by Emery Berger and Ben Zorn on Apr 23, 2024 | Tags: Computer Systems, deep neural networks, Machine Learning, Programming
A Tale of Two Softwares: In a world where AI is revolutionizing the way we interact with technology, a new type of software emerges: AI Software (AISW). But with great power comes great responsibility, and the systems research community must rise to the challenge of ensuring AISW is as robust, secure, and safe as its predecessor, Plain Old Software (POSW).
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by Siddharth Garg, Brian Hirano, Jenny Huang, Yingyan (Celine) Lin, Vijay Janapa Reddi, Tushar Krishna, Srivatsan Krishnan, Benjamin Lee, Jason Lowe-Power, Martin Maas, Shvetank Prakash, Matthew D. Sinclair, Srinivas Sridharan, Amir Yazdanbakhsh, Jason Yik, Cliff Young on Dec 20, 2023 | Tags: Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
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by Thaleia Dimitra Doudali on Nov 27, 2023 | Tags: Cloud computing, Forecasting, Machine Learning, Resource Management
How many times have you tried setting up a virtual machine, container pods or serveless functions in the cloud and wondered how many resources (cores, memory etc.) to configure? In practice, users request more resources than actually end up using. This is a known...
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by Vijay Janapa Reddi and Amir Yazdanbakhsh on Jun 14, 2023 | Tags: Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
Machine learning driven computer architecture tools and methods have the potential to drastically shape the future of computer architecture. The question is: how can we lay the foundation to effectively usher in this era? In this post, we delve into the transformative...
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by Neeraja Yadwadkar on Jun 9, 2023 | Tags: datacenter, Datacenters, deep learning, deep neural networks, Machine Learning, Systems
Implications of Machine Learning (ML), be the training or inference serving, have steered systems and architecture research accordingly. A significant amount of work is happening in the Systems for ML space ranging from building efficient systems for data...
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