Programming the Soon-to-Be World’s Fastest Supercomputer, Frontier

What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an eli

By Tracey Bryant

AI Newcomer SambaNova GA’s Product Lineup and Offers New Service

During the last couple of years the roll out of AI-specialized chips and systems has steadily gained steam. Today, for example, SambaNova, announced availability of its DataScale systems which ar

By John Russell

Intel Labs Day – Quantum, Neuromorphic, Integrated Photonics, “Pursuit of 1000X” and More

It’s fascinating to see what a major company has percolating in the lab as it reflects the company’s mid- and longer-term expectations. At Intel Labs Day last week, the chip giant provided a

By John Russell

Gordon Bell Prize Winner Breaks Ground in AI-Infused Ab Initio Simulation

The race to blend deep learning and first-principle simulation to speed up solutions and scale up problems tackled is one of the most exciting research areas in computational science today. This

By John Russell

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TACC Advances Plans for NSF Leadership-Class Computing Facility for 10X Science

November 18, 2020

Even with the unprecedented computing power currently at our disposal, a tenfold increase in supercomputing capacity is needed to solve many of today's scientific grand challenge problems. Starting in 2019, TACC was formally invited by the National Science Foundation (NSF) to develop a plan for a Leadership... Read more…

By Aaron Dubrow

Intel Xe-HP GPU Deployed for Aurora Exascale Development

November 17, 2020

At SC20, Intel announced that it is making its Xe-HP high performance discrete GPUs available to early access developers. Notably, the new chips have been deplo Read more…

By Tiffany Trader

IBM Launches Bayesian Optimization Appliance

November 17, 2020

At SC19, IBM laid out a vision for accelerating installed HPC infrastructures with a small but potent dose of IBM AI expertise using Bayesian techniques package Read more…

By John Russell

Nvidia Dominates (Again) Latest MLPerf Inference Results

October 22, 2020

The two-year-old AI benchmarking group MLPerf.org released its second set of inferencing results yesterday and again, as in the most recent MLPerf training resu Read more…

By John Russell

Is the Nvidia A100 GPU Performance Worth a Hardware Upgrade?

October 16, 2020

Over the last decade, accelerators have seen an increasing rate of adoption in high-performance computing (HPC) platforms, and in the June 2020 Top500 list, eig Read more…

By Hartwig Anzt, Ahmad Abdelfattah and Jack Dongarra

Preparing for Exascale Science on Day 1

October 14, 2020

Science simulation, visualization, data, and learning applications will greatly benefit from the massive computational resources available with future exascal Read more…

By Linda Barney

Exascale Day – Everything You Wanted to Know About Progress

October 13, 2020

With Exascale Day 2020 – 10.18.20 – fast approaching, the folks at the Exascale Computing Project (ECP) have pulled together a collection of reports encompa Read more…

By John Russell

LLNL, ANL and GSK Provide Early Glimpse into Cerebras AI System Performance

October 13, 2020

AI chip and systems startup Cerebras was one of many AI companies showcased at the AI Hardware Summit which concluded last week. Rather than dwell on its techno Read more…

By John Russell

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Whitepaper

Next-Generation Sequencing Application with WASAI on QCT POD for Medical (QPM)

In this age of AI and DL, medical researchers are focusing on real time health data capture, precise data analysis, as well as machine assisted analysis. Due to the trend of increasing data volumes, a scalable storage and data management system is more important than ever. Time and cost efficiency of resources are also critical issues when addressing complex tasks. Modernizing the infrastructure of servers, racks, storage, and networking is key to realizing medical innovation. The QPM (QCT POD for Medical), a Platform on Demand (POD) solution, provides the infrastructure and data management needed to meet the processing and storage requirements of Next Generation Sequencing (NGS) and DNA sequencing.

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HPE APOLLO 80: Get Immediate Performance Boost By Giving CPUs High Bandwidth Memory

The recently introduced HPE Apollo 80 from Hewlett Packard Enterprise is a new addition to the arsenal of high-performance computing (HPC) systems tools that an organization can opt for when there are memory-bound and bandwidth-sensitive workloads. The adoption of the Apollo 80 is driven by the fact that many such applications can run dramatically faster on the system and this performance boost is accessible with lightweight porting and minimal tuning. Download this white paper to learn how organizations that are running memory bandwidth-bound applications can use the system to accelerate those workloads with a purpose-built CPU that is accessible to existing applications.

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Sponsored by HPE

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HPC Data Storage Enables Microbiome Research and Understanding of COVID-19 and Other Diseases

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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Sponsored by Panasas

SpotlightON

Popular AI Use Cases

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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