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Automated Transformation of GPU-Specific OpenCL Kernels Targeting Performance Portability on Multi-Core/Many-Core CPUs.

, , , , , , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 210-221. Springer, (2014)

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Automated Transformation of GPU-Specific OpenCL Kernels Targeting Performance Portability on Multi-Core/Many-Core CPUs., , , , , , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 210-221. Springer, (2014)ACF: Networks-on-Chip Deadlock Recovery with Accurate Detection and Elastic Credit., , , and . APPT, volume 8299 of Lecture Notes in Computer Science, page 319-333. Springer, (2013)FPGA-accelerated deep convolutional neural networks for high throughput and energy efficiency., , , , , and . Concurr. Comput. Pract. Exp., (2017)Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA., , , , , and . FPGA, page 97-106. ACM, (2018)Optimizing OpenCL Implementation of Deep Convolutional Neural Network on FPGA., , , , , and . NPC, volume 10578 of Lecture Notes in Computer Science, page 100-111. Springer, (2017)MALMM: A multi-array architecture for large-scale matrix multiplication on FPGA., , , , and . IEICE Electron. Express, 15 (10): 20180286 (2018)Towards a Multi-array Architecture for Accelerating Large-scale Matrix Multiplication on FPGAs., , , , and . ISCAS, page 1-5. IEEE, (2018)Heterogeneous Systolic Array Architecture for Compact CNNs Hardware Accelerators., , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (11): 2860-2871 (2022)Unified Virtual Memory Support for Deep CNN Accelerator on SoC FPGA., , , , and . ICA3PP (1), volume 9528 of Lecture Notes in Computer Science, page 64-76. Springer, (2015)