Name
Affiliation
Papers
TAO TANG
School of Computer Science,National University of Defense Technology,Changsha,China
20
Collaborators
Citations 
PageRank 
39
42
7.44
Referers 
Referees 
References 
94
716
313
Search Limit
100716
Title
Citations
PageRank
Year
Parallel programming models for heterogeneous many-cores: a comprehensive survey.00.342020
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach20.372020
Auto-Tuning MPI Collective Operations on Large-Scale Parallel Systems.00.342019
Auto-tuning Streamed Applications on Intel Xeon Phi70.402018
MOCL: an efficient openCL implementation for the matrix-2000 architecture.00.342018
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach.10.352018
Orchestrating parallel detection of strongly connected components on GPUs.30.402018
High Performance Coordinate Descent Matrix Factorization for Recommender Systems.20.362017
LU factorization on heterogeneous systems: an energy-efficient approach towards high performance.40.392017
Implementing And Evaluating Opencl On An Armv8 Multi-Core Cpu10.352017
High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs.10.352017
Efficient and high-quality sparse graph coloring on GPUs.00.342017
Efficient and Portable ALS Matrix Factorization for Recommender Systems30.372017
Streaming Applications on Heterogeneous Platforms.10.342016
Evaluating Multiple Streams on Heterogeneous Platforms.20.362016
An Energy-Efficient Implementation Of Lu Factorization On Heterogeneous Systems00.342016
An Efficient Clique-Based Algorithm Of Compute Nodes Allocation For In-Memory Checkpoint System00.342015
OpenMC: Towards Simplifying Programming for TianHe Supercomputers.50.442014
Exploiting hierarchy parallelism for molecular dynamics on a petascale heterogeneous system60.472013
MIC acceleration of short-range molecular dynamics simulations40.472013