{"id":162206,"date":"2011-08-01T00:00:00","date_gmt":"2011-08-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/accelerating-data-race-detection-with-minimal-hardware-support\/"},"modified":"2018-10-16T20:12:48","modified_gmt":"2018-10-17T03:12:48","slug":"accelerating-data-race-detection-with-minimal-hardware-support","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/accelerating-data-race-detection-with-minimal-hardware-support\/","title":{"rendered":"Accelerating Data Race Detection with Minimal Hardware Support"},"content":{"rendered":"
We propose a high performance hybrid hardware\/software solution to race detection that uses minimal hardware support. This hardware extension consists of a single extra instruction, StateChk, that simply returns the coherence state of a cache block without requiring any complex traps to handlers. To leverage this support, we propose a new algorithm for race detection. This detection algorithm uses StateChk to eliminate many expensive operations. We also propose a new execution schedule manipulation heuristic to achieve high coverage rapidly. This approach is capable of detecting virtually all data races detected by a traditional happened-before data race detection approach, but at significantly lower space and performance overhead.<\/p>\n<\/div>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
We propose a high performance hybrid hardware\/software solution to race detection that uses minimal hardware support. This hardware extension consists of a single extra instruction, StateChk, that simply returns the coherence state of a cache block without requiring any complex traps to handlers. To leverage this support, we propose a new algorithm for race detection. 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