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Flexibility: FPGAs and CAD in Deep Learning Acceleration.

, , , , и . ISPD, стр. 34-41. ACM, (2018)

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Andrew C Brunson

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Andrew C Rouse

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Paul Ling

 

Другие публикации лиц с тем же именем

Harnessing Numerical Flexibility for Deep Learning on FPGAs., , , , , , , , , и 1 other автор(ы). HEART, стр. 1:1-1:3. ACM, (2018)BddCut: Towards Scalable Symbolic Cut Enumeration., , и . ASP-DAC, стр. 408-413. IEEE Computer Society, (2007)Harnessing the Power of FPGAs with the Intel FPGA SDK for OpenCL™., , и . IWOCL, стр. 19:1. ACM, (2017)DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration., , , , , , , , , и 1 other автор(ы). FPL, стр. 411-418. IEEE Computer Society, (2018)In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC., , , , , , , , , и 1 other автор(ы). FPL, стр. 106-110. IEEE Computer Society, (2018)An OpenCL™ Deep Learning Accelerator on Arria 10., , , , и . FPGA, стр. 55-64. ACM, (2017)Harnessing the power of FPGAs using altera's OpenCL compiler., , и . FPGA, стр. 5-6. ACM, (2013)FPGA technology mapping: a study of optimality., , и . DAC, стр. 427-432. ACM, (2005)Creating High Performance Applications with Intel's FPGA OpenCL™ SDK., , , , и . IWOCL, стр. 11:1. ACM, (2017)In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only)., , , , , , , , , и 1 other автор(ы). FPGA, стр. 287. ACM, (2018)