Opportunities for nonvolatile memory systems in extreme-scale high-performance computing

Jeffrey S. Vetter, Sparsh Mittal

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

For extreme-scale high-performance computing systems, system-wide power consumption has been identified as one of the key constraints moving forward, where DRAM main memory systems account for about 30 to 50 percent of a node's overall power consumption. As the benefits of device scaling for DRAM memory slow, it will become increasingly difficult to keep memory capacities balanced with increasing computational rates offered by next-generation processors. However, several emerging memory technologies related to nonvolatile memory (NVM) devices are being investigated as an alternative for DRAM. Moving forward, NVM devices could offer solutions for HPC architectures. Researchers are investigating how to integrate these emerging technologies into future extreme-scale HPC systems and how to expose these capabilities in the software stack and applications. Current results show several of these strategies could offer high-bandwidth I/O, larger main memory capacities, persistent data structures, and new approaches for application resilience and output postprocessing, such as transaction-based incremental checkpointing and in situ visualization, respectively.

Original languageEnglish
Article number7006374
Pages (from-to)73-82
Number of pages10
JournalComputing in Science and Engineering
Volume17
Issue number2
DOIs
StatePublished - Mar 1 2015

Keywords

  • DRAM
  • PCM
  • ReRAM
  • STT-RAM
  • flash
  • high-performance computing
  • nonvolatile memory
  • scientific computing
  • supercomputing

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