DAdHTM: Low Overhead Dynamically Adaptive Hardware Transactional Memory for Large Graphs A Scalability Study Conference

Qayum, Mohammad, Badawy, Abdel-Hameed A, Cook, Jeanine. (2017). DAdHTM: Low Overhead Dynamically Adaptive Hardware Transactional Memory for Large Graphs A Scalability Study .

cited authors

  • Qayum, Mohammad; Badawy, Abdel-Hameed A; Cook, Jeanine

authors

date/time interval

  • August 4, 2017 -

publication date

  • January 1, 2017

keywords

  • Big Data
  • Computer Science
  • Computer Science, Theory & Methods
  • Engineering
  • Engineering, Electrical & Electronic
  • Graphs
  • Hardware Transactional Memory
  • Hybrid Transactional Memory
  • Science & Technology
  • Synchronization
  • Technology

Location

  • CA, San Francisco

Conference

  • IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation Conference (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)

publisher

  • IEEE