Xilinx Announces First Adaptive Computing Challenge

A new contest is challenging the computing world. Xilinx has announced the first Xilinx Adaptive Computing Challenge, a competition that will task developers and startups with finding creative wo

By Staff report

Hoefler’s Whirlwind ISC20 Virtual Tour of ML Trends in 9 Slides

The ISC20 experience this year via livestreaming and pre-recordings is interesting and perhaps a bit odd. That said presenters’ efforts to condense their comments makes for economic use of your

By John Russell

Intel Launches Stratix 10 NX FPGAs Targeting AI Workloads

Intel today introduced its first AI-optimized FPGA – the Stratix 10 NX – which features expanded AI Tensor blocks (30 multipliers and 30 accumulators), integrated HBM memory, and high bandwid

By John Russell

HPC in Life Sciences 2020 Part 2: Setting the Stage for AI’s Opening Act

The rise of AI – machine and deep learning – in life sciences has stirred the same excitement and same ‘fits-and-starts’ reality as elsewhere. Today, AI is mostly used in two areas: 1) em

By John Russell

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HPC in Life Sciences 2020 Part 1: Rise of AMD, Data Management’s Wild West, More 

May 20, 2020

Given the disruption caused by the COVID-19 pandemic and the massive enlistment of major HPC resources to fight the pandemic, it is especially appropriate to re Read more…

By John Russell

Quantum Bits: Atos Delivers Simulator, Long-lived Ion Qubit, NSF Workshop Results

May 19, 2020

It never seems quiet in the quantum (computing) world. Atos today delivered what it’s calling “the highest performing” quantum simulator available – the Read more…

By John Russell

15 Slides on Programming Aurora and Exascale Systems

May 7, 2020

Sometime in 2021, Aurora, the first planned U.S. exascale system, is scheduled to be fired up at Argonne National Laboratory. Cray (now HPE) and Intel are the k Read more…

By John Russell

IBM Quantum Celebrates Milestone with a Contest to Pump Up Momentum

April 29, 2020

Four years ago IBM made the first quantum computer available via the cloud. It was the start of what remains a rather astounding initiative that has only gotten stronger. Today IBM’s quantum network has around 250,000 users, a fleet of 18 cloud-based quantum systems, more than 100 clients for its IBM Q Network, and IBM has begun a legitimate... Read more…

By John Russell

ECP Milestone Report Details Progress and Directions

April 1, 2020

The Exascale Computing Project (ECP) milestone report issued last week presents a good snapshot of progress in preparing applications for exascale computing. Th Read more…

By John Russell

Conversation: ANL’s Rick Stevens on DoE’s AI for Science Project

March 23, 2020

With release of the Department of Energy’s AI for Science report in late February, the effort to build a national AI program, modeled loosely on the U.S. Exascale Initiative, enters a new phase. Project leaders have already had early discussions with Congress... Read more…

By John Russell

ORNL’s Raphael Pooser on DoE’s Quantum Testbed Project

March 11, 2020

Quantum computing and quantum information science generally are areas of aggressive research at the Department of Energy. Their promise, of course, is tantalizi Read more…

By John Russell

Principles and Practice of Scalable Systems (PPoSS): NSF Looks to Scale HPC, Distributed Apps

March 2, 2020

A new National Science Foundation initiative aims to develop a framework for advancing the next generation of scalable systems and applications, including HPC platforms. The nearly $90 million program, Principles and Practice of Scalable Systems (PPoSS), will over the next decade focus on scaling systems and applications. Among the challenges is keeping pace with emerging AI and... Read more…

By George Leopold

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Whitepaper

A Picture is Worth a Thousand Terabytes: Image Generators in Life Sciences

Next-generation imaging technologies are producing a wealth of rich data to advance Life Sciences research. Artificial intelligence and machine learning can help researchers quickly derive insights from such data. However, many organizations do not have the infrastructures to handle the combination of enormous imaging data volumes and demanding analysis compute requirements.

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In this webinar, Martijn de Vries, CTO at Bright Computing and Robert Stober, Director of Product Management at Bright Computing, discuss the convergence of HPC and AI in the context of current industry trends and practices being used by organizations. They will discuss and demonstrate the convergence of HPC and AI on a shared infrastructure using Bright auto-scaler to enable efficient use of compute resources based on workload demand and policies, and also cover how to extend HPC/A.I. infrastructure to edge locations. Don’t miss out on this opportunity to gain valuable insight into innovative ways HPC and AI are being used together today.

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In this SpotlightON we take a look at the fast-expanding world of AI use cases. In some sense it’s harder to identify what won’t be a potential use case for AI. Today, finance, internet commerce, healthcare, energy discovery and management, and IoT applications are all hot beds of AI development and deployment. Many more will follow. Learn how your work day and business may benefit from these experiences.

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