Reconstructing hardware transactional memory for workload optimized systems

  • Authors:

  • Kunal Korgaonkar;Prabhat Jain;Deepak Tomar;Kashyap Garimella;Veezhinathan Kamakoti

  • Affiliations:

  • Indian Institute of Technology Madras, Chennai, India;Indian Institute of Technology Madras, Chennai, India;Indian Institute of Technology Madras, Chennai, India;Indian Institute of Technology Madras, Chennai, India;Indian Institute of Technology Madras, Chennai, India

  • Venue:
  • APPT'11 Proceedings of the 9th international conference on Advanced parallel processing technologies
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Workload optimized systems consisting of large number of general and special purpose cores, and with a support for shared memory programming, are slowly becoming prevalent. One of the major impediments for effective parallel programming on these systems is lock-based synchronization. An alternate synchronization solution called Transactional Memory (TM) is currently being explored.We observe that most of the TM design proposals in literature are catered to match the constrains of general purpose computing platforms. Given the fact that workload optimized systems utilize wider hardware design spaces and on-chip parallelism, we argue that Hardware Transactional Memory (HTM) can be a suitable implementation choice for these systems. We re-evaluate the criteria to be satisfied by a HTM and identify possible scope for relaxations in the context of workload optimized systems. Based on the relaxed criteria, we demonstrate the scope for building HTM design variants, such that, each variant caters to a specific workload requirement. We carry out suitable experiments to bring about the trade-off between the design variants. Overall, we show how the knowledge about the workload is extremely useful to make appropriate design choices in the workload optimized HTM.