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Minimal Multi-threading: Finding and Removing Redundant Instructions in Multi-threaded Processors., , , , , , and . MICRO, page 337-348. IEEE Computer Society, (2010)CLSIFT: An Optimization Study of the Scale Invariance Feature Transform on GPUs., , , , and . HPCC/EUC, page 93-100. IEEE, (2013)GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring., , , , and . ICMR, page 39-46. ACM, (2016)Characterizing and Understanding the Bandwidth Behavior of Workloads on Multi-core Processors., , and . Euro-Par, volume 5704 of Lecture Notes in Computer Science, page 110-121. Springer, (2009)Memristors for neural branch prediction: a case study in strict latency and write endurance challenges., , , , , , , and . Conf. Computing Frontiers, page 26:1-26:10. ACM, (2013)Optimizing distributed training deployment in heterogeneous GPU clusters., , , , , , , , and . CoNEXT, page 93-107. ACM, (2020)Efficient Pipeline Planning for Expedited Distributed DNN Training., , , , , , and . INFOCOM, page 340-349. IEEE, (2022)GPURoofline: A Model for Guiding Performance Optimizations on GPUs., , , , , and . Euro-Par, volume 7484 of Lecture Notes in Computer Science, page 920-932. Springer, (2012)An Insightful Program Performance Tuning Chain for GPU Computing., , , and . ICA3PP (1), volume 7439 of Lecture Notes in Computer Science, page 502-516. Springer, (2012)Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation., , , , and . WISE (2), volume 10042 of Lecture Notes in Computer Science, page 324-339. (2016)