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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (1998)
Paris, France
Oct. 12, 1998 to Oct. 18, 1998
ISSN: 1089-795X
ISBN: 0-8186-8591-3
pp: 158
Allen Leung , Courant Institute of Mathematical Sciences
Krishna V. Palem , Courant Institute of Mathematical Sciences
Amir Pnueli , Weizmann Institute of Science
ABSTRACT
Instruction scheduling is central to achieving performance in modern processors with instruction level parallelism (ILP). Classical work in this area has spanned the theoretical foundations of algorithms for instruction scheduling with provable optimality, as well as heuristic approaches with experimentally validated performance improvements. Typically, the theoretical foundations are developed in the context of basic-blocks of code. In this paper, we provide the theoretical foundations for scheduling basic-blocks of instructions with time-constraints, which can play an important role in compile-time ILP optimizations in embedded applications. We present an algorithm for scheduling unit-execution-time instructions on machines with multiple pipelines, in the presence of precedence constraints, release-times, deadlines, and latencies $l_{ij}$ between any pairs of instructions $i$ and $j$. Our algorithm runs in time $O(n^3\alpha(n))$, where $\alpha(n)$ is the functional inverse of the Ackermann function. It can be used construct feasible schedules for two classes of instances:one pipeline and the latencies between instructions are restricted to the values of 0 and 1, and arbitrary number of pipelines and monotone-interval order precedences. %The algorithm can also be used to construct minimal tardiness %schedules in polynomial time. Our result can be seen as a natural extension of previous work on instruction scheduling for pipelined machines in the presence of deadlines.
INDEX TERMS
Compiler-optimizations, embedded applications, instruction level parallelism, instruction scheduling.
CITATION
Allen Leung, Krishna V. Palem, Amir Pnueli, "A Fast Algorithm for Scheduling Time-Constrained Instructions on Processors with ILP", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 158, 1998, doi:10.1109/PACT.1998.727188
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