Hardware Neural Network Accelerators

GOAL

TBD

STATUS
PEOPLE
Prof. Olivier Temam, INRIA, France
PUBLICATIONS
  1. O.Temam, S. Fang, etc: “Performance Portability Across Heterogeneous Multi-cores Using a Generalized Library-Based Approach”, to appear in ACM TACO
  2. O. Temam, Z. Du, etc: “Leveraging the Error Resilience of Machine¬Learning Applications for Designing Highly Energy Efficient Accelerators”, Asia and South Pacific Design Automation Conference (ASP¬DAC), January 2014
  3. O. Temam, T. Chen etc O. (2014). “A Small-Footprint High¬Throughput Accelerator for Ubiquitous Machine¬Learning”. In International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2014