In this video, Frank Ferro from Rambus examines the current performance bottlenecks in HPC, drilling down into power and performance for different memory options. “HBM2E offers the capability to achieve tremendous memory bandwidth. Four HBM2E stacks connected to a processor will deliver over 1.6 TB/s of bandwidth. And with 3D stacking of memory, high bandwidth and high capacity can be achieved in an exceptionally small footprint. Further, by keeping data rates relatively low, and the memory close to the processor, overall system power is kept low.”
Podcast: How crowd-sourced supercomputing is helping fight COVID-19
April 5, 2020 by Leave a Comment
In this Roadhouse podcast, Dr. Greg Bowman from Folding @ Home describes the how crowdsourced computing is being used to fight the coronavirus and how we can get involved. “We are excited to announce a new batch of small molecule screening simulations are now up and running on Folding@home! These simulations will help prioritize which molecules will be synthesized and assayed by the COVID Moonshot aiming to rapidly developing new therapies against the SARS-CoV-2 main viral protease.”
NERSC Supercomputer to Help Fight Coronavirus
April 4, 2020 by Leave a Comment
“NERSC is a member of the COVID-19 High Performance Computing Consortium. In support of the Consortium, NERSC has reserved a portion of its Director’s Discretionary Reserve time on Cori, a Cray XC40 supercomputer, to support COVID-19 research efforts. The GPU partition on Cori was installed to help prepare applications for the arrival of Perlmutter, NERSC’s next-generation system that is scheduled to begin arriving later this year and will rely on GPUs for much of its computational power.”
Job of the Week: Research HPC Specialist at South Dakota State University
April 4, 2020 by Leave a Comment
South Dakota State University Division of Technology and Security is offering an exciting career opportunity as a Research High Performance Computer Specialist. We are looking for a creative and innovative professional to join us in the engagement of university research faculty and their collaborators, graduate research assistants, and laboratory personnel to identify, develop and implement appropriate high-performance computing solutions (application/parallel computing/programming) to problems impeding their research/diagnostic work.
CXL and Gen-Z Consortiums to Collaborate
April 3, 2020 by Leave a Comment
Today the Compute Express Link (CXL) Consortium and Gen-Z Consortium announced a Memorandum of Understanding (MOU) describing a mutual plan for collaboration between the two organizations. The agreement shows the commitment each organization is making to promote interoperability between the technologies, while leveraging and further developing complementary capabilities of each technology. “CXL technology and Gen-Z are gearing up to make big strides across the device connectivity ecosystem. Each technology brings different yet complementary interconnect capabilities required for high-speed communications,” said Jim Pappas, board chair, CXL Consortium. “We are looking forward to collaborating with the Gen-Z Consortium to enable great innovations for the Cloud and IT world.”
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
April 3, 2020 by Leave a Comment
William Beaudin from DDN gave this talk at GTC Digital. “Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We’ll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems. The groundbreaking performance delivered by the DGX SuperPOD enables the rapid training of deep learning models at great scale.”
Scientists Look to Exascale and Deep Learning for Developing Sustainable Fusion Energy
April 3, 2020 by Leave a Comment
Scientists from Princeton Plasma Physics Laboratory are leading an Aurora ESP project that will leverage AI, deep learning, and exascale computing power to advance fusion energy research. “With a suite of the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are developing models of disruption mitigation systems (DMS) to increase warning times and work toward eliminating major interruption of fusion reactions in the production of sustainable clean energy.”
Interview: Under Secretary Paul Dabbar on the COVID-19 HPC Consortium
April 2, 2020 by Leave a Comment
The DOE laboratory complex has many core capabilities that can be applied to addressing the threats posed by COVID-19. “This public-private partnership includes the biggest players in advanced computing from government, industry, and academia. At launch, the consortium includes five DOE laboratories, industry leaders like IBM, Microsoft, Google, and Amazon, and preeminent U.S. universities like MIT, RPI, and UC San Diego. And within a week, we’ve already received more than a dozen requests from other organizations to join the consortium.”
How Your Computer Can Help Scientists Fight COVID-19
April 1, 2020 by 1 Comment
Today IBM announced that anyone in the world with a PC, laptop or Mac and an Internet connection could help scientists seek chemical compounds that might be effective against COVID-19. “The project, designed and led by Scripps Research, will be hosted on IBM’s World Community Grid. Volunteers download an app that works when their devices are otherwise idle or in light use. Operating unobtrusively in the background without slowing users’ systems, the app distributes computational assignments and returns completed calculations to researchers, all via the IBM cloud.”
2nd Gen AMD EPYC Processors Power New IBM Cloud Bare Metal Servers
April 1, 2020 by Leave a Comment
Today, AMD announced that IBM Cloud is enhancing its global infrastructure with 2nd Gen AMD EPYC processors to power its latest bare metal servers. Available now, these new bare metal servers are the first 2nd Gen AMD EPYC based offering from IBM Cloud and are focused on the computing power and performance required to accelerate modern workloads like data analytics, electronic design automation, artificial intelligence and virtualized and containerized workloads.
