This paper presents Xetal-Pro SIMD processor, which is based on Xetal-II, one of the most computational-efficient (in terms of GOPS/Watt) processors available today. XetalPro supp...
Yifan He, Yu Pu, Richard P. Kleihorst, Zhenyu Ye, ...
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...
A massively parallel single instruction multiple data stream (SIMD) processor designed specifically for cryptographic key search applications is presented. This design aims to ex...
Stanley Y. C. Li, Gap C. K. Cheuk, Kin-Hong Lee, P...
We propose an application specific processor for computational quantum chemistry. The kernel of interest is the computation of electron repulsion integrals (ERIs), which vary in c...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...