Sign in

UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis.

Glenn K. LockwoodWucherl YooSuren BynaNicholas J. WrightShane SnyderKevin HarmsZachary NaultPhilip H. Carns
Published in: PDSW-DISCS@SC (2017)
Keyphrases
  • input output
  • higher level
  • garbage collection
  • database
  • data sets
  • data structure
  • file system
  • similarity metrics
  • automatically generating
  • real time
  • neural network