Shane O'Connell

Publication Activity (10 Years)

Years Active: 2017-2018
Publications (10 Years): 6

Top Topics

Weakly Supervised

Unsupervised Feature Learning

Probabilistic Inference

Top Venues

Publications

Andrew C. Ling, Mohamed S. Abdelfattah, Shane O'Connell, Andrew Bitar, David Han, Roberto DiCecco, Suchit Subhaschandra, Chris N. Johnson, Dmitry Denisenko, Joshua Fender, Gordon R. Chiu
Harnessing Numerical Flexibility for Deep Learning on FPGAs. HEART (2018)
Mohamed S. Abdelfattah, David Han, Andrew Bitar, Roberto DiCecco, Shane O'Connell, Nitika Shanker, Joseph Chu, Ian Prins, Joshua Fender, Andrew C. Ling, Gordon R. Chiu
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration. CoRR (2018)
Mohamed S. Abdelfattah, David Han, Andrew Bitar, Roberto DiCecco, Shane O'Connell, Nitika Shanker, Joseph Chu, Ian Prins, Joshua Fender, Andrew C. Ling, Gordon R. Chiu
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration. FPL (2018)
Andrew C. Ling, Utku Aydonat, Shane O'Connell, Davor Capalija, Gordon R. Chiu
Creating High Performance Applications with Intel's FPGA OpenCL™ SDK. IWOCL (2017)
Utku Aydonat, Shane O'Connell, Davor Capalija, Andrew C. Ling, Gordon R. Chiu
An OpenCL™ Deep Learning Accelerator on Arria 10. FPGA (2017)
Utku Aydonat, Shane O'Connell, Davor Capalija, Andrew C. Ling, Gordon R. Chiu
An OpenCL(TM) Deep Learning Accelerator on Arria 10. CoRR (2017)