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Performance characterization of the NAS Parallel Benchmarks in OpenCL., , и . IISWC, стр. 137-148. IEEE Computer Society, (2011)POSTER: MAPA: An Automatic Memory Access Pattern Analyzer for GPU Applications., , , и . PPoPP, стр. 443-444. ACM, (2017)Automatic OpenCL work-group size selection for multicore CPUs., , , и . PACT, стр. 387-397. IEEE Computer Society, (2013)Memory-Access-Pattern Analysis Techniques for OpenCL Kernels., , , и . LCPC, том 11403 из Lecture Notes in Computer Science, стр. 109-126. Springer, (2017)OpenCL as a unified programming model for heterogeneous CPU/GPU clusters., , , , , и . PPoPP, стр. 299-300. ACM, (2012)SnuRHAC: A Runtime for Heterogeneous Accelerator Clusters with CUDA Unified Memory., , , , и . HPDC, стр. 107-120. ACM, (2021)OpenCL as a Programming Model for GPU Clusters., , , , , и . LCPC, том 7146 из Lecture Notes in Computer Science, стр. 76-90. Springer, (2011)SOFF: An OpenCL High-Level Synthesis Framework for FPGAs., , , и . ISCA, стр. 295-308. IEEE, (2020)SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters., , , , , и . ICS, стр. 341-352. ACM, (2012)PIPSEA: A Practical IPsec Gateway on Embedded APUs., , , , и . ACM Conference on Computer and Communications Security, стр. 1255-1267. ACM, (2016)