Shane O'Connell

According to our database, Shane O'Connell authored at least 5 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures.

Ariel Larey, Elay Dahan, Amit Bleiweiss, Raizy Kellerman, Guy Leib, Omri Nayshool, Dan Ofer, Tal Zinger, Dan Dominissini, Gideon Rechavi, Nicole Bussola, Simon Lee, Shane O'Connell, Dung Hoang, Marissa Wirth, Alexander W. Charney, Nati Daniel, Yoli Shavit

CoRR, February, 2026

2018

Harnessing Numerical Flexibility for Deep Learning on FPGAs.

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

Proceedings of the 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, 2018

DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration.

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

Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

2017

Creating High Performance Applications with Intel's FPGA OpenCL™ SDK.

Andrew C. Ling, Utku Aydonat, Shane O'Connell, Davor Capalija, Gordon R. Chiu

Proceedings of the 5th International Workshop on OpenCL, 2017

An OpenCL™ Deep Learning Accelerator on Arria 10.

Utku Aydonat, Shane O'Connell, Davor Capalija, Andrew C. Ling, Gordon R. Chiu

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017