Traditional high performance computing is hitting a performance wall. With data volumes exploding and workloads becoming increasingly complex, the need for a breakthrough in HPC performance is clear. Intel® Scalable System Framework provides that breakthrough. Designed to work for small clusters to the world’s largest supercomputers, Intel® SSF provides scalability and balance for both compute- and data intensive applications, as well as artificial intelligence and visualization. The design moves everything closer to the processor to improve bandwidth, reduce latency and allow you to spend more time processing and less time waiting.
Watch a panel discussion by Intel, NERSC, PSC, and Rutgers as they talk about AI and Machine Learning.
Cineca details the success they are having with their Intel® Scalable System Framework based supercomputer.
NERSC Exascale Science Applications Program* staff optimize code for an Intel® Xeon Phi™ processor-based supercomputer..
Industry experts from Boston Children’s Hospital, TGen, and other groups share how HPC facilitates new discoveries.
Gaining the next phase of high performance computing insights will require new system design approaches to address increasingly complex modeling and simulation workloads, along with emerging artificial intelligence, machine learning, high performance data analytics, and visualization workloads. With Intel® Scalable System Framework configurations, transform your HPC system using validated designs and experience ease of deployments, operations and application compatibility. In collaboration with our ecosystem, Intel® SSF configurations and compatible applications are being built and deployed globally.
See the growth in the number of TOP500 systems featuring Intel® Xeon Phi™ processors and Intel® Omni-Path Architecture.
Genomic researchers share how HPC is helping create customized medical treatment.
Intel’s Trish Damkroger explains why sustained investment is critical for advancing US HPC leadership.
NERSC is working to get 700 different codes from 6000 users to run on Cori with its 9,300 Intel® Xeon Phi™ processors.
CERN collaborated with Intel on a co-packaged Intel® Xeon plus FPGA processor.
ATI’s Dr. Franz Kiraly makes a case for CPU-Only Approaches to HPC, Analytics, and Machine Learning.