httpv://www.youtube.com/watch?v=EHtYMAHYU5s
This video provides a rare look into the IIT Bombay supercomputer center. The University’s “SpaceTime” system comprises 3200 processors, providing 24 Teraflops of compute capacity for researchers.
Industry Perspectives
Podcast: SCR Scalable Checkpoint/Restart Paves the Way for Exascale
A software product called the Scalable Checkpoint/Restart (SCR) Framework 2.0 recently won an R&D 100 Award. In this episode, Elsa Gonsiorowski and Kathryn Mohror of LLNL discuss what SCR does, the challenges involved in creating it, and the impact it is expected to have in HPC. “SCR enables HPC simulations to take advantage of hierarchical storage systems, without complex code modifications. With SCR, the input/output (I/O) performance of scientific simulations can be improved by orders of magnitude.” [READ MORE…]
White Papers
Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job
In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.
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