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Video: Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze Research Breakthroughs

Nick Nystrom from the Pittsburgh Supercomputing Center gave this talk at the Stanford HPC Conference. “The Artificial Intelligence and Big Data group at Pittsburgh Supercomputing Center converges Artificial Intelligence and high performance computing capabilities, empowering research to grow beyond prevailing constraints. The Bridges supercomputer is a uniquely capable resource for empowering research by bringing together HPC, AI and Big Data.”

How HPC is aiding the fight against COVID-19

In this special guest feature, Dr. Rosemary Francis writes that HPC is playing a massive part in the fight against Covid-19 through modeling, genomics, and drug discovery. “Thanks to the work in labs and HPC centres around the world, we now know that the molecular mechanism of the SARS-CoV-2 entry is via a lock and key effect; a spike on the outside of the virus acts as a key to unlock an ACE2 receptor protein on the human cell.”

New NVIDIA DGX A100 Packs Record 5 Petaflops of AI Performance for Training, Inference, and Data Analytics

Today NVIDIA unveiled the NVIDIA DGX A100 AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform. “DGX A100 systems integrate eight of the new NVIDIA A100 Tensor Core GPUs, providing 320GB of memory for training the largest AI datasets, and the latest high-speed NVIDIA Mellanox HDR 200Gbps interconnects.”

MemVerge Introduces Big Memory Computing

Today MemVerge introduced Big Memory Computing. This new category is sparking a revolution in data center architecture where all applications will run in memory. Big Memory Computing is the combination of DRAM, persistent memory and Memory Machine software technologies, where the memory is abundant, persistent and highly available. “With MemVerge’s Memory Machine technology and Intel’s Optane DC persistent memory, enterprises will be able to more efficiently and quickly gain insights from enormous amounts of data in near-real time.”

Quantum StorNext Makes Cloud Content More Accessible, Speeds Data Retrieval

Today Quantum Corp. announced new advancements for its StorNext file system and data management software designed to make cloud content more accessible, with significantly improved read and write speeds for any cloud and object store based storage solution. “We are working closely with our customers to innovate and enhance the capabilities of our StorNext file system,” said Ed Fiore, Vice President and General Manager, Primary Storage, Quantum. “At this time when customers are forced to work remotely, the flexibility to move content between locations, both on-premise and cloud datacenters, is critical. This latest version of StorNext software adds new ways to archive content and access it in the cloud and is another step toward providing a seamless bridge between on-premise and the cloud.”

Video: The Future of Quantum Computing with IBM

In this video, Dario Gil from IBM shares results from the IBM Quantum Challenge and describes how you can access and program quantum computers on the IBM Cloud today. “Those working in the Challenge joined all those who regularly make use of the 18 quantum computing systems that IBM has on the cloud, including the 10 open systems and the advanced machines available within the IBM Q Network. During the 96 hours of the Challenge, the total use of the 18 IBM Quantum systems on the IBM Cloud exceeded 1 billion circuits a day.”

New Gordon Bell Special Prize announced for HPC-Based COVID-19 Research

Today ACM announced the inception of the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research. The new award will be presented in 2020 and 2021 and will recognize outstanding research achievements that use high performance computing applications to understand the COVID-19 pandemic, including the understanding of its spread. Nominations will be selected based on performance and innovation in their computational methods, in addition to their contributions toward understanding the nature, spread and/or treatment of the disease.

ICHEC to develop quantum circuit simulation tools for Europe’s largest supercomputers

Today the Irish Centre for High-End Computing (ICHEC) announced that it is leading a novel quantum simulation project in collaboration with partners at the Leibniz Supercomputing centre (LRZ) to develop quantum simulation tools for Europe’s largest supercomputers. “While actual quantum computing is still some way off, the simulation tools we are creating will advance the necessary concepts and skill-sets for quantum programming,” said Dr Niall Moran, Principal Investigator and project leader of the PRACE WP8 QuantEx project at ICHEC. “This work is being conducted with world-class research teams across a number of Irish third-level institutions and will contribute to preparing Ireland for Quantum programming.”

Australian Supercomputers to help fight COVID-19

NCI Australia and the Pawsey Supercomputing Centre are supporting the Australian and international research community undertaking COVID-19 research through provision of streamlined, prioritized and expedited access to computation and data resources. “Having access to advanced HPC resources and data expertise at Pawsey and NCI allows Australian researchers to accelerate their science to combat the pandemic and we are proud to contribute our national infrastructure and expertise in this collaborative effort.”

Interview: Fighting the Coronavirus with TACC Supercomputers

In this video from the Stanford HPC Conference, Dan Stanzione from the Texas Advanced Computing Center describes how their powerful supercomputers are helping to fight the coronavirus pandemic. “In times of global need like this, it’s important not only that we bring all of our resources to bear, but that we do so in the most innovative ways possible,” said TACC Executive Director Dan Stanzione. “We’ve pivoted many of our resources towards crucial research in the fight against COVID-19, but supporting the new AI methodologies in this project gives us the chance to use those resources even more effectively.”