Student teams are encouraged to apply for the 2020 APAC HPC-AI Competition. Continuing the success of the previous competitions, student teams will square off against international teams to produce solutions and applications in the High-Performance Computing and Artificial Intelligence domains. “We hope that the HPC-AI training established among our young aspiring programmers can help us tackle global threats such as COVID-19 and accelerate an improved response to future pandemics.”
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Radio Free HPC Recaps the SC19 Student Cluster Competition
November 28, 2019 by
In this podcast, the Radio Free HPC team recaps the SC19 Student Cluster Competition. “We talk about the student configurations, kicked around the pros and cons of the “small is beautiful” movement in the student cluster competition world. “Does the trend towards fewer-bigger nodes mean a re-emergence and eventual re-victory of SMP over MPP?” wonders Shahin! No records in HPL or HPCG, but some good scores regardless.”
NVIDIA Tops MLPerf AI Inference Benchmarks
November 7, 2019 by
Today NVIDIA posted the fastest results on new benchmarks measuring the performance of AI inference workloads in data centers and at the edge — building on the company’s equally strong position in recent benchmarks measuring AI training. “NVIDIA topped all five benchmarks for both data center-focused scenarios (server and offline), with Turing GPUs providing the highest performance per processor among commercially available entries.”
ISC 2019 Student Cluster Competition: Day-by-Day Drama, Winners Revealed!
July 15, 2019 by
In this special guest feature, Dan Olds from OrionX continues his first-hand coverage of the Student Cluster Competition at the recent ISC 2019 conference. “The ISC19 Student Cluster Competition in Frankfurt, Germany had one of the closest and most exciting finishes in cluster competition history. The overall winner was decided by just over two percentage points and the margin between third and fourth place was less than a single percentage point.”
NVIDIA DGX-Ready Program Goes Global
July 12, 2019 by
Deploying AI at scale can be an extreme challenge for data centers. To ease the process, NVIDIA has expanded its DGX-Ready Data Center Program to 19 validated partners around the world. “DGX-Ready Data Center partners help companies access modern data center facilities for their AI infrastructure. They offer world-class facilities to host DGX AI compute infrastructure, giving more organizations access to AI-ready data center facilities while saving on capital expenditures and keeping operational costs low.”
ISC19 Student Cluster Competition: Apps to Confuse & Confound
June 24, 2019 by
If you’re looking for the big news, the team from CHPC in South Africa won the ISC 2019 Student Cluster competition this year. In this special guest feature, Dan Olds from OrionX shares first-hand coverage of the competition last week in Frankfurt.
HPC Breaks Through to the Cloud: Why It Matters
April 30, 2019 by
In this special guest feature, Scot Schultz from Mellanox writes researchers are benefitting in a big way from HPC in the Cloud. “HPC has many different advantages depending on the specific use case, but one aspect that these implementations have in common is their use of RDMA-based fabrics to improve compute performance and reduce latency.”
Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiBD Project
February 16, 2019 by
DK Panda from Ohio State University gave this talk at the 2019 Stanford HPC Conference. “This talk will provide an overview of challenges in designing convergent HPC and BigData software stacks on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented. Enhanced designs for these components to exploit HPC scheduler (SLURM), parallel file systems (Lustre) and NVM-based in-memory technology will also be presented. Benefits of these designs on various cluster configurations using the publicly available RDMA-enabled packages from the OSU HiBD project will be shown.”
Exascale Computing Project updates Extreme-Scale Scientific Software Stack
February 15, 2019 by
Exascale computing is only a few years away. Today the Exascale Computing Project (ECP) put out the second release of their Extreme-Scale Scientific Software Stack. The E4S Release 0.2 includes a subset of ECP ST software products, and demonstrates the target approach for future delivery of the full ECP ST software stack. Also available are […]
Unversity of Cambridge Receives £10 million in funding for new AI supercomputer
May 1, 2018 by
The UK’s fastest academic supercomputer, based at the University of Cambridge, will be made available to artificial intelligence (AI) technology companies from across the UK, in support of the government’s industrial strategy. “Artificial Intelligence is at the centre of our plans to make the UK the best place in the world to start and grow a digital business.”
