Navigating the Design Space of Reconfigurable Neural Networks Accelerators
Event details
| Date | 03.06.2015 |
| Hour | 11:00 |
| Speaker | Mario Paulo Drumond Lages De Oliveira |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam:
Exam president: Prof. James Larus
Thesis director: Prof. Babak Falsafi
Co-examiner: Prof. Paolo Ienne
Research Proposal
DaDianNao: A Machine-Learning Supercomputer by Yunji Chen, Tao Luo, Shaoli Liu et al.
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks by Chen Zhang, Peng Li, Guangyu Sun et al.
Deep learning with COTS HPC systems by Adam Coates, Brody Huval, Tao Wang et al.
Exam president: Prof. James Larus
Thesis director: Prof. Babak Falsafi
Co-examiner: Prof. Paolo Ienne
Research Proposal
DaDianNao: A Machine-Learning Supercomputer by Yunji Chen, Tao Luo, Shaoli Liu et al.
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks by Chen Zhang, Peng Li, Guangyu Sun et al.
Deep learning with COTS HPC systems by Adam Coates, Brody Huval, Tao Wang et al.
Practical information
- General public
- Free
Contact
- Evelyn Duperrex