HPC + AI Wall Street to Feature ‘Spooky’ Science for Financial Services

September 18, 2022

Albert Einstein famously described quantum mechanics as "spooky action at a distance" due to the non-intuitive nature of superposition and quantum entangled par Read more…

Nvidia Platform Pushes GPUs into Machine Learning, High Performance Data Analytics

October 10, 2018

GPU leader Nvidia, generally associated with deep learning, autonomous vehicles and other higher-end enterprise and scientific workloads (and gaming, of course) Read more…

UK Met Office Deploys Cray AI/Analytics to Enhance Forecasting

September 26, 2018

Already home to three Cray XC40 systems (the last one deployed in 2016), the Met Office, a leading weather center in the U.K., has now added Cray’s Urika-XC s Read more…

Need Data Science CyberInfrastructure? Check with RENCI’s xDCI Concierge

September 6, 2017

For about a year the Renaissance Computing Institute (RENCI) has been assembling best practices and open source components around data-driven scientific researc Read more…

HPE Gobbles SGI for Larger Slice of $11B HPC Pie

August 11, 2016

Hewlett Packard Enterprise (HPE) announced today that it will acquire rival HPC server maker SGI for $7.75 per share, or about $275 million, inclusive of cash and debt. The deal ends the seven-year reprieve that kept the SGI banner flying after Rackable Systems purchased the bankrupt Silicon Graphics Inc. for $25 million in 2009 and assumed the SGI brand. Bringing SGI into its fold bolsters HPE's high-performance computing and data analytics capabilities and expands its position... Read more…

Intel Xeon E7 Balloons In-memory Capacity, Targets Real-Time Analytics

June 8, 2016

Who crunches more data faster, wins. It’s this drive that cuts through and clarifies the essence of the evolutionary spirit in the computer industry, the dual Read more…

Nielsen and Intel Migrate HPC Efficiency and Data Analytics to Big Data

May 16, 2016

Nielsen has collaborated with Intel to migrate important pieces of HPC technology into Nielsen’s big-data analytic workflows including MPI, mature numerical libraries from NAG (the Numerical Algorithms Group), as well as custom C++ analytic codes. This complementary hybrid approach integrates the benefits of Hadoop data management and workflow scheduling with an extensive pool of HPC tools and C/C++ capabilities for analytic applications. In particular, the use of MPI reduces latency, permits reuse of the Hadoop servers, and co-locates the MPI applications close to the data. Read more…

Making Sense of HPC in the Age of Democratization

March 8, 2016

These are exciting times for HPC. High-performance computing and its cousin high-productivity computing are expanding such that the previous definitions of HPC Read more…

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Whitepaper

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

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