- In this paper, the grouped scheme is specially applied to compute the fast Fourier transform (FFT) when the portions of transformed outputs are calculated selectively. The groupe...
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
To construct a large commodity clustec a hierarchical network is generally adopted for connecting the host muchines, where a Gigabit backbone switch connects a few commodity switc...
The goal of this work is to gain insight into whether processingin-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent ...
Jafar Adibi, Tim Barrett, Spundun Bhatt, Hans Chal...
Abstract. The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems. Prev...