The U.S. Department of Energy’s Argonne National Laboratory will be home to one of the nation’s first exascale supercomputers when Aurora arrives in 2022. To prepare codes for the architecture and scale of the system, 15 research teams are taking part in the Aurora Early Science Program through the Argonne Leadership Computing Facility (ALCF), a […]
Let’s Talk Exascale Code Development: WDMAPP—XGC, GENE, GEM
July 9, 2021 by
This is episode 82 of the Let’s Talk Exascale podcast, provided by the Department of Energy’s Exascale Computing Project, exploring the expected impacts of exascale-class supercomputing. This is the third in a series on sharing best practices in preparing applications for the upcoming Aurora exascale supercomputer at the Argonne Leadership Computing Facility. The series highlights […]
Podcast: A Shift to Modern C++ Programming Models
May 7, 2020 by
In this Code Together podcast, Alice Chan from Intel and Hal Finkel from Argonne National Lab discuss how the industry is uniting to address the need for programming portability and performance across diverse architectures, particularly important with the rise of data-intensive workloads like artificial intelligence and machine learning. “We discuss the important shift to modern C++ programming models, and how the cross-industry oneAPI initiative, and DPC++, bring much-needed portable performance to today’s developers.”
Video: Preparing to program Aurora at Exascale – Early experiences and future directions
April 30, 2020 by
Hal Finkel from Argonne gave this talk at IWOCL / SYCLcon 2020. “Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date.”
Scientists Look to Exascale and Deep Learning for Developing Sustainable Fusion Energy
April 3, 2020 by
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.”
Argonne to Deploy Cray ClusterStor E1000 Storage System for Exascale
January 30, 2020 by
Today HPE announced that ALCF will deploy the new Cray ClusterStor E1000 as its parallel storage solution. The new collaboration supports ALCF’s scientific research in areas such as earthquake seismic activity, aerospace turbulence and shock-waves, physical genomics and more. “Our recent introduction of the Cray ClusterStor E1000 is delivering ALCF unmatched scalability and performance to meet next-generation HPC storage needs to support emerging, data-intensive workloads.”
Altair PBS Works Steps Up to Exascale and the Cloud
January 7, 2020 by
In this video from SC19, Sam Mahalingam from Altair describes how the company is enhancing PBS Works software to ease the migration of HPC workloads to the Cloud. “Argonne National Laboratory has teamed with Altair to implement a new scheduling system that will be employed on the Aurora supercomputer, slated for delivery in 2021. PBS Works runs big — 50,000 nodes in one cluster, 10,000,000 jobs in a queue, and 1,000 concurrent active users.”
Intel HPC Devcon Keynote: Exascale for Everyone
December 18, 2019 by
The convergence of HPC and AI is driving a paradigm shift in computing. Learn about Intel’s software-first strategy to further accelerate this convergence and extend the boundaries of HPC as we know it today. oneAPI will ease application development and accelerate innovation in the xPU era. Intel delivers a diverse mix of scalar, vector, spatial, and matrix architectures deployed in a range of silicon platforms (such as CPUs, GPUs, FPGAs), and specialized accelerators—each being unified by an open, industry-standard programming model. The talk concludes with innovations in a new graphics architecture and the capabilities it will bring to the Argonne exascale system in 2021.
Intel Unveils New GPU Architecture and oneAPI Software Stack for HPC and AI
November 17, 2019 by
Today at SC19, Intel unveiled its new GPU architecture optimized for HPC and AI as well as an ambitious new software initiative called oneAPI that represents a paradigm shift from today’s single-architecture, single-vendor programming models. “HPC and AI workloads demand diverse architectures, ranging from CPUs, general-purpose GPUs and FPGAs, to more specialized deep learning NNPs which Intel demonstrated earlier this month,” said Raja Koduri, senior vice president, chief architect, and general manager of architecture, graphics and software at Intel. “Simplifying our customers’ ability to harness the power of diverse computing environments is paramount, and Intel is committed to taking a software-first approach that delivers unified and scalable abstraction for heterogeneous architectures.”
New Cray ClusterStor E1000 to Power Exascale Workloads
October 30, 2019 by
Today Cray unveiled its Cray ClusterStor E1000 system, an entirely new parallel storage platform for the Exascale Era. “As the external high performance storage system for the first three U.S. exascale systems, Cray ClusterStor E1000 will total over 1.3 exabytes of storage for all three systems combined. ClusterStor E1000 systems can deliver up to 1.6 terabytes per second and up to 50 million I/O operations per second per rack – more than double compared to other parallel storage systems in the market today.”
