Duncan J. M. Moss

◀ ▶ joint publications with Suchit Subhaschandra

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Publications

2018
[c11]
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Duncan J. M. Moss, Krishnan Srivatsan, Eriko Nurvitadhi, Piotr Ratuszniak, Chris Johnson, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong:
A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. FPGA 2018: 107-116
2017
[c8]
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  - electronic edition @ acm.org
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Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra, Guy Boudoukh:
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA 2017: 5-14
[c7]
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Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong:
High performance binary neural networks on the Xeon+FPGA™ platform. FPL 2017: 1-4
[c6]
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  - conf/fpt/YingerNCLMSMS17
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Jack Yinger, Eriko Nurvitadhi, Davor Capalija, Andrew C. Ling, Debbie Marr, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra:
Customizable FPGA OpenCL matrix multiply design template for deep neural networks. FPT 2017: 259-262

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