Archive of posts tagged: Systems
Wetware-in-the-loop Visual Computing Systems
René Descartes, inspired by anatomical observations of nerve fibers, suggested in his monumental work Principles of Philosophy that (in modern terms) visual stimuli of the external world are captured and transmitted as fluids traveling through nerve fibers, leading to...
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....
The Time is Ripe for Disaggregated Systems
Despite being hidden from the end user, datacenters are ubiquitous in today’s life. Massive datacenter installations are the driving force behind social networking, search, streaming services, e-commerce, cloud, and the gig economy. Today’s datacenters are as...
An Academic’s Attempt to Clear the Fog of the Machine Learning Accelerator War
At its core, all engineering is science optimized (or perverted) by economics. As academics in computer science and engineering, we have a symbiotic relationship with industry. Still, it is often necessary for us to peel back the marketing noise and understand...Subscribe
