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[Coursera] Heterogeneous Parallel Programming by Wen-mei W. Hwu
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2016-12-25 09:30
2024-8-15 12:15
205
1.67 GB
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相关链接
Coursera
Heterogeneous
Parallel
Programming
by
Wen-mei
W
Hwu
文件列表
01_Week_1/01_Personify_1.1-_Course_Overview.mp4
25.74MB
01_Week_1/02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp4
17.75MB
01_Week_1/03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp4
9.59MB
01_Week_1/04_Personify_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp4
27.09MB
01_Week_1/05_Personify_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp4
24.48MB
01_Week_1/06_Personify_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp4
24.23MB
01_Week_1/07_Personify_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp4
21.69MB
01_Week_1/08_Personify_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp4
21.74MB
01_Week_1/09_Boxed_1.1-_Course_Overview.mp4
22.34MB
01_Week_1/10_Boxed_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp4
16.19MB
01_Week_1/11_Boxed_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp4
8.47MB
01_Week_1/12_Boxed_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp4
22.68MB
01_Week_1/13_Boxed_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp4
19.41MB
01_Week_1/14_Boxed_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp4
19.14MB
01_Week_1/15_Boxed_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp4
17.28MB
01_Week_1/16_Boxed_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp4
17.07MB
02_Week_2/01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp4
25.53MB
02_Week_2/02_Personify_2.2-_Control_Divergence.mp4
19.83MB
02_Week_2/03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp4
28.91MB
02_Week_2/04_Personify_2.4-_Tiled_Parallel_Algorithms.mp4
25MB
02_Week_2/05_Personify_2.5-_Tiled_Matrix_Multiplication.mp4
25.8MB
02_Week_2/06_Personify_2.6-_Tiled_Matrix_Multiplication_Kernel.mp4
36.16MB
02_Week_2/07_Personify_2.7-_Handling_Boundary_Conditions_in_Tiling.mp4
17.92MB
02_Week_2/08_Personify_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp4
21.44MB
02_Week_2/09_Boxed_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp4
19.38MB
02_Week_2/10_Boxed_2.2-_Control_Divergence.mp4
14.55MB
02_Week_2/11_Boxed_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp4
21.62MB
02_Week_2/12_Boxed_2.4-_Tiled_Parallel_Algorithms.mp4
18.87MB
02_Week_2/13_Boxed_2.5-_Tiled_Matrix_Multiplication.mp4
19.19MB
02_Week_2/14_Boxed_2.6-_Tiled_Matrix_Multiplication_Kernel.mp4
27.17MB
02_Week_2/15_Boxed_2.7-_Handling_Boundary_Conditions_in_Tiling.mp4
13.54MB
02_Week_2/16_Boxed_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp4
15.79MB
03_Week_3/01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp4
29.54MB
03_Week_3/02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp4
22.72MB
03_Week_3/03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.mp4
21.08MB
03_Week_3/04_Personify_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp4
24.91MB
03_Week_3/05_Personify_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp4
25.29MB
03_Week_3/06_Personify_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp4
31.55MB
03_Week_3/07_Boxed_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp4
21.85MB
03_Week_3/08_Boxed_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp4
17.03MB
03_Week_3/09_Boxed_3.3-_Parallel_Computation_Patterns_-_Convolution.mp4
15.49MB
03_Week_3/10_Boxed_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp4
17.92MB
03_Week_3/11_Boxed_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp4
18.88MB
03_Week_3/12_Boxed_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp4
22.37MB
04_Week_4/01_4.1-_Parallel_Computation_Patterns_-_Reduction.mp4
31.08MB
04_Week_4/02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.mp4
25.07MB
04_Week_4/03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.mp4
19.99MB
04_Week_4/04_4.4-_Parallel_Computation_Patterns_-_Scan.mp4
26.97MB
04_Week_4/05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.mp4
38.49MB
04_Week_4/06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.mp4
37.88MB
04_Week_4/07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.mp4
39.84MB
05_Week_5/01_5.1-_Parallel_Computation_Patterns_-_Histogramming.mp4
22.23MB
05_Week_5/02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.mp4
22.12MB
05_Week_5/03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.mp4
30.7MB
05_Week_5/04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.mp4
27.71MB
05_Week_5/05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.mp4
23.27MB
06_Week_6/01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.mp4
38.08MB
06_Week_6/02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.mp4
33.18MB
06_Week_6/03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.mp4
40.95MB
07_Week_7/01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.mp4
24.58MB
07_Week_7/02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.mp4
19.08MB
07_Week_7/03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.mp4
39.59MB
07_Week_7/04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code.mp4
24.33MB
07_Week_7/05_7.5-_Related_Programming_Models_-_OpenACC.mp4
28.13MB
07_Week_7/06_7.6-_Related_Programming_Models_-_OpenACC_Details.mp4
27.45MB
08_Week_8/01_8.1-_Related_Parallel_Models_-_C_AMP.mp4
28.81MB
08_Week_8/02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.mp4
41.06MB
08_Week_8/03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.mp4
48.88MB
08_Week_8/04_8.4-_Conclusions_and_Future_Directions.mp4
40.04MB
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