18 Papers
77 Citations
Yaobin Wang is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Speedup. The author has an hindex of 4, co-authored 11 publications. Previous affiliations of Yaobin Wang include Southwest University of Science and Technology.
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Papers
A Program Behavior Study of Block Cryptography Algorithms on GPGPU
Gu Liu,Hong An,Wenting Han,Guang Xu,Ping Yao,Mu Xu,Xiurui Hao,Yaobin Wang +7 more
- 17 Dec 2009
TL;DR: This paper presents a study of several block encryption algorithms (AES, TRI-DES, RC5, TWOFISH and the chained block cipher formed by their combinations) processing on GPU using CUDA, and investigates the program behavioral characteristics and their impacts on the performance in four aspects.
21
CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application
Ping Yao,Hong An,Mu Xu,Gu Liu,Xiaoqiang Li,Yaobin Wang,Wenting Han +6 more
- 12 Aug 2010
TL;DR: A new CPU-GPU cooperative pattern for bioinformatics applications which can use both of CPU and GPU to compute is presented which could also outperform the traditional CUDA implementations which use CPU-control-GPU-compute pattern.
18
LogSPoTM: a scalable thread level speculation model based on transactional memory
Rui Guo,Hong An,Ruiling Dou,Ming Cong,Yaobin Wang,Qi Li +5 more
- 16 Sep 2008
TL;DR: A low-design-complexity approach to effective unified support for both TLS & TM, by extending a scalable TM model to support TLS, which provides rich semantics of both TLS and TM to programmers.
15
Balancing thread partition for efficiently exploiting speculative thread-level parallelism
Yaobin Wang,Hong An,Bo Liang,Li Wang,Ming Cong,Yongqing Ren +5 more
- 22 Nov 2007
TL;DR: A criterion for selecting the region to be speculatively executed is presented to identify potential sources of speculative parallelism in general-purpose programs and a dynamic profiling method has been provided to search a large space of TLS parallelization schemes and where parallelism was located within the application.
11
Investigation of Factors Impacting Thread-Level Parallelism from Desktop, Multimedia and HPC Applications
Yaobin Wang,Hong An,Jie Yan,Qi Li,Wenting Han,Li Wang,Gu Liu +6 more
- 17 Dec 2009
TL;DR: This paper proposes a criterion for selecting the region to be executed in parallel and analyzes applications' performance impacting factors (computation, coverage parallelism, thread size, inter-thread control dependence feature and inter- thread data dependence feature) by the dynamic profiling tool set by demonstrating different speedup potentials.
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