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稀疏矩阵的ID为 1 且进程数为 1 时,程序所需要的执行时间为:0.007483005523681641 s
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稀疏矩阵的ID为 1 且进程数为 2 时,程序所需要的执行时间为:0.012877941131591797 s
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稀疏矩阵的ID为 1 且进程数为 4 时,程序所需要的执行时间为:0.01068258285522461 s
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稀疏矩阵的ID为 1 且进程数为 6 时,程序所需要的执行时间为:0.010479927062988281 s
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稀疏矩阵的ID为 1 且进程数为 10 时,程序所需要的执行时间为:0.03229808807373047 s
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稀疏矩阵的ID为 1 且进程数为 16 时,程序所需要的执行时间为:0.0629265308380127 s
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rank: 4 times: 0.029705524444580078s
rank: 3 times: 0.0016956329345703125s
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稀疏矩阵的ID为 1 且进程数为 24 时,程序所需要的执行时间为:0.0767662525177002 s
rank: 2 times: 0.041586875915527344s
rank: 6 times: 0.0628361701965332s
rank: 4 times: 0.02263188362121582s
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rank: 26 times: 0.023241758346557617s
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rank: 10 times: 0.010846614837646484s
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rank: 14 times: 0.009027242660522461s
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rank: 8 times: 0.15292930603027344s
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rank: 16 times: 0.04777812957763672s
rank: 3 times: 0.052326202392578125s
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rank: 15 times: 0.00170135498046875s
rank: 20 times: 0.009932994842529297s
rank: 19 times: 0.020801544189453125s
稀疏矩阵的ID为 1 且进程数为 32 时,程序所需要的执行时间为:0.15305781364440918 s
rank: 13 times: 0.005301475524902344s
rank: 25 times: 0.07453465461730957s
rank: 17 times: 0.005268573760986328s
rank: 29 times: 0.009820699691772461s
rank: 21 times: 0.0017490386962890625s
rank: 31 times: 0.06018972396850586s
rank: 11 times: 0.13104462623596191s
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rank: 23 times: 0.0037841796875s
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rank: 8 times: 0.04942893981933594s
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rank: 16 times: 0.2729175090789795s
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rank: 45 times: 0.08203744888305664s
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rank: 40 times: 0.04637336730957031s
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rank: 26 times: 0.10626769065856934s
rank: 19 times: 0.048305511474609375s
rank: 20 times: 0.09217238426208496s
rank: 27 times: 0.
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基于机器学习的稀疏矩阵向量乘法 (SpMV) 运算中任务粒度的自动选择模型项目源码(毕业设计&期末大作业),该项目是个人毕设项目,答辩评审分达到98分,代码都经过调试测试,确保可以运行!欢迎下载使用,可用于小白学习、进阶。该资源主要针对计算机、通信、人工智能、自动化等相关专业的学生、老师或从业者下载使用,亦可作为期末课程设计、课程大作业、毕业设计等。项目整体具有较高的学习借鉴价值!基础能力强的可以在此基础上修改调整,以实现不同的功能。 基于机器学习的稀疏矩阵向量乘法 (SpMV) 运算中任务粒度的自动选择模型项目源码(毕业设计&期末大作业),该项目是个人毕设项目,答辩评审分达到98分,代码都经过调试测试,确保可以运行!欢迎下载使用,可用于小白学习、进阶。该资源主要针对计算机、通信、人工智能、自动化等相关专业的学生、老师或从业者下载使用,亦可作为期末课程设计、课程大作业、毕业设计等。项目整体具有较高的学习借鉴价值!基础能力强的可以在此基础上修改调整,以实现不同的功能。 基于机器学习的稀疏矩阵向量乘法 (SpMV) 运算中任务粒度的自动选择模型项目源码(毕业设计&期末大作业),该项目是
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基于机器学习的稀疏矩阵向量乘法 (SpMV) 运算中任务粒度的自动选择模型项目源码(毕业设计&期末大作业) (2001个子文件)
.DS_Store 258KB
README.md 2KB
注意事项.md 867B
0-README.md 145B
README.md 55B
ML.py 4KB
many_matrix_dif_process.py 3KB
mpi-ml.py 3KB
obtain_process_min_time.py 2KB
obtian_matrix_features.py 2KB
one_matrix_dif_process.py 2KB
2-find_file.py 909B
data_integration.py 736B
3-decompression.py 656B
1_download_matrix.py 539B
0_obtain_matrix_information.py 439B
spmv_mpi.py 396B
outfile.py 364B
create_random.py 346B
submit_1.sh 3KB
submit_2.sh 3KB
log.txt 23.16MB
log_1.txt 11.6MB
log_2.txt 11.59MB
MISKnowledgeMap_Label.txt 213KB
MISKnowledgeMap_Authors.txt 102KB
MISKnowledgeMap_Source.txt 81KB
MISKnowledgeMap_Abstract_1775.txt 3KB
MISKnowledgeMap_Abstract_438.txt 3KB
MISKnowledgeMap_Abstract_1525.txt 3KB
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MISKnowledgeMap_Abstract_689.txt 2KB
MISKnowledgeMap_Abstract_466.txt 2KB
MISKnowledgeMap_Abstract_229.txt 2KB
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MISKnowledgeMap_Abstract_1064.txt 2KB
MISKnowledgeMap_Abstract_158.txt 2KB
MISKnowledgeMap_Abstract_757.txt 2KB
MISKnowledgeMap_Abstract_649.txt 2KB
MISKnowledgeMap_Abstract_1511.txt 2KB
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MISKnowledgeMap_Abstract_169.txt 2KB
共 2001 条
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