Summary of Introducing Milabench: Benchmarking Accelerators For Ai, by Pierre Delaunay et al.
Introducing Milabench: Benchmarking Accelerators for AI
by Pierre Delaunay, Xavier Bouthillier, Olivier Breuleux, Satya Ortiz-Gagné, Olexa Bilaniuk, Fabrice Normandin, Arnaud Bergeron, Bruno Carrez, Guillaume Alain, Soline Blanc, Frédéric Osterrath, Joseph Viviano, Roger Creus-Castanyer Darshan Patil, Rabiul Awal, Le Zhang
First submitted to arxiv on: 18 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel benchmarking suite, Milabench, is introduced for deep learning workloads on high-performance computing (HPC) systems. This custom suite addresses the diverse requirements of over 1,000 researchers at Mila, a leading academic research center focused on deep learning. The design was informed by an extensive literature review and surveys with researchers. The benchmarking suite consists of 26 primary benchmarks for procurement evaluations and 16 optional benchmarks for in-depth analysis. Performance evaluations are provided using GPUs from NVIDIA, AMD, and Intel. This open-source suite is available at this http URL. The development of Milabench aims to capture the unique usage patterns of AI workloads, which are not comprehensively captured by standard HPC benchmarks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI researchers have created a new way to test how well computers can handle big data and complex calculations. They made this tool called Milabench to help compare different types of computer chips (like those from NVIDIA, AMD, or Intel) in processing tasks like image recognition and natural language processing. To make sure the tool was useful for many different types of research, they looked at lots of old papers on the topic and asked questions to people who do similar work. They then chose 26 specific tests that computers can take to show how well they handle certain tasks. The test results show which computer chip does a better job at doing these tasks. Now anyone can use this free tool to compare different computer chips. |
Keywords
* Artificial intelligence * Deep learning * Natural language processing
