| Maximizing CNN accelerator efficiency through resource partitioning Y Shen, M Ferdman, P Milder 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture …, 2017 | 382 | 2017 |
| Escher: A CNN accelerator with flexible buffering to minimize off-chip transfer Y Shen, M Ferdman, P Milder 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 113 | 2017 |
| Demystifying cloud benchmarking T Palit, Y Shen, M Ferdman 2016 IEEE international symposium on performance analysis of systems and …, 2016 | 83 | 2016 |
| Overcoming resource underutilization in spatial CNN accelerators Y Shen, M Ferdman, P Milder 2016 26th International Conference on Field Programmable Logic and …, 2016 | 60 | 2016 |
| Architectural support for dynamic linking V Agrawal, A Dabral, T Palit, Y Shen, M Ferdman Proceedings of the Twentieth International Conference on Architectural …, 2015 | 20 | 2015 |
| Argus: An end-to-end framework for accelerating CNNs on FPGAs Y Shen, T Ji, M Ferdman, P Milder IEEE Micro 39 (5), 17-25, 2019 | 10 | 2019 |
| Medusa: A scalable interconnect for many-port DNN accelerators and wide DRAM controller interfaces Y Shen, T Ji, M Ferdman, P Milder 2018 28th International Conference on Field Programmable Logic and …, 2018 | 3 | 2018 |
| The Argus FPGA-Based CNN Accelerator Generator Y Shen State University of New York at Stony Brook, 2021 | | 2021 |
| Temporal Stream Branch Predictor Y Shen, M Ferdman JWAC-4: championship branch prediction workshop (in conjunction with ISCA'14), 2014 | | 2014 |
Michael FerdmanStony Brook UniversityVerified email at cs.stonybrook.edu
