Adaptive Backoff Synchronization Techniques

Abstract

Shared-memory multiprocessors commonly use shared variables for synchronization. Our simulations of real parallel applications show that large- scale cache-coherent multiprocessors suffer significant amounts of invalidation traffic due to synchronization. Large multiprocessors that do not cache synchronization variables are often more severely impacted. If this synchronization traffic is not reduced or managed adequately, synchronization references can cause severe congestion in the network. We propose a class of adaptive backkoff methods that do not use any extra hardware and can significantly reduce the memory traffic to synchronization variables. These methods use synchronization state to reduce polling of synchronization variables. Our simulations show that when the number of processors participating in a barrier synchronization is small compared to the time of arrival of the processors, reductions fo 20 percent to over 95 percent in synchronization traffic can be achieved at no extra cost. In other situations adaptive backoff techniques result in a tradeoff between reduced network accesses and increased processor idle time.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1989
Accession Number
ADA211940

Entities

People

  • Anant Agarwal
  • Mathews Cherian

Organizations

  • Massachusetts Institute of Technology

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Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Parallel and Distributed Computing.