Create DIY HPC clusters in the Amazon cloud with the StarCluster toolkit. Here’s how.
As processor core counts rise, MIT research suggests on-chip networks will be needed.
MIT’s Hornet simulator takes the sting out of manycore design.
Researchers mitigate multicore challenges to refine current geological simulation capabilities.
Researchers from TACC and MIT created lightweight supercomputing application for smart phone; and the tug of war over 3PAR continues, as Dell and HP both present counter-offers. We recap those stories and more in our weekly wrapup.
MIT spin-out Lyric Semiconductor Inc. has launched a new breed of integrated circuits that replaces the binary logic of traditional computing with probabilistic logic. The aim is to deliver a much more efficient architecture for applications based on probability computing. For these types of workloads, the company is promising orders-of-magnitude improvement in energy efficiency, performance and cost.
Last week we ran a feature article from Justin Riley entitled, “StarCluster Brings HPC to the Amazon Cloud” that drew significant attention from the community. The author was kind enough to send a screencast for HPC in the Cloud that provides a more thorough view of StarCluster in action.
The Software Tools for Academics and Researchers (STAR) group at MIT has created an open-source project called StarCluster that allows anyone to create HPC clusters on Amazon’s Elastic Compute Cloud (EC2) without needing to be a cloud expert.
MIT researcher looks to GPGPUs to reverse engineer brain’s object recognition process.
New project at MIT aims to reinvent AI.