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Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks., , , and . CoRR, (2017)Deep neural networks compiler for a trace-based accelerator., , , , and . J. Syst. Archit., (2020)Deep neural networks compiler for a trace-based accelerator (short WIP paper)., , , and . LCTES, page 89-93. ACM, (2018)Efficient Compiler Code Generation for Deep Learning Snowflake Co-Processor., , and . EMC2@ASPLOS, page 24-28. IEEE, (2018)A High Efficiency Accelerator for Deep Neural Networks., , , and . EMC2@ASPLOS, page 9-13. IEEE, (2018)Compiling Deep Learning Models for Custom Hardware Accelerators., , , and . CoRR, (2017)Snowflake: An efficient hardware accelerator for convolutional neural networks., , , and . ISCAS, page 1-4. IEEE, (2017)Hardware accelerators for recurrent neural networks on FPGA, and . Circuits and Systems (ISCAS), 2017 IEEE International Symposium on, page 1--4. IEEE, (2017)Recurrent Neural Networks Hardware Implementation on FPGA., , and . CoRR, (2015)Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array., , , , , , , , and . CoRR, (2022)