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Breaking Boundaries with Data Parallel C++

“There’s a new programming language in town. Called Data Parallel C++ (DPC++), it allows developers to reuse code across diverse hardware targets—CPUs and accelerators—and perform custom tuning for a specific accelerator. DPC++ is part of oneAPI—an Intel-led initiative to create a unified programming model for cross-architecture development. Based on familiar C++ and SYCL, DPC++ is an open alternative to single-architecture proprietary approaches and helps developers create solutions that better meet specialized workload requirements.”

D-Wave Offers Free Quantum Cloud Access for Global Response to COVID-19

Today D-Wave Systems announced the immediate availability of free access to its quantum systems via the Leap quantum cloud service for anyone working on responses to the COVID-19 crisis. “It is promising to accelerate the solution of complex problems in pharmacology and epidemiology, such as those that have arisen in the unprecedented COVID-19 crisis, by means of hybrid workflows from quantum-classical computer simulations.”

NCSA Joins Nationwide Collaboration to Combat COVID-19

NCSA is joining, Microsoft Corporation, and research institutions across the country as part of the new Digital Transformation Institute ( DTI). This new institute, a multi-disciplinary effort focused on artificial intelligence and advanced computing, will initially accept proposals related to the abatement of COVID-19, and mitigating risks from future pandemics using AI. “This new institute will greatly expand the use of computing and data to improve the world, starting with bringing together a consortium of leading institutions to address the COVID-19 crisis.”

Video: Quantum Computing and Supercomputing, AI, Blockchain

Shahin Khan from gave this talk at the Washington Quantum Computing Meetup. “A whole new approach to computing (as in, not binary any more), quantum computing is as promising as it is unproven. Quantum computing goes beyond Moore’s law since every quantum bit (qubit) doubles the computational power, similar to the famous wheat and chessboard problem. So the payoff is huge, even though it is, for now, expensive, unproven, and difficult to use. But new players will become more visible, early use cases and gaps will become better defined, new use cases will be identified, and a short stack will emerge to ease programming.”

Exascale Computing Project Releases Milestone Report

The US Department of Energy’s Exascale Computing Project (ECP) has published a milestone report that summarizes the status of all thirty ECP Application Development (AD) subprojects at the end of fiscal year 2019. “This report contains not only an accurate snapshot of each subproject’s current status but also represents an unprecedentedly broad account of experiences porting large scientific applications to next-generation high-performance computing architectures.”

LLNL Researchers aid COVID-19 response in anti-viral research

Backed by five high performance computing (HPC) clusters and years of expertise in vaccine and countermeasure development, a COVID-19 response team of LLNL researchers from various disciplines has used modeling & simulation, along with machine learning, to identify about 20 initial, yet promising, antibody designs from a nearly infinite set of potentials and to examine millions of small molecules that could have anti-viral properties. The candidates will need to be synthesized and experimentally tested — which Lab researchers cautioned could take time — but progress is being made.

Fast Track your AI Workflows

In this special guest feature, our friends over at Inspur write that for new workloads that are highly compute intensive, accelerators are often required. Accelerators can speed up the computation and allow for AI and ML algorithms to be used in real time. Inspur is a leading supplier of solutions for HPC and AI/ML workloads.

The Role of Middleware in Optimizing Vector Processing

A new whitepaper from NEC X delves into the world of unstructured data and explores how vector processors and their optimization software can help solve the challenges of wrangling the ever-growing volumes of data generated globally. “In short, vector processing with SX-Aurora TSUBASA will play a key role in changing the way big data is handled while stripping away the barriers to achieving even higher performance in the future.”

Video: The Cray Shasta Architecture for the Exascale Era

Steve Scott from HPE gave this talk at the Rice Oil & Gas Conference. “With the announcement of multiple exascale systems, we’re now entering the Exascale Era, marked by several important trends. This talk provides an overview of the Cray Shasta system architecture, which was motivated by these trends, and designed for this new heterogeneous, data-driven world.”

Is Your Storage Infrastructure Ready for the Coming AI Wave?

In this new whitepaper from our friends over at Panasas, we take a look at whether your storage infrastructure is ready for the robust requirements in support of AI workloads. AI promises to not only create entirely new industries, but it will also fundamentally change the way organizations large and small conduct business. IT planners need to start revising their storage infrastructure now to prepare the organization for the coming AI wave.