httpv://www.youtube.com/watch?v=81cVTFPsRPs
In this video, Primeur Magazine asks the ISC’11 Analyst Crossfire panel whether co-design for Exascale supercomputers is really necessary. Watch the full ISC Analyst Crossfire session here.
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.
Featured Job
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Co-design is a death sentence to the broader HPC users. While new class of machines can be designed with a deeper view on specific workloads, the follow-up systems need to provide a scalable, and cost effective solution for a broader range of codes.