Scheduling time-critical instructions on RISC machines

Author:

Palem Krishna V.1,Simons Barbara B.2

Affiliation:

1. IBM T. J. Watson Research Center, Yorktown Heights, NY

2. IBM Santa Teresa Lab., San Jose, CA

Abstract

We present a polynomial time algorithm for constructing a minimum completion time schedule of instructions from a basic block on RISC machines such as the Sun SPARC, the IBM 801, the Berkeley RISC machine, and the HP Precision Architecture. Our algorithm can be used as a heuristic for RISC processors with longer pipelines, for which there is no known optimal algorithm. Our algorithm can also handle time-critical instructions, which are instructions that have to be completed by a specific time. Time-critical instructions occur in some real-time computations, and can also be used to make shared resources such as registers quickly available for reuse. We also prove that in the absence of time-critical constraints, a greedy scheduling algorithm always produces a schedule for a target machine with multiple identical pipelines that has a length less than twice that of an optimal schedule. The behavior of the heuristic is of interest because, as we show, the instruction scheduling problem becomes NP-hard for arbitrary length pipelines, even when the basic block of code being input consists of only several independent streams of straightline code, and there are no time-critical constraints. Finally, we prove that the problem becomes NP-hard even for small pipelines, no time-critical constraints, and input of several independent streams of straightline code if either there is only a single register or if no two instructions are allowed to complete simultaneously because of some shared resource such as a bus.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference27 articles.

1. ALLEN F. ROSEN B AND ZADECK K. ED. Optimization in compi}ers. To appear. ALLEN F. ROSEN B AND ZADECK K. ED. Optimization in compi}ers. To appear.

2. Scheduling expressions on a pipelined processor with a maximal delay of one cycle

3. Approximation algorithms for scheduling arithmetic expressions on pipelined machines

4. Deterministic Scheduling with Pipelined Processors

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