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In recent years, highly accurate branch predictors have been proposed primarily for high performance processors. Unfortunately such predictors are extremely energy consuming and in some cases not practical as they come with excessive prediction latency. One example of such predictors is the O-GEHL predictor. To achieve high accuracy, O-GEHL relies on large tables and extensive computations and requires high energy and long prediction delay. In this work we propose power optimization techniquesdoi:10.1145/1242531.1242549 dblp:conf/cf/AasaraaiBA07 fatcat:oybvultcyzattjalwhjdl2loce