2023-04-14-release-0-8.md

---
slug: release-sb-v0.8
title: Releasing SuperBench v0.8
author: Peng Cheng
author_title: SuperBench Team
author_url: https://github.com/cp5555
author_image_url: https://github.com/cp5555.png
tags: [superbench, announcement, release]
---

We are very happy to announce that **SuperBench 0.8.0 version** is officially released today!

You can install and try superbench by following [Getting Started Tutorial](https://microsoft.github.io/superbenchmark/docs/getting-started/installation).

## SuperBench 0.8.0 Release Notes

### SuperBench Improvements

- Support SuperBench Executor running on Windows.
- Remove fixed rccl version in rocm5.1.x docker file.
- Upgrade networkx version to fix installation compatibility issue.
- Pin setuptools version to v65.7.0.
- Limit ansible_runner version for Python 3.6.
- Support cgroup V2 when read system metrics in monitor.
- Fix analyzer bug in Python 3.8 due to pandas api change.
- Collect real-time GPU power in monitor.
- Remove unreachable condition when write host list in mpi mode.
- Upgrade Docker image with cuda12.1, nccl 2.17.1-1, hpcx v2.14, and mlc 3.10.
- Fix wrong unit of cpu-memory-bw-latency in document.

### Micro-benchmark Improvements

- Add STREAM benchmark for sustainable memory bandwidth and the corresponding computation rate.
- Add HPL Benchmark for HPC Linpack Benchmark.
- Support flexible warmup and non-random data initialization in cublas-benchmark.
- Support error tolerance in micro-benchmark for CuDNN function.
- Add distributed inference benchmark.
- Support tensor core precisions (e.g., FP8) and batch/shape range in cublaslt gemm.

### Model Benchmark Improvements

- Fix torch.dist init issue with multiple models.
- Support TE FP8 in BERT/GPT2 model.
- Add num_workers configurations in model benchmark.