ISSN:
1573-7640
Keywords:
SIMULTANEOUS MULTITHREADING
;
COMPILER OPTIMIZATION
;
LOOP TILING
;
SPECULATION
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract Simultaneous Multithreading (SMT) is a processor architectural technique that promises to significantly improve the utilization and performance of modern wide-issue superscalar processors. An SM T processor is capable of issuing multiple instructions from multiple threads to a processor's functional units each cycle. Unlike shared-memory multiprocessors, SMT provides and benefits from fine-grained sharing of processor and memory system resources; unlike current uniprocessors, SMT exposes and benefits from inter-thread instruction-level parallelism when hiding long-latency operations. Compiler optimizations are often driven by specific assumptions about the underlying architecture and implementation of the target machine, particularly for parallel processors. For example, when targeting shared-memory multiprocessors, parallel programs are compiled to minimize sharing, in order to decrease high-cost inter-processor communication. Therefore, optimizations that are appropriate for these conventional machines may be inappropriate for SMT, which can benefit from finegrained resource sharing within the processor. This paper reexamines several compiler optimizations in the context of simultaneous multithreading. We revisit three optimizations in this light: loop-iteration scheduling, software speculative execution, and loop tiling. Our results show that all three optimizations should be applied differently in the context of SMT architectures: threads should be parallelized with a cyclic, rather than a blocked algorithm; non-loop programs should not be software speculated, and compilers no longer need to be concerned about precisely sizing tiles to match cache sizes. By following these new guidelines, compilers can generate code that improves the performance of programs executing on SMT machines.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1018780200739
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