Empowering Researchers with the Kempner Computing Handbook
New resource from the Kempner Institute helps researchers gain AI/ML skills and make the most of high-performance computing
The Kempner Computing Handbook offers expert guidance for anyone interested in honing their skills in AI/ML or high performance computing.
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Looking for expert guidance on computational research or optimizing your use of high-performance computing? If so, look no further than the Kempner Computing Handbook, a publicly-available online resource offering guidance for anyone interested in honing their skills in AI/ML and high-performance computing.
“This handbook is a one-stop-shop with high-quality content for anyone eager to keep up with the latest innovations and best practices in AI/ML, NeuroAI, and high performance computing,” says Kempner Senior Director of AI/ML Research Engineering Max Shad.
Regularly updated to keep pace with developments in AI/ML, the handbook includes information on a range of topics including mathematical foundations of parallel processing in neural networks, high-performance computing, distributed training & inference, best practices for efficient coding, and tips for working with graphics processing units (GPUs) on the Kempner AI cluster.
“We want to ensure our community can make the most of our HPC resources,” says Naeem Khoshnevis, Senior ML Research Engineer, who co-leads the handbook. “The handbook is dynamic. We accept feedback from everyone – people can submit contributions at any time – so the handbook is constantly shifting and growing over time to adapt to the changes in the computing infrastructure and needs of the community.”
The open-source nature of the handbook allows for researchers to share their insights and contribute content, thereby offering tools for others to use, and leading to faster and more efficient research. A key element of the handbook is the Open Source Hub, which catalogs Kempner’s open-source contributions across various domains, including AI, NeuroAI, research software engineering, AI cluster, high-performance computing, and cloud computing.
“To run a spike sorting tool, for example, it would be very helpful if you know how to run it, in large scale, on our AI cluster,” explains Houman Safaai, Senior ML Research Scientist, and co-lead of the handbook. “This handbook offers that information, and saves a lot of time for researchers. Too often, publicly-available online resources prove to be fragmentary, difficult to find, and of varying quality. We wanted to create an expertly-curated resource that brings all the information together in one place, and decreases any informational barriers for researchers undertaking computational research and using high-performance computing resources.”
About the Kempner Institute
The Kempner Institute seeks to understand the basis of intelligence in natural and artificial systems by recruiting and training future generations of researchers to study intelligence from biological, cognitive, engineering, and computational perspectives. Its bold premise is that the fields of natural and artificial intelligence are intimately interconnected; the next generation of artificial intelligence (AI) will require the same principles that our brains use for fast, flexible natural reasoning, and understanding how our brains compute and reason can be elucidated by theories developed for AI. Join the Kempner mailing list to learn more, and to receive updates and news.
PRESS CONTACT:
Deborah Apsel Lang | (617) 495-7993
