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Purdue Researchers Peer into the ‘Fog of the Machine Learning Accelerator War’

Making sense of ML performance and benchmark data is an ongoing challenge. In light of last week’s release of the most recent MLPerf (v1.1) inference results, now is perhaps a good time to revi

By John Russell

Qubit Stream: Monte Carlo Advance, Infosys Joins the Fray, D-Wave Meeting Plans, and More

It seems the stream of quantum computing reports never ceases. This week – IonQ and Goldman Sachs tackle Monte Carlo on quantum hardware, Cambridge Quantum pushes chemistry calculations forward

By John Russell

The Latest MLPerf Inference Results: Nvidia GPUs Hold Sway but Here Come CPUs and Intel

The latest round of MLPerf inference benchmark (v 1.1) results was released today and Nvidia again dominated, sweeping the top spots in the closed (apples-to-apples) datacenter and edge categorie

By John Russell

AI Hardware Summit: Panel on Memory Looks Forward

What will system memory look like in five years? Good question. While Monday's panel, Designing AI Super-Chips at the Speed of Memory, at the AI Hardware Summit, tackled several topics, the panel

By John Russell

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Hot Chips: Here Come the DPUs and IPUs from Arm, Nvidia and Intel

August 25, 2021

The emergence of data processing units (DPU) and infrastructure processing units (IPU) as potentially important pieces in cloud and datacenter architectures was Read more…

Zapata Computing’s Formula for Achieving Quantum Advantage Today

August 16, 2021

While most of the quantum computing world is focused on achieving fault tolerant computing – some day – with intermediate applications for NISQ (near interm Read more…

Intel Completes LLVM Adoption; Will End Updates to Classic C/C++ Compilers in Future

August 10, 2021

Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more…

The Promise (and Necessity) of Runtime Systems like Charm++ in Exascale Power Management

August 4, 2021

Big heterogeneous computer systems, especially forthcoming exascale computers, are power hungry and difficult to program effectively. This is, of course, not an Read more…

What’s After Exascale? The Internet of Workflows Says HPE’s Nicolas Dubé

July 29, 2021

With the race to exascale computing in its final leg, it’s natural to wonder what the Post Exascale Era will look like. Nicolas Dubé, VP and chief technologist for HPE’s HPC business unit, agrees and shared his vision at Supercomputing Frontiers Europe 2021 held last week. The next big thing, he told the virtual audience at SFE21, is something that will connect HPC and (broadly) all of IT – into what Dubé calls The Internet of Workflows. Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

ISC 2021 Keynote: Thomas Sterling on Urgent Computing, Big Machines, China Speculation

July 1, 2021

In a somewhat shortened version of his annual ISC keynote surveying the HPC landscape Thomas Sterling, lauded the community’s effort in bringing HPC to bear in the fight against the pandemic, welcomed the start of the exascale – if not yet exaflops – era with quick tour of some big machines, speculated a little on what China may be planning, and paid tribute to new and ongoing efforts to bring fresh talent into HPC. Sterling is a longtime HPC leader... Read more…

Latest MLPerf Results: Nvidia Shines but Intel, Graphcore, Google Increase Their Presence

June 30, 2021

While Nvidia (again) dominated the latest round of MLPerf training benchmark results, the range of participants expanded. Notably, Google’s forthcoming TPU v4 Read more…

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