Efficient and correct execution of parallel programs that share memory

  • Authors:

  • Dennis Shasha;Marc Snir

  • Affiliations:

  • Courant Institute, New York Univ., New York, NY;IBM T. J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • ACM Transactions on Programming Languages and Systems (TOPLAS)
  • Year:
  • 1988

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Abstract

In this paper we consider an optimization problem that arises in the execution of parallel programs on shared-memory multiple-instruction-stream, multiple-data-stream (MIMD) computers. A program on such machines consists of many sequential program segments, each executed by a single processor. These segments interact as they access shared variables. Access to memory is asynchronous, and memory accesses are not necessarily executed in the order they were issued. An execution is correct if it is sequentially consistent: It should seem as if all the instructions were executed sequentially, in an order obtained by interleaving the instruction streams of the processors. Sequential consistency can be enforced by delaying each access to shared memory until the previous access of the same processor has terminated. For performance reasons, however, we want to allow several accesses by the same processor to proceed concurrently. Our analysis finds a minimal set of delays that enforces sequential consistency. The analysis extends to interprocessor synchronization constraints and to code where blocks of operations have to execute atomically. We use a conflict graph similar to that used to schedule transactions in distributed databases. Our graph incorporates the order on operations given by the program text, enabling us to do without locks even when database conflict graphs would suggest that locks are necessary. Our work has implications for the design of multiprocessors; it offers new compiler optimization techniques for parallel languages that support shared variables.