【矩阵乘法的GPU并行程序】，并画出规模和时间对比图（n=500，1000，1500，2000，3000，5000）

[{"title":"（ 39 个子文件 7.85MB ） 【矩阵乘法的GPU并行程序】，并画出规模和时间对比图（n=500，1000，1500，2000，3000，5000）","children":[{"title":"矩阵","children":[{"title":"juzhen_time.txt <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.sln <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"kernel.cu <span style='color:#111;'> 5.77KB </span>","children":null,"spread":false},{"title":".vs","children":[{"title":"CUDA 10.1 Runtime1","children":[{"title":"v16","children":[{"title":"Browse.VC.db <span style='color:#111;'> 8.11MB </span>","children":null,"spread":false},{"title":".suo <span style='color:#111;'> 43.00KB </span>","children":null,"spread":false},{"title":"ipch","children":[{"title":"AutoPCH","children":[{"title":"74d8c74eb15a1bad","children":[{"title":"KERNEL.ipch <span style='color:#111;'> 5.06MB </span>","children":null,"spread":false}],"spread":true},{"title":"a07315cbf416576d","children":[{"title":"KERNEL.ipch <span style='color:#111;'> 5.06MB </span>","children":null,"spread":false}],"spread":true},{"title":"9b18a0c100c0ba63","children":[{"title":"KERNEL.ipch <span style='color:#111;'> 5.06MB </span>","children":null,"spread":false}],"spread":true},{"title":"f3ee4b89ea8952a5","children":[{"title":"KERNEL.ipch <span style='color:#111;'> 5.06MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}],"spread":true},{"title":"x64","children":[{"title":"Debug","children":[{"title":"CUDA 10.1 Runtime1.pdb <span style='color:#111;'> 1.07MB </span>","children":null,"spread":false},{"title":"kernel.cu.cache <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"kernel.cu-136850102.deps <span style='color:#111;'> 6.88KB </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.log <span style='color:#111;'> 99B </span>","children":null,"spread":false},{"title":"CUDA 10..C6C9471B.tlog","children":[{"title":"CUDA 10.1 Runtime1.write.1u.tlog <span style='color:#111;'> 17.57KB </span>","children":null,"spread":false},{"title":"CudaCompile.write.1u.tlog <span style='color:#111;'> 128B </span>","children":null,"spread":false},{"title":"CudaCompile.read.1u.tlog <span style='color:#111;'> 13.69KB </span>","children":null,"spread":false},{"title":"link.command.1.tlog <span style='color:#111;'> 5.38KB </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.lastbuildstate <span style='color:#111;'> 159B </span>","children":null,"spread":false},{"title":"link.read.1.tlog <span style='color:#111;'> 7.55KB </span>","children":null,"spread":false},{"title":"link.write.1.tlog <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false}],"spread":true},{"title":"kernel.cu280824394.deps <span style='color:#111;'> 6.83KB </span>","children":null,"spread":false},{"title":"kernel.cu1759965465.deps <span style='color:#111;'> 6.81KB </span>","children":null,"spread":false},{"title":"vc142.pdb <span style='color:#111;'> 116.00KB </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.ilk <span style='color:#111;'> 2.21MB </span>","children":null,"spread":false},{"title":"kernel.cu.obj <span style='color:#111;'> 110.83KB </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.lib <span style='color:#111;'> 1.89KB </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.exp <span style='color:#111;'> 783B </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.vcxproj.FileListAbsolute.txt <span style='color:#111;'> 279B </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.exe <span style='color:#111;'> 594.00KB </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.exe.recipe <span style='color:#111;'> 305B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"CUDA 10.1 Runtime1.vcxproj <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":"juzhen_bing_differntType_time.txt <span style='color:#111;'> 719B </span>","children":null,"spread":false},{"title":"CUDA 10.1 Runtime1.vcxproj.user <span style='color:#111;'> 168B </span>","children":null,"spread":false},{"title":"cpp.hint <span style='color:#111;'> 225B </span>","children":null,"spread":false},{"title":"备用代码","children":[{"title":"juzhen_bing_differentType_time.cu <span style='color:#111;'> 5.76KB </span>","children":null,"spread":false},{"title":"我的矩阵备用代码.txt <span style='color:#111;'> 5.76KB </span>","children":null,"spread":false},{"title":"juzhen_chuan+bing_float.cu <span style='color:#111;'> 5.75KB </span>","children":null,"spread":false},{"title":"比较gpu在不同数据的时间.txt <span style='color:#111;'> 5.81KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"矩阵乘法的GPU并行程序.docx <span style='color:#111;'> 374.18KB </span>","children":null,"spread":false}],"spread":true}]