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DTSTAMP:20181221T160731Z
LOCATION:D173
DTSTART;TZID=America/Chicago:20181115T103000
DTEND;TZID=America/Chicago:20181115T110000
UID:submissions.supercomputing.org_SC18_sess270_exforum101@linklings.com
SUMMARY:Next Generation NVMe-Native Parallel File System Accelerating AI W
 orkloads
DESCRIPTION:Exhibitor Forum\nArchitectures, Storage\n\nNext Generation NVM
 e-Native Parallel File System Accelerating AI Workloads\n\nZvivbel\n\nAny 
 IT infrastructure that supports an AI and analytics workflow needs to be a
 ble to handle a large number of files, and large amounts of data storage w
 ith high throughput access to all the data. Legacy file systems can’t supp
 ly high throughput and high file IOPS, as they were designed for HDD and a
 re not suitable for low latency, small file IO and metadata heavy workload
 s that are common in AI and analytics. This results in I/O starvation, a m
 ajor problem for an AI system. We’ll introduce a next-gen massively parall
 el shared file system that is NAND FLASH and NVMe-optimized, which is solv
 ing the I/O starvation problem.  \nWhat you will learn:\n- Case study: how
  a large autonomous driving car manufacturer maximizes their investment in
  GPUs by ensuring they are saturated with data\n- How to make I/O compute 
 bound again\n- How to maximize data accessibility for your cluster
URL:https://sc18.supercomputing.org/presentation/?id=exforum101&sess=sess2
 70
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