Critical Path Computing
Critical Path Computing
批准号:
0105743
负责人:
Dean Tullsen
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-01 至 2004-08-31
中文摘要
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英文摘要
Critical path prediction is a processor architecture technique that uses the past behavior of instructions in the instruction stream to predict whichfetched instructions will be on the critical path; that is, which instructions will have a significant impact on processor performance, and which will not. This information can then be used to guide the selective application of a variety of processor optimizations.Modern processors remove most artificial constraints on executionthroughput. Therefore, the bottleneck for many workloads on current processors is the true dependences in the code. Chains of dependent instructions constrain the overall throughput of the machine, often leaving aggressive processor technology highly underutilized. These chains of dependent instructions constitute the critical performance path, or critical path (CP), though the code.The performance of the processor is thus determined by the speed atwhich it executes the instructions along this critical path. In ourefforts to get the maximum performance from the processor, it is nolonger reasonable to treat all instructions the same. If we can knowwhich instructions are critical to performance, we can acceleratetheir execution, possibly at the expense of instructions not on thecritical path.This research will attempt to identify these critical instructionsdynamically in hardware. We call this critical path prediction. This prediction is based on the behavior of previous invocations of the instruction in the pipeline. This prediction will enable the processor to make better decisions about where to apply certain policies and optimizations. A variety of critical path predictors will be examined.In many cases, critical path prediction will enable more effective application of other resources or optimizations. Possible applications of critical path prediction include guiding value prediction, instruction reuse, instruction issue priority, instruction scheduling on a clustered architecture, speculation control on a power-constrained processor, arbitration between instructions or threads on a multithreaded architecture, or to guide the spawning of speculative threads in a speculative multithreaded processor.
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