SiFive Accelerates Chip Design with Cloud Tools

Chip designers are drawing on new cloud resources along with conventional electronic design automation (EDA) tools to accelerate IC templates from tape-out to custom silicon.

Among the challen

By George Leopold

Reflections from a SCinet Student Volunteer

Last week, a notification on my phone said SC20 was ready for submissions and it reminded me of my awesome experience as a SCinet student volunteer at SC19 held in Denver, Colorado, a few months

By Sushma Yellapragada

Codeplay Open Sources a Version of DPC++ for Nvidia GPUs

Writing software to run efficiently on today’s heterogeneous compute architectures is an ongoing challenge made increasingly difficult by the growing number of processor and accelerator choices

By John Russell

Blasts from the (Recent) Past and Hopes for the Future

What does 2020 look like to you? What did 2019 look like? Lots happened but the main trends were carryovers from 2018 – AI messaging again blanketed everything; the roll-out of new big machines

By John Russell

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ARPA-E Applies ML to Power Generation Designs

December 19, 2019

The U.S. Energy Department’s research arm is leveraging machine learning technologies to simplify the design process for energy systems ranging from photovolt Read more…

By George Leopold

MLPerf Expands Toolset; Launches Inferencing Suite

June 24, 2019

MLPerf today launched a benchmark suite for inferencing, v0.5, which joins the MLPerf training suite launched a little over a year ago. The new inferencing benc Read more…

By John Russell

Jack Wells Joins OpenACC; Arm Support Coming

June 17, 2019

Perhaps the most significant ISC19 news for OpenACC wasn’t in its official press release yesterday which touted growing user traction and the notable addition Read more…

By John Russell

Qualcomm Invests in RISC-V Startup SiFive

June 7, 2019

Investors are zeroing in on the open standard RISC-V instruction set architecture and the processor intellectual property being developed by a batch of high-flying chip startups. Last fall, Esperanto Technologies announced a $58 million funding round. Read more…

By George Leopold

Digging into MLPerf Benchmark Suite to Inform AI Infrastructure Decisions

April 9, 2019

With machine learning and deep learning storming into the datacenter, the new challenge is optimizing infrastructure choices to support diverse ML and DL workfl Read more…

By John Russell

DARPA, NSF Seek Real-Time ML Processor

March 18, 2019

A new U.S. research initiative seeks to develop a processor capable of real-time learning while operating with the “efficiency of the human brain.” The National Science Foundation (NSF) and the Defense Advanced Research Projects Agency jointly announced a “Real Time Machine Learning” project on March 15 soliciting industry proposals for “foundational breakthroughs” in hardware required to “build systems that respond and adapt in real time.” Read more…

By George Leopold

HPC in Life Sciences Part 2: Penetrating AI’s Hype and the Cloud’s Haze

February 25, 2019

Weary of the constant din of AI hype. So is Ari Berman, vice president and general manager of consulting services for BioTeam, a research computing consultancy specializing in life sciences. “Every vendor is selling AI. I think it has become the gluten-free tag of life sciences because it is everywhere.... Read more…

By John Russell

Democratizing HPC: OSC Releases Version 1.3 of OnDemand

May 16, 2018

Making HPC resources readily available and easier to use for scientists who may have less HPC expertise is an ongoing challenge. Open OnDemand is a project by t Read more…

By John Russell

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