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Exploring FPGA-specific Optimizations for Irregular OpenCL Applications., , , , и . ReConFig, стр. 1-8. IEEE, (2018)ALTO: adaptive linearized storage of sparse tensors., , , , , , и . ICS, стр. 404-416. ACM, (2021)MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters., , и . SC, стр. 119-129. IEEE Computer Society, (2016)CommAnalyzer: automated estimation of communication cost and scalability on HPC clusters from sequential code., , , и . HPDC, стр. 80-91. ACM, (2018)Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing.. Virginia Tech, Blacksburg, VA, USA, (2020)base-search.net (ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/96607).AutoMatch: An automated framework for relative performance estimation and workload distribution on heterogeneous HPC systems., , , и . IISWC, стр. 32-42. IEEE Computer Society, (2017)Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs., , , и . FCCM, стр. 198. IEEE Computer Society, (2016)A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation., , и . ReConFig, стр. 1-8. IEEE, (2018)Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation., , , , , , , , , и . CoRR, (2024)High Performance Sparse LU Solver FPGA Accelerator Using a Static Synchronous Data Flow Model., , и . FCCM, стр. 29. IEEE Computer Society, (2015)