Self-scheduling, data synchronization, and program transformation for multiprocessor systems

Miscellaneous · Sun Jan 01 00:00:00 EST 1989

OSTI ID:5814859

Tang, P

This dissertation first concentrates on two important software issues for large multiprocessor systems: processor scheduling and data synchronization. Self-scheduling, and efficient dynamic heuristic scheduling, is a practical solution to the scheduling problem of multiprocessor systems. The author proposes several self-scheduling schemes which can be used by a compiler to generate self-scheduling object codes for parallel programs. Since busy-waiting is used to enforce cross-iteration data dependences, deadlocks in self-scheduling are possible. He identifies the conditions that allow deadlock-free self-scheduling for different self-scheduling models and propose the use of an appropriate scheduling order for allocating processors to prevent deadlocks. Self-scheduling order has significant impact on the performance of parallel loops with cross-iteration data dependences. He proposes the shortest-delay self-scheduling (SDSS) order based on Doacross delays determined by cross-iteration data dependences. He shows by simulation that SDSS can offer near-optimal performance in most cases. A compile-time program transformation for SDSS is also presented. Data synchronization is necessary to enforce cross-iteration data dependences. He proposes a set of data-level synchronization instructions to support data synchronization. Compiler algorithms for generating these data-level synchronization instructions for different types of subscript functions are presented. The last part of the dissertation addresses an architecture issue of large multiprocessor systems: hot-spot contention.

• Research Organization: Illinois Univ., Urbana, IL (USA)
• OSTI ID: 5814859
• Resource Relation: Other Information: Thesis (Ph. D.)
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ARRAY PROCESSORS
DATA TRANSMISSION
TASK SCHEDULING
ALGORITHMS
COMPUTER ARCHITECTURE
PARALLEL PROCESSING
PERFORMANCE
SUPERCOMPUTERS
SYNCHRONIZATION
COMMUNICATIONS
COMPUTERS
DATA PROCESSING
DIGITAL COMPUTERS
MATHEMATICAL LOGIC
PROCESSING
PROGRAMMING
990200* - Mathematics & Computers