GitLab

Enhance parameter parsing to support string like `"--arg1 value --arg2 'a long string with spaces'"`.

Enable ib latency test in ib traffic validation distributed benchmark

As Perftest supports CUDA only in BW tests (Refer [perftest source code](https://github.com/linux-rdma/perftest/blob/23f7f8a56892bd9e00b6a4e8bd4bbfdbe122af47/src/perftest_parameters.c#L1652))
Remove `--use_cuda` option from cmd prefix if the test command is bw related

* Support topo-aware IB performance validation

Add a new pattern `topo-aware`, so the user can run IB performance
test based on VM's topology information. This way, the user can
validate the IB performance across VM pairs with different distance
as a quick test instead of pair-wise test.

To run with topo-aware pattern, user needs to specify three required
(and two optional) parameters in YAML config file:
--pattern	topo-aware
--ibstat	path to ibstat output
--ibnetdiscover	path to ibnetdiscover output
--min_dist	minimum distance of VM pairs (optional, default 2)
--max_dist	maximum distance of VM pairs (optional, default 6)

The newly added topo_aware module then parses the topology
information, builds a graph, and generates the VM pairs with
the specified distance (# hops).

The specified IB test will then be running across these
generated VM pairs.
Signed-off-by: Jie Zhang <jessezhang1010@gmail.com>

* Add description about topology aware ib traffic tests
Signed-off-by: Jie Zhang <jessezhang1010@gmail.com>

* Add unit test to verify generated topology aware config file

This commit adds unit test to verify the generated topology aware
config file is correct. To do so, four new data files are added in
order to invoke gen_topo_aware_config function to generate topology
aware config file, then compares it with the expected config file.
Signed-off-by: Jie Zhang <jessezhang1010@gmail.com>

* Fix lint issue on Azure pipeline
Signed-off-by: Jie Zhang <jessezhang1010@gmail.com>

Fix an unexpected result value (`-0.125`) issue in ib traffic benchmark when encountering `-1` in raw output
* Check if the value is valid before the base conversion
* Add a test case to cover this situation

Fix potential port conflict due to race condition between time-to-check
to time-to-use, by binding the port all through.

Modify the function to resolve flake8 C901 while keeping the logic same.

Fix several issues in ib validation benchmark:
* continue running when timeout in the middle, instead of aborting whole mpi process
* make timeout parameter configurable, set default to 120 seconds
* avoid mixture of stdio and iostream when print to stdout
* set default message size to 8M which will saturate ib in most cases
* fix hostfile path issue so that it can be auto found in different cases

Fix several issues in ib loopback benchmark:
* use `--report_gbits` and divide by 8 to get GB/s, previous results are
  MiB/s / 1000
* use the ib_write_bw binary built in third_party instead of system path
* update the metrics name so that different hca indices have same metric

**Description**

Support multiple IB/GPU devices run simultaneously in ib validation benchmark.

**Major Revisions**
- Revise ib_validation_performance.cc so that multiple processes per node could be used to launch multiple perftest commands simultaneously. For each node pair in the config, number of processes per node will run in parallel.
- Revise ib_validation_performance.py to correct file paths and adjust parameters to specify different NICs/GPUs/NUMA nodes.
- Fix env issues in Dockerfile for end-to-end test.
- Update ib-traffic configuration examples in config files.
- Update unit tests and docs accordingly.

Closes #326.

**Description**
Use config `log_raw_data` to control whether log the raw data into file or not. The default value is `no`. We can set it as `yes` for some particular benchmarks to save the raw data into file, such as NCCL/RCCL test.

**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

This commit makes data checking in gpu_copy optional, because it will take too long time if message size is large.

**Description**
This commit does the following to optimize result variance in gpu_copy benchmark:
1) Add warmup phase for gpu_copy benchmark to avoid timing instability caused by first-time CUDA kernel launch overhead;
2) Use CUDA events for timing instead of CPU timestamps;
3) Make data checking an option that is not preferred to be enabled in performance test;
4) Enlarge message size in performance benchmark.

Support T4 and A10 in GEMM benchmark.

**Description**
This commit adds bidirectional tests in gpu_copy benchmark for both device-host transfer and device-device transfer, and revises related tests.

**Description**
Add 50th, 90th, 95th, 99th, 99.9th latency metrics for ORT and pytorch inference benchmarks.

__Description__

Cherry-pick  bug fixes from v0.4.0 to main.

__Major Revisions__

* Bug - Fix issues for Ansible and benchmarks (#267)
* Tests - Refine test cases for microbenchmark (#268)
* Bug - Build openmpi with ucx support in rocm dockerfiles (#269)
* Benchmarks: Fix Bug - Fix fio build issue (#272)
* Docs - Unify metric and add doc for cublas and cudnn functions (#271)
* Monitor: Revision - Add 'monitor/' prefix to monitor metrics in result summary (#274)
* Bug - Fix bug of detecting if gpu_index is none (#275)
* Bug - Fix bugs in data diagnosis (#273)
* Bug - Fix issue that the root mpi rank may not be the first in the hostfile (#270)
* Benchmarks: Configuration - Update inference and network benchmarks in configs (#276)
* Docs - Upgrade version and release note (#277)
Co-authored-by: Yuting Jiang <v-yutjiang@microsoft.com>

Add transformers for TensorRT inference.

**Description**
Add benchmark metrics for cpu-memory-bw-latency.

**Description**
Benchmarks: Fix Comment - Correct benchmark name in test_gpu_copy_bw_performance.py.

**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**
Unify metric names of benchmarks.

**Description**
Add return_code metric into result and revise unit tests.

**Description**
Rename `nvidia_helper` utility as `device_manager` module and support more functions:
```
device_manager.get_device_count()
device_manager.get_device_utilization(idx)
device_manager.get_device_temperature(idx)
device_manager.get_device_power_limit(idx)
device_manager.get_device_memory(idx)
device_manager.get_device_row_remapped_info(idx)
device_manager.get_device_ecc_error(idx)
```

__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

Benchmarks: Code Revision - Revise arguments of nccl/rccl to support mpi mode and rename metric (#189)

**Description**
Revise arguments of nccl/rccl to support mpi mode for (mpi can not run in nccl/rccl due to multiple operators run in sequence without barrier) and rename metric .

**Major Revision**
- revise argument operators to be a single one

**Minor Revision**
- rename metric to remove benchmark name info
- change argument ngpus default value to be 1

Benchmarks: Code Revision - Revise metric name generation and default config for disk performance benchmark (#175)

**Description**
This commit revises disk performance benchmark, including:
1) Add missing benchmark name in default config;
2) Avoid using reserved character ':' in metric name.

**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**
Rename `kernel_launch_overhead_event` to `event_overhead`, `kernel_launch_overhead_wall` to `wall_overhead`.

**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**
 fix typo in test_nccl_bw_performance.py.

**Major Revision**
-  fix typo in test_nccl_bw_performance.py.

**Description**
This commit adds readwrite I/O pattern for FIO benchmark. Read/write ratio is fixed at 4:1.

**Description**
Add NCCL performance microbenchmark.

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