ALCF Director of Science Katherine Riley and Intel's Joe Curley talk exascale and preparing applications for Argonne National Laboratory’s upcoming Aurora supercomputer. Check out the video featured in Intel's Innovation Showcase.
The annual Argonne Training Program on Extreme-Scale Computing (ATPESC) is set for July 31 - August 12, 2022. This year's program will mark the 10th anniversary of ATPESC! Apply by March 1, 2022, for an opportunity to learn the tools and techniques needed to use the world's most powerful supercomputers for science.
Intel's Borealis testbed provides a resource for evaluating, testing, and debugging the hardware and software technologies that will power Argonne National Laboratory's upcoming exascale supercomputer, Aurora. "Borealis is critical because of the size and scale of the Aurora system, the number of new technologies, and the complexity of the software stack," said Intel's Robert Wisniewski. Check out the Q&A with HPCWire to learn more
How will fusion energy research benefit from exascale supercomputers? In a video featured in Intel's Innovation Showcase, Argonne National Laboratory's Tim Williams, manager of ALCF's Aurora Early Science Program, discusses a project led by Princeton Plasma Physics Laboratory that is preparing to carry out exascale simulations of impurity ion physics in the ITER tokamak.
In the latest episode of ECP's Let's Talk Exascale Code Development podcast, Argonne National Laboratory's Thomas Brettin, Venkat Vishwanath, and Harry Yoo discuss the ongoing efforts to prepare the CANDLE (CANcer Distributed Learning Environment) framework for ALCF's upcoming exascale supercomputer, Aurora.
In the new episode of ACM's ByteCast podcast, Amanda Randles of Duke University discusses her groundbreaking research with blood flow simulations, including her work to prepare for ALCF's upcoming Aurora exascale supercomputer. Randles is leading the Aurora Early Science Program project, "Extreme-Scale In-Situ Visualization and Analysis of Fluid-Structure-Interaction Simulations."
Have a computationally intensive science project that could benefit from supercomputing resources at ALCF, OLCF, and NERSC? The U.S. Department of Energy's ASCR Leadership Computing Challenge (ALCC) is now seeking proposals for 2022-2023. Pre-proposals are due December 17, 2021.
Congratulations to ALCF's Kevin Brown for being named Argonne National Laboratory's first Walter Massey Fellow! “I want to eventually not only do research, but to be the kind of scientist who enables many others to make breakthroughs," says Brown.
Congrats to Argonne National Laboratory researchers and collaborators for being recognized with 5 HPCwire Awards at SC21 this week! Awards included Outstanding Leadership in HPC (Valerie Taylor), Best Use of HPC in Industry, Best Use of High Performance Data Analytics & AI (x2), Best Use of HPC in Physical Sciences
Today, MLCommons released new results for MLPerf HPC v1.0, a machine learning training performance benchmark suite for high-performance computing. "These benchmarks are aimed at measuring the full capabilities of modern supercomputers," said ALCF's Murali Emani, who serves as co-chair of the MLPerf HPC Working Group. "This iteration of MLPerf HPC will help guide upcoming exascale systems for emerging machine learning workloads such as AI for science applications."