adds gpu_sm_copy benchmark and related tests.

**Description**
Add gemm flops microbenchmark for amd.

**Major Revision**
- Add gemm flops microbenchmark for amd.
- Add related example and test file.

**Description**
Extract base class for gemm flops microbenchmark.

**Major Revision**
- extract base class for gemm flops microbenchmark and add related test.
- revise gemm_flops_performance for cuda.

**Description**
Add memory bus bandwidth performance microbenchmark for amd.

**Major Revision**
- Add memory bus bandwidth performance microbenchmark for amd.
- Add related example and test file.

**Description**
extract base class for memory bandwidth microbenchmark.

**Major Revision**
- revise and optimize cuda_memory_bandwidth_performance
- extract base class for memory bandwidth microbenchmark
- add test for base class

**Description**
Add NCCL performance microbenchmark.

**Major Revision**
- Add microbenchmark, example, test, config for NCCL

**Description**
Add RDMA Loopback performance microbenchmark.

**Major Revision**
- Add microbenchmark, example, test, config for RDMA Loopback

**Description**
Add disk performance microbenchmark.

**Major Revision**
- Add microbenchmark, example, test, config for disk performance.

**Minor Revision**
- Fix bugs in executor unit test related to default enabled tests.

Add microbenchmark, example, test, config for cuda memory performance and Add cuda-samples(tag with cuda version) as git submodule and update related makefile

* add cuda flops performance benchmark.

* add python related cudnn microbenchmark

* add benchmark for cublas test

* format

* revise error handling and test

* add interface to read json file, revise json file path and include .json in packaging

* add random_seed in arguments

* revise preprocess of cublas benchmark

* fix lint error and note error in source code

* update according comments

* revise input arguments from json file to custom str and convert json file to built-in dict list

* restore package config

* fit lint issue

* update platform and comments

* rename files to match source code dir and fix comments error
Co-authored-by: root <root@sb-validation-000001.51z1chmys5fuzfqyo4niepozre.bx.internal.cloudapp.net>

* add kernel launch overhead benchmark.

* Revise MicroBenchmark class to be more flexible.
* use command index not the command as the parameter.
* changes according to discussion.

* Benchmarks: Add Benchmark - add computation and communication overlap micro benchmark

* Benchmarks: Add benchmark - fix some format issues and typo

* Benchmarks: Add Benchmark - update according comments and add test

* revise tests

* skip multi gpu test due to no multi gpu
Co-authored-by: v-yujiang <v-yujiang@microsoft.com>

Benchmarks: Add Benchmark - Add op-sharding microbenchmark, including matmul and sharding_matmul. (#36)

* add microbenchmark - sharding matmul.
* address comments.
Co-authored-by: Guoshuai Zhao <guzhao@microsoft.com>