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GPU Computing Pipeline Inefficiencies and Optimization Opportunities in Heterogeneous CPU-GPU Processors.

, , and . IISWC, page 87-97. IEEE Computer Society, (2015)

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The impact of delay on the design of branch predictors., , and . MICRO, page 67-76. ACM/IEEE Computer Society, (2000)Universal Mechanisms for Data-Parallel Architectures., , , and . MICRO, page 303-314. IEEE Computer Society, (2003)Reconciling performance and programmability in networking systems., , and . SIGCOMM, page 73-84. ACM, (2007)Community-based Matrix Reordering for Sparse Linear Algebra Optimization., , , and . ISPASS, page 214-223. IEEE, (2023)Topology-Aware Quality-of-Service Support in Highly Integrated Chip Multiprocessors., , and . ISCA Workshops, volume 6161 of Lecture Notes in Computer Science, page 357-375. Springer, (2010)Late-binding: enabling unordered load-store queues., , , , and . ISCA, page 347-357. ACM, (2007)Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications., , , , , , and . GPGPU@ASPLOS, page 1. ACM, (2014)How to implement effective prediction and forwarding for fusable dynamic multicore architectures., , , , , , , and . HPCA, page 460-471. IEEE Computer Society, (2013)Selective GPU caches to eliminate CPU-GPU HW cache coherence., , , , , and . HPCA, page 494-506. IEEE Computer Society, (2016)On the Trend of Resilience for GPU-Dense Systems., , , , , and . DSN (Supplements), page 29-34. IEEE, (2019)