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Adaptive Cache Bypass and Insertion for Many-core Accelerators., , , , , , and . MES, page 1-8. ACM, (2014)Heterogeneous Computing Meets Near-Memory Acceleration and High-Level Synthesis in the Post-Moore Era., , , and . IEEE Micro, 37 (4): 10-18 (2017)Advanced MRI reconstruction toolbox with accelerating on GPU., , , , , , , , and . Parallel Processing for Imaging Applications, volume 7872 of SPIE Proceedings, page 78720Q. SPIE, (2011)Locality-centric thread scheduling for bulk-synchronous programming models on CPU architectures., , , , and . CGO, page 257-268. IEEE Computer Society, (2015)Unrolling-based optimizations for modulo scheduling., and . MICRO, page 327-337. ACM / IEEE Computer Society, (1995)Collaborative (CPU + GPU) algorithms for triangle counting and truss decomposition on the Minsky architecture: Static graph challenge: Subgraph isomorphism., , , , , and . HPEC, page 1-7. IEEE, (2017)PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference., , , , , , , , , and 1 other author(s). ASPLOS, page 715-731. ACM, (2019)Raising the level of many-core programming with compiler technology: meeting a grand challenge.. PACT, page 5-6. ACM, (2010)Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures., , and . CIT, page 1175-1180. IEEE Computer Society, (2010)XMalloc: A Scalable Lock-free Dynamic Memory Allocator for Many-core Machines., , , , and . CIT, page 1134-1139. IEEE Computer Society, (2010)