Kimberly Keeton on Memory Driven Computing
In this video from the MSST 2017 Mass Storage Conference, Kimberly Keeton from HPE presents: Memory Driven Computing.
"Data growth and data analytics requirements are outpacing the compute and storage technologies that have provided the foundation of processor-driven architectures for the last five decades. This divergence requires a deep rethinking of how we build systems, and points towards a memory-driven architecture, where memory is the key resource and everything else, including processing, revolves around it.
Memory-driven computing (MDC) brings together byte-addressable persistent memory, a fast memory fabric, task-specific processing, and a new software stack to address these data growth and analysis challenges. At Hewlett Packard Labs, we are exploring MDC hardware and software design through The Machine. This talk will review the trends that motivate MDC, illustrate how MDC benefits applications, provide highlights from our Machine-related work in data management and programming models, and outline challenges that MDC presents for the storage community."
Learn more: https://news.hpe.com/memory-driven-co...
and
http://storageconference.us/
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