CuSha
所属分类：GPU/显卡
开发工具：Cuda
文件大小：22KB
下载次数：0
上传日期：2015-11-17 23:27:43
上 传 者：
sh-1993
说明： CuSha是一个基于CUDA的顶点中心图处理框架，使用G-Shards和CW表示。
(CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.)
文件列表:
LICENSE (1082, 2015-11-18)
common (0, 2015-11-18)
common\cuda_error_check.cuh (527, 2015-11-18)
common\cuda_utilities.cuh (2241, 2015-11-18)
common\globals.hpp (290, 2015-11-18)
common\initial_graph.hpp (415, 2015-11-18)
common\parse_graph.cpp (2986, 2015-11-18)
common\parse_graph.hpp (288, 2015-11-18)
common\simpleTime.cu (361, 2015-11-18)
common\simpleTime.cuh (104, 2015-11-18)
common\user_specified_device_functions.cuh (5542, 2015-11-18)
common\user_specified_global_configurations.h (798, 2015-11-18)
common\user_specified_pre_and_post_processing_functions.hpp (2648, 2015-11-18)
common\user_specified_structures.h (712, 2015-11-18)
csr_src (0, 2015-11-18)
csr_src\csr_format.cu (4725, 2015-11-18)
csr_src\csr_format.cuh (382, 2015-11-18)
csr_src\vwc_process.cu (5079, 2015-11-18)
csr_src\vwc_process.cuh (355, 2015-11-18)
cusha_src (0, 2015-11-18)
cusha_src\cusha_format.cu (9261, 2015-11-18)
cusha_src\cusha_format.cuh (426, 2015-11-18)
cusha_src\cusha_process.cu (4716, 2015-11-18)
cusha_src\cusha_process.cuh (621, 2015-11-18)
cusha_src\find_block_size.cu (2397, 2015-11-18)
cusha_src\find_block_size.cuh (579, 2015-11-18)
entry_point.cu (4923, 2015-11-18)
sfBuild.sh (216, 2015-11-18)
#
CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and Concatenated Windows (CW) representations to store graphs inside the GPU global memory. G-Shards and CW consume more space compared to Compressed Sparse Row (CSR) format but on the other hand provide better performance due to GPU-friendly representations. For completeness, provided package also includes Virtual Warp-Centric (VWC) processing method for GPU that uses CSR representation.
[ [Paper](http://www.cs.ucr.edu/~fkhor001/index.html#publications) ] -- [ [Slides](http://www.cs.ucr.edu/~fkhor001/CuSha/CuSha_Slides.pptx) ] -- [ [Requirements and Usage](http://farkhor.github.io/CuSha/) ]
#####Acknowledgements#####
This work is supported by National Science Foundation grants CCF-1157377 and CCF-0905509 to UC Riverside.
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