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Evaluating The Highly-Pipelined Intel Stratix 10 FPGA Architecture Using Open-Source Benchmarks., , , и . FPT, стр. 206-213. IEEE, (2018)Artisan: a Meta-Programming Approach For Codifying Optimisation Strategies., , , , и . FCCM, стр. 177-185. IEEE, (2020)Fast hierarchical implementation of sequential tree-reweighted belief propagation for probabilistic inference., , , , и . FPL, стр. 1-8. IEEE, (2015)Programmable Automotive Headlights., , , , , , и . ECCV (4), том 8692 из Lecture Notes in Computer Science, стр. 750-765. Springer, (2014)Design, implementation, and verification of active cache emulator (ACE)., , и . FPGA, стр. 63-72. ACM, (2006)Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs: (Abstract Only)., , , , , и . FPGA, стр. 294. ACM, (2018)Automatic Pipelining From Transactional Datapath Specifications., , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 30 (3): 441-454 (2011)Scalable Multi-FPGA Acceleration for Large RNNs with Full Parallelism Levels., , , , и . DAC, стр. 1-6. IEEE, (2020)Specializing for Efficiency: Customizing AI Inference Processors on FPGAs., , и . ICM, стр. 62-65. IEEE, (2021)A Study of Pointer-Chasing Performance on Shared-Memory Processor-FPGA Systems., , , , , и . FPGA, стр. 264-273. ACM, (2016)