45 citations · 62 across the 10 of their papers we have counts for
5 papers · 1 filter
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations
Yongchao Liu, Yue Jin, Yong Chen +4
Accelerating deep model training and inference is crucial in practice. Existing deep learning frameworks usually concentrate on optimizing training speed and pay fewer attentions t…
Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors
Yongchao Liu, Tony Pan, Oded Green +1
Pairwise association measure is an important operation in data analytics. Kendall's tau coefficient is one widely used correlation coefficient identifying non-linear relationships…
Parallel Pairwise Correlation Computation On Intel Xeon Phi Clusters
Yongchao Liu, Tony Pan, Srinivas Aluru
Co-expression network is a critical technique for the identification of inter-gene interactions, which usually relies on all-pairs correlation (or similar measure) computation betw…
LightScan: Faster Scan Primitive on CUDA Compatible Manycore Processors
Yongchao Liu, Srinivas Aluru
Scan (or prefix sum) is a fundamental and widely used primitive in parallel computing. In this paper, we present LightScan, a faster parallel scan primitive for CUDA-enabled GPUs,…
SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors
Yongchao Liu, Bertil Schmidt
The maximal sensitivity of the Smith-Waterman (SW) algorithm has enabled its wide use in biological sequence database search. Unfortunately, the high sensitivity comes at the expen…