Neural Networks for Computer Systems

Alon Rashelbach, Ori Rottenstreich, Mark Silberstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present the Range Query Recursive Model Index (RQRMI) data structure that trades memory accesses for computations in performance-critical systems that employ Range Matching.

Original languageEnglish
Title of host publicationProceedings of the 16th ACM International Conference on Systems and Storage, SYSTOR 2023
Pages147
Number of pages1
ISBN (Electronic)9781450399623
DOIs
StatePublished - 5 Jun 2023
Event16th ACM International Conference on Systems and Storage, SYSTOR 2023 - Haifa, Israel
Duration: 5 Jun 20237 Jun 2023

Publication series

NameProceedings of the 16th ACM International Conference on Systems and Storage, SYSTOR 2023

Conference

Conference16th ACM International Conference on Systems and Storage, SYSTOR 2023
Country/TerritoryIsrael
CityHaifa
Period5/06/237/06/23

Keywords

  • computer systems
  • neural networks

All Science Journal Classification (ASJC) codes

  • Software
  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Science Applications

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