While parallelism and multi-cores are receiving much attention as a major scalability path, customization is another, orthogonal and complementary, scalability path which can targ...
Sami Yehia, Sylvain Girbal, Hugues Berry, Olivier ...
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
Interactive 3D games are now widely available on a variety of mobile devices for which battery-life is a major concern. Many of these devices support voltage/frequencyscalable pro...
This paper presents a hybrid adiabatic content addressable memory (CAM). The CAM uses an adiabatic switching technique to reduce the energy consumption in the match line while kee...
Aiyappan Natarajan, David Jasinski, Wayne Burleson...
Modern digital signal processing applications have an increasing demand for computational power while needing to preserve low power dissipation and high flexibility. For many appl...
B. Neumann, Thorsten von Sydow, Holger Blume, Tobi...