The polyhedral model is known to be a powerful framework to reason about high level loop transformations. Recent developments in optimizing compilers broke some generally accepted ...
— A reduced complexity LDPC decoding method is presented that dramatically reduces wire interconnect complexity, which is a major issue in LDPC decoders. The proposed Split-Row m...
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
A programmable parallel digital signal processor (DSP) core for embedded applications is presented which combines the concepts of single instruction stream over multiple data stre...
Liang Han, Jie Chen, Chaoxian Zhou, Ying Li, Xin Z...
Background: Many of the most popular pre-processing methods for Affymetrix expression arrays, such as RMA, gcRMA, and PLIER, simultaneously analyze data across a set of predetermi...
Simon Katz, Rafael A. Irizarry, Xue Lin, Mark Trip...