187 citations · 513 across the 24 of their papers we have counts for
5 papers · 1 filter
Democratizing Design for Future Computing Platforms
Luis Ceze, Mark D. Hill, Karthikeyan Sankaralingam +1
Information and communications technology can continue to change our world. These advances will partially depend upon designs that synergistically combine software with specialized…
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing
Vincent T. Lee, Armin Alaghi, John P. Hayes +2
Recent advances in neural networks (NNs) exhibit unprecedented success at transforming large, unstructured data streams into compact higher-level semantic information for tasks suc…
MATIC: Learning Around Errors for Efficient Low-Voltage Neural Network Accelerators
Sung Kim, Patrick Howe, Thierry Moreau +3
As a result of the increasing demand for deep neural network (DNN)-based services, efforts to develop dedicated hardware accelerators for DNNs are growing rapidly. However,while ac…
Exploring Computation-Communication Tradeoffs in Camera Systems
Amrita Mazumdar, Thierry Moreau, Sung Kim +5
Cameras are the defacto sensor. The growing demand for real-time and low-power computer vision, coupled with trends towards high-efficiency heterogeneous systems, has given rise to…
Making data center computations fast, but not so furious
Daniel Porto, João Loff, Rui Duarte +2
We propose an aggressive computational sprinting variant for data center environments. While most of previous work on computational sprinting focuses on maximizing the sprinting pr…