Tags: gpu

Exascale Computing – What are the Goals and the Baseline?

In this video from the 4th Annual MVAPICH User Group, Thomas Schulthess from CSCS presents: Exascale Computing – What are the Goals and the Baseline? “Implementation of exascale computing will be different in that application performance is supposed to play a central role...
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The Core Technologies for Deep Learning

This is the second article in a series taken from the inside HPC Guide to The Industrialization of Deep Learning. Given the compute and data intensive nature of deep learning which has significant overlaps with the needs of the high performance computing market, the TOP500 list...
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Nvidia Plugin Makes GPU Acceleration Possible in Docker Containers

Machine learning apps in containers can't run GPU-accelerated code, but a new Docker plugin by Nvidia is set to remedy all that. Nvidia, developer of the CUDA standard for GPU-accelerated programming, is releasing a plugin for the Docker ecosystem that makes GPU-accelerated computing...
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MapD Offers a Columnar Database System that Runs on GPUs

San Francisco startup MapD has released a database system, ParallelDB, built to run on GPUs (graphics processing units), which can be used to explore multi-billion row datasets quickly in milliseconds, according to the company. The idea of using GPUs for database work may initially seem...
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New Functional Programming Language Can Generate C, Python Code for Apps

The open source Futhark makes it easier to program for GPUs that speed up machine learning and other math-intensive apps. Researchers at the University of Copenhagen's Department of Computer Science recently unveiled Futhark, an open source functional programming language ...
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