Archive of posts tagged: Machine Learning
Picking Your Research Direction: Trade-offs You Should Consider
Modern research in computer architecture has been developed far beyond the conventional textbook topics of processor microarchitectures and memory hierarchies, now expanding to a much more diverse range of novel areas. Computer architects can explore many promising...
Coping with Copilot
CS educators: AI-based developer tools are gunning for your assignments. Resistance is futile GitHub’s AI-based Copilot tool went public this summer. It’s an amazing tool for software developers. But students armed with it will be bringing Uzis to a knife fight. Using...
The Different Facets of Large-Scale GPU Cluster Scheduling for ML Jobs
Machine Learning (ML) training is an important workload in enterprise clusters and cloud data centers today. Products like virtual assistants, chatbots, and web search which are an integral part of our life now, are empowered by the innovations in ML and AI research....
5 Guidelines for Research in ML for Systems
It was more than 10 years ago that I first started studying machine learning (ML). Serendipitously, I ended up leveraging ML techniques developed for biological sequence analysis for optimizing storage systems. In the recent past, I have focused on optimizing and...Subscribe
