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 …
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 …
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…
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…
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…
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…
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…
October 14, 2020
Science simulation, visualization, data, and learning applications will greatly benefit from the massive computational resources available with future exascal Read more…
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…
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…
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.
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.
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.
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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