httpv://www.youtube.com/watch?v=6PCK58aS85M
In this video, Professor Federico Silla and Antonio J. Peña from the Technical University of Valencia Spain present: rCUDA, An Approach to Provide Remote Access to GPU Computational Power. Download the slides (PDF).
Recorded at the HPC Advisory Council Switzerland Workshop on March 14, 2012.
[SPONSORED GUEST ARTICLE] In tech, you’re either forging new paths or stuck in traffic. Tier 0 doesn’t just clear the road — it builds the autobahn. It obliterates inefficiencies, crushes bottlenecks, and unleashes the true power of GPUs. The MLPerf1.0 benchmark has made one thing clear ….
Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper will explores the new platform and assess its strengths and weaknesses compared to the growing cadre of potential competitors.
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