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种子名称： [Coursera] Heterogeneous Parallel Programming by Wen-mei W. Hwu
文件类型： 视频
文件数目： 69个文件
文件大小： 1.67 GB
收录时间： 2016-12-25 09:30
已经下载： 3次
资源热度： 192
最近下载： 2024-6-4 00:16

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[Coursera] Heterogeneous Parallel Programming by Wen-mei W. Hwu.torrent

01_Week_1/01_Personify_1.1-_Course_Overview.mp425.74MB

01_Week_1/02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp417.75MB

01_Week_1/03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp49.59MB

01_Week_1/04_Personify_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp427.09MB

01_Week_1/05_Personify_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp424.48MB

01_Week_1/06_Personify_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp424.23MB

01_Week_1/07_Personify_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp421.69MB

01_Week_1/08_Personify_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp421.74MB

01_Week_1/09_Boxed_1.1-_Course_Overview.mp422.34MB

01_Week_1/10_Boxed_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp416.19MB

01_Week_1/11_Boxed_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp48.47MB

01_Week_1/12_Boxed_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp422.68MB

01_Week_1/13_Boxed_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp419.41MB

01_Week_1/14_Boxed_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp419.14MB

01_Week_1/15_Boxed_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp417.28MB

01_Week_1/16_Boxed_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp417.07MB

02_Week_2/01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp425.53MB

02_Week_2/02_Personify_2.2-_Control_Divergence.mp419.83MB

02_Week_2/03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp428.91MB

02_Week_2/04_Personify_2.4-_Tiled_Parallel_Algorithms.mp425MB

02_Week_2/05_Personify_2.5-_Tiled_Matrix_Multiplication.mp425.8MB

02_Week_2/06_Personify_2.6-_Tiled_Matrix_Multiplication_Kernel.mp436.16MB

02_Week_2/07_Personify_2.7-_Handling_Boundary_Conditions_in_Tiling.mp417.92MB

02_Week_2/08_Personify_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp421.44MB

02_Week_2/09_Boxed_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp419.38MB

02_Week_2/10_Boxed_2.2-_Control_Divergence.mp414.55MB

02_Week_2/11_Boxed_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp421.62MB

02_Week_2/12_Boxed_2.4-_Tiled_Parallel_Algorithms.mp418.87MB

02_Week_2/13_Boxed_2.5-_Tiled_Matrix_Multiplication.mp419.19MB

02_Week_2/14_Boxed_2.6-_Tiled_Matrix_Multiplication_Kernel.mp427.17MB

02_Week_2/15_Boxed_2.7-_Handling_Boundary_Conditions_in_Tiling.mp413.54MB

02_Week_2/16_Boxed_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp415.79MB

03_Week_3/01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp429.54MB

03_Week_3/02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp422.72MB

03_Week_3/03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.mp421.08MB

03_Week_3/04_Personify_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp424.91MB

03_Week_3/05_Personify_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp425.29MB

03_Week_3/06_Personify_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp431.55MB

03_Week_3/07_Boxed_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp421.85MB

03_Week_3/08_Boxed_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp417.03MB

03_Week_3/09_Boxed_3.3-_Parallel_Computation_Patterns_-_Convolution.mp415.49MB

03_Week_3/10_Boxed_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp417.92MB

03_Week_3/11_Boxed_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp418.88MB

03_Week_3/12_Boxed_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp422.37MB

04_Week_4/01_4.1-_Parallel_Computation_Patterns_-_Reduction.mp431.08MB

04_Week_4/02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.mp425.07MB

04_Week_4/03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.mp419.99MB

04_Week_4/04_4.4-_Parallel_Computation_Patterns_-_Scan.mp426.97MB

04_Week_4/05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.mp438.49MB

04_Week_4/06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.mp437.88MB

04_Week_4/07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.mp439.84MB

05_Week_5/01_5.1-_Parallel_Computation_Patterns_-_Histogramming.mp422.23MB

05_Week_5/02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.mp422.12MB

05_Week_5/03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.mp430.7MB

05_Week_5/04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.mp427.71MB

05_Week_5/05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.mp423.27MB

06_Week_6/01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.mp438.08MB

06_Week_6/02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.mp433.18MB

06_Week_6/03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.mp440.95MB

07_Week_7/01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.mp424.58MB

07_Week_7/02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.mp419.08MB

07_Week_7/03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.mp439.59MB

07_Week_7/04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code.mp424.33MB

07_Week_7/05_7.5-_Related_Programming_Models_-_OpenACC.mp428.13MB

07_Week_7/06_7.6-_Related_Programming_Models_-_OpenACC_Details.mp427.45MB

08_Week_8/01_8.1-_Related_Parallel_Models_-_C_AMP.mp428.81MB

08_Week_8/02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.mp441.06MB

08_Week_8/03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.mp448.88MB

08_Week_8/04_8.4-_Conclusions_and_Future_Directions.mp440.04MB