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Heterogeneous Computing Meets Near-Memory Acceleration and High-Level Synthesis in the Post-Moore Era., , , and . IEEE Micro, 37 (4): 10-18 (2017)An efficient GPU implementation and scaling for higher-order 3D stencils., , , and . Inf. Sci., (2022)FCUDA-HB: Hierarchical and Scalable Bus Architecture Generation on FPGAs With the FCUDA Flow., , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (12): 2032-2045 (2016)CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs., , , , , , , , , and 3 other author(s). CoRR, (2023)PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks., , , , , , and . CoRR, (2023)PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses., , , , , , , and . CoRR, (2021)Adaptive Cache Bypass and Insertion for Many-core Accelerators., , , , , , and . MES, page 1-8. ACM, (2014)High-throughput Ant Colony Optimization on graphics processing units., , , , , and . J. Parallel Distributed Comput., (2018)What is ahead for parallel computing.. J. Parallel Distributed Comput., 74 (7): 2574-2581 (2014)Toward Application-Aware Security and Reliability., , , , , , and . IEEE Secur. Priv., 5 (1): 57-62 (2007)