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Intel Commits $50 Million to Pandemic Response Technology Inititative

Today, Intel pledged an additional $50 million in a pandemic response technology initiative to combat the coronavirus through accelerating access to technology at the point of patient care, speeding scientific research and ensuring access to online learning for students. Included in Intel’s effort is an additional innovation fund for requests where access to Intel expertise and resources can have immediate impact. “We hope that by sharing our expertise, resources and technology, we can help to accelerate work that saves lives and expands access to critical services around the world during this challenging time.”

Fugaku Supercomputer joins fight against COVID-19

Today RIKEN in Japan announced that the partially finished Fugaku supercomputer will be made available for research projects aimed to combat COVID-19. The installation of the new supercomputer began in December 2019, and it is scheduled to go into full-fledged open use in 2021. “To combat the global pandemic of the COVID-19 virus, we will rapidly provide access to the capabilities of Fugaku, leapfrogging its preparation, to accelerate the scientific process of diagnosis, treatment, as well as general prevention of infection spread, to contribute to the early termination of the pandemic.”

Video: Profiling Python Workloads with Intel VTune Amplifier

Paulius Velesko from Intel gave this talk at the ALCF Many-Core Developer Sessions. “This talk covers efficient profiling techniques that can help to dramatically improve the performance of code by identifying CPU and memory bottlenecks. Efficient profiling techniques can help dramatically improve the performance of code by identifying CPU and memory bottlenecks. We will demonstrate how to profile a Python application using Intel VTune Amplifier, a full-featured profiling tool.”

Jülich Supercomputers Power New Insights into Brain Imaging

Researchers are using biophysical modeling and simulations on Jülich supercomputers to develop new brain tissue imaging methods. “When generating a detailed network model of the brain, nerve fiber crossings pose a major challenge for current neuroimaging techniques. Scientists at Forschungszentrum Jülich have now found that scattered light can be used to resolve the brain’s substructure like the crossing angles of the nerve fibers with micrometer resolution. For their studies, the researchers combined microscopy measurements and simulations on supercomputers.”

NVIDIA Adds GPU and AI Expertise to COVID-19 HPC Consortium

A task force of NVIDIA computer scientists has joined the COVID-19 High Performance Computing Consortium, which brings together leaders from the U.S. government, industry and academia to accelerate research using the world’s most powerful HPC resources. “The consortium’s objective is to accelerate development of effective methods to detect, contain and treat the coronavirus. It will support researchers by providing access to 30 supercomputers with over 400 petaflops of compute performance.”

Video: High-Performance Memory For AI And HPC

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

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.”

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

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

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.”

Inspur Storage System achieves record performance on SPC Benchmark 1

An Inspur storage system achieved world record performance and top two ranking in a recent SPC Benchmark 1 performance test. The SPC Benchmark 1 results are a valuable reference for the selection of storage systems for businesses critical applications like OLTP systems, databases systems, and server applications. “To achieve these results, the AS5600G2 adopted iTurbo acceleration engine technology from Inspur and used the four core algorithms of intelligent data path acceleration — intelligent multi-core scheduling, intelligent hot and cold data stream separation, and iMASP random to sequential transformation technology.”