Manvi Agarwal, S. Nandy, J. V. Eijndhoven, S. Balakrishnan
{"title":"Speculative trace scheduling in VLIW processors","authors":"Manvi Agarwal, S. Nandy, J. V. Eijndhoven, S. Balakrishnan","doi":"10.1109/ICCD.2002.1106803","DOIUrl":null,"url":null,"abstract":"VLIW processors are statically scheduled processors and their performance depends on the quality of schedules generated by the compiler's scheduler. We propose a new scheduling scheme where the application is first divided into decision trees and then further split into traces. Traces are speculatively scheduled on the processor based on their probability of execution. We have developed a tool \"SpliTree\" to generate traces automatically. By using dynamic branch prediction for scheduling traces our scheme achieves approximately 1.4/spl times/ performance improvement over that using decision trees for Spec92 benchmarks simulated on TriMedia/spl trade/.","PeriodicalId":164768,"journal":{"name":"Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2002.1106803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
VLIW processors are statically scheduled processors and their performance depends on the quality of schedules generated by the compiler's scheduler. We propose a new scheduling scheme where the application is first divided into decision trees and then further split into traces. Traces are speculatively scheduled on the processor based on their probability of execution. We have developed a tool "SpliTree" to generate traces automatically. By using dynamic branch prediction for scheduling traces our scheme achieves approximately 1.4/spl times/ performance improvement over that using decision trees for Spec92 benchmarks simulated on TriMedia/spl trade/.