Results 141 to 150 of about 1,012 (185)
Some of the next articles are maybe not open access.
2016
Usage of General Purpose Graphics Processing Units (GPGPUs) in high-performance computing is increasing as heterogeneous systems continue to become dominant. CUDA had been the programming environment for nearly all such NVIDIA GPU based GPGPU applications.
Mayank Bhura +2 more
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Usage of General Purpose Graphics Processing Units (GPGPUs) in high-performance computing is increasing as heterogeneous systems continue to become dominant. CUDA had been the programming environment for nearly all such NVIDIA GPU based GPGPU applications.
Mayank Bhura +2 more
openaire +1 more source
MASA‐OpenCL: Parallel pruned comparison of long DNA sequences with OpenCL
Concurrency and Computation: Practice and Experience, 2018SummaryBiological sequence comparison is often used as an auxiliary task in the analysis of genetic material. Pairwise comparison algorithms like Smith‐Waterman evaluate two strings representing sequences of proteins, DNA or RNA to obtain optimal alignment between them.
Marco Antonio C. de Figueiredo +4 more
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Proceedings of the 27th international ACM conference on International conference on supercomputing, 2013
GPGPU can boost the performance significantly for many compute intensive tasks. However, in datacenter scenarios, not all the applications need GPGPU. Thus, it is not necessary to equip GPGPU in each node considering its high price and infrequent usage demands.
Cong Wang, Tao Jiang 0010, Rui Hou 0001
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GPGPU can boost the performance significantly for many compute intensive tasks. However, in datacenter scenarios, not all the applications need GPGPU. Thus, it is not necessary to equip GPGPU in each node considering its high price and infrequent usage demands.
Cong Wang, Tao Jiang 0010, Rui Hou 0001
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Exploring the features of OpenCL 2.0
Proceedings of the 3rd International Workshop on OpenCL - IWOCL '15, 2015The growth in demand for heterogeneous accelerators has stimulated the development of cutting-edge features in newer accelerators. The heterogeneous programming frameworks such as OpenCL have matured over the years and have introduced new software features for developers. We explore one of these programming frameworks, OpenCL 2.0.
Saoni Mukherjee +7 more
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Acceleration of AES Encryption with OpenCL
2014 Ninth Asia Joint Conference on Information Security, 2014The occurrence of multi-core processors has made parallel techniques popular. OpenCL, enabling access to the computing power of multi-platforms, taking advantage of the parallel feature of computing devices, gradually obtains researchers' favor. However, when using parallel techniques, which computation granularity and memory allocation strategies to ...
Yuheng Yuan +3 more
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2018
This chapter focuses on OpenCL, which is the most popular Graphics Processing Unit (GPU) programming language, excluding Compute-Unified Device Architecture (CUDA). It examines how OpenCL simplifies writing multiplatform parallel programs. OpenCL was released in 2009 by the Khronos Group as a framework for writing parallel programs on many different ...
Chase Conklin, Tolga Soyata
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This chapter focuses on OpenCL, which is the most popular Graphics Processing Unit (GPU) programming language, excluding Compute-Unified Device Architecture (CUDA). It examines how OpenCL simplifies writing multiplatform parallel programs. OpenCL was released in 2009 by the Khronos Group as a framework for writing parallel programs on many different ...
Chase Conklin, Tolga Soyata
openaire +1 more source
2019
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