Approximation algorithms for instruction scheduling
Approximation algorithms for instruction scheduling
批准号:
498032-2016
负责人:
Anand, Christopher
金额:
$2.4万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31
中文摘要
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英文摘要
Code generation, including register allocation, instruction selection and instruction scheduling, is a non-polynomial problem, whose satisfactory solution affects every computation we do. To cope with this, many clever heuristics have been invented which afford good to great solutions, very quickly. Heuristics use a-priori knowledge about the interplay of processor resource constraints and common source-code patterns. At their simplest, they recognize loops, and insert previously worked-out optimal loop overhead. But deeply out-of-order processors can be difficult to understand, and it is getting harder to even know why current
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