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BEGIN:VEVENT
DTEND:20210913T120000Z
UID:b61e8bcaca2cf12ddc5e341b51ecacbd-196
DTSTAMP:19700101T120011Z
DESCRIPTION:GPM: Exploring GPUs with Persistent Memory
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/196/gpm-exploring-gpus-with-persistent-memory/
SUMMARY:GPUs are a key computing platform for many application domains. While the emergence of non-volatile memory has brought the promise of fine-grain byte-addressable persistence (a.k.a., persistent memory, or PM) to CPU applications, the same unfortunately is beyond the reach of GPU programs.
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This work takes three steps toward enabling GPU programs to directly access PM. First, we show how various existing software and hardware technologies can be put together to enable direct access to PM from within a GPU kernel. Next, we created a workload suite of 10 GPU-accelerated applications to demonstrate how GPUs can benefit from PM. We then created a GPU library to support logging, checkpointing, and primitives for native persistence to enable GPU programmers to easily leverage PM.
DTSTART:20210913T120000Z
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