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[Coursera] Heterogeneous Parallel Programming by Wen-mei W Hwu
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Name:[Coursera] Heterogeneous Parallel Programming by Wen-mei W Hwu
Infohash: 9F86D5763F4145D89894482D39BEA2715E178386
Total Size: 1.70 GB
Magnet: Magnet Download
Seeds: 0
Leechers: 0
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-12-02 07:24:15 (Update Now)
Torrent added: 2016-01-09 17:32:05
Torrent Files List
01_Week_1 (Size: 1.70 GB) (Files: 277)
01_Week_1
01_Personify_1.1-_Course_Overview.mp4
01_Personify_1.1-_Course_Overview.pdf
01_Personify_1.1-_Course_Overview.srt
01_Personify_1.1-_Course_Overview.txt
02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp4
02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.pdf
02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.srt
02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.txt
03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp4
03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.pdf
03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.srt
03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.txt
04_Personify_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp4
04_Personify_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.pdf
04_Personify_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.srt
04_Personify_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.txt
05_Personify_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp4
05_Personify_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.pdf
05_Personify_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.srt
05_Personify_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.txt
06_Personify_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp4
06_Personify_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.pdf
06_Personify_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.srt
06_Personify_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.txt
07_Personify_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp4
07_Personify_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.pdf
07_Personify_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.srt
07_Personify_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.txt
08_Personify_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp4
08_Personify_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.pdf
08_Personify_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.srt
08_Personify_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.txt
09_Boxed_1.1-_Course_Overview.mp4
09_Boxed_1.1-_Course_Overview.pdf
09_Boxed_1.1-_Course_Overview.srt
09_Boxed_1.1-_Course_Overview.txt
10_Boxed_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp4
10_Boxed_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.pdf
10_Boxed_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.srt
10_Boxed_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.txt
11_Boxed_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp4
11_Boxed_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.pdf
11_Boxed_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.srt
11_Boxed_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.txt
12_Boxed_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp4
12_Boxed_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.pdf
12_Boxed_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.srt
12_Boxed_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.txt
13_Boxed_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp4
13_Boxed_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.pdf
13_Boxed_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.srt
13_Boxed_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.txt
14_Boxed_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp4
14_Boxed_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.pdf
14_Boxed_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.srt
14_Boxed_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.txt
15_Boxed_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp4
15_Boxed_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.pdf
15_Boxed_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.srt
15_Boxed_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.txt
16_Boxed_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp4
16_Boxed_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.pdf
16_Boxed_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.srt
16_Boxed_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.txt
02_Week_2
01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp4
01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.pdf
01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.srt
01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.txt
02_Personify_2.2-_Control_Divergence.mp4
02_Personify_2.2-_Control_Divergence.pdf
02_Personify_2.2-_Control_Divergence.srt
02_Personify_2.2-_Control_Divergence.txt
03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp4
03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.pdf
03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.srt
03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.txt
04_Personify_2.4-_Tiled_Parallel_Algorithms.mp4
04_Personify_2.4-_Tiled_Parallel_Algorithms.pdf
04_Personify_2.4-_Tiled_Parallel_Algorithms.srt
04_Personify_2.4-_Tiled_Parallel_Algorithms.txt
05_Personify_2.5-_Tiled_Matrix_Multiplication.mp4
05_Personify_2.5-_Tiled_Matrix_Multiplication.pdf
05_Personify_2.5-_Tiled_Matrix_Multiplication.srt
05_Personify_2.5-_Tiled_Matrix_Multiplication.txt
06_Personify_2.6-_Tiled_Matrix_Multiplication_Kernel.mp4
06_Personify_2.6-_Tiled_Matrix_Multiplication_Kernel.pdf
06_Personify_2.6-_Tiled_Matrix_Multiplication_Kernel.srt
06_Personify_2.6-_Tiled_Matrix_Multiplication_Kernel.txt
07_Personify_2.7-_Handling_Boundary_Conditions_in_Tiling.mp4
07_Personify_2.7-_Handling_Boundary_Conditions_in_Tiling.pdf
07_Personify_2.7-_Handling_Boundary_Conditions_in_Tiling.srt
07_Personify_2.7-_Handling_Boundary_Conditions_in_Tiling.txt
08_Personify_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp4
08_Personify_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.pdf
08_Personify_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.srt
08_Personify_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.txt
09_Boxed_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp4
09_Boxed_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.pdf
09_Boxed_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.srt
09_Boxed_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.txt
10_Boxed_2.2-_Control_Divergence.mp4
10_Boxed_2.2-_Control_Divergence.pdf
10_Boxed_2.2-_Control_Divergence.srt
10_Boxed_2.2-_Control_Divergence.txt
11_Boxed_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp4
11_Boxed_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.pdf
11_Boxed_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.srt
11_Boxed_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.txt
12_Boxed_2.4-_Tiled_Parallel_Algorithms.mp4
12_Boxed_2.4-_Tiled_Parallel_Algorithms.pdf
12_Boxed_2.4-_Tiled_Parallel_Algorithms.srt
12_Boxed_2.4-_Tiled_Parallel_Algorithms.txt
13_Boxed_2.5-_Tiled_Matrix_Multiplication.mp4
13_Boxed_2.5-_Tiled_Matrix_Multiplication.pdf
13_Boxed_2.5-_Tiled_Matrix_Multiplication.srt
13_Boxed_2.5-_Tiled_Matrix_Multiplication.txt
14_Boxed_2.6-_Tiled_Matrix_Multiplication_Kernel.mp4
14_Boxed_2.6-_Tiled_Matrix_Multiplication_Kernel.pdf
14_Boxed_2.6-_Tiled_Matrix_Multiplication_Kernel.srt
14_Boxed_2.6-_Tiled_Matrix_Multiplication_Kernel.txt
15_Boxed_2.7-_Handling_Boundary_Conditions_in_Tiling.mp4
15_Boxed_2.7-_Handling_Boundary_Conditions_in_Tiling.pdf
15_Boxed_2.7-_Handling_Boundary_Conditions_in_Tiling.srt
15_Boxed_2.7-_Handling_Boundary_Conditions_in_Tiling.txt
16_Boxed_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp4
16_Boxed_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.pdf
16_Boxed_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.srt
16_Boxed_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.txt
03_Week_3
01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp4
01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.pdf
01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.srt
01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.txt
02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp4
02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.pdf
02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.srt
02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.txt
03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.mp4
03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.pdf
03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.srt
03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.txt
04_Personify_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp4
04_Personify_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.pdf
04_Personify_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.srt
04_Personify_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.txt
05_Personify_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp4
05_Personify_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.pdf
05_Personify_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.srt
05_Personify_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.txt
06_Personify_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp4
06_Personify_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.pdf
06_Personify_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.srt
06_Personify_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.txt
07_Boxed_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp4
07_Boxed_3.1-_Performance_Considerations_-_DRAM_Bandwidth.pdf
07_Boxed_3.1-_Performance_Considerations_-_DRAM_Bandwidth.srt
07_Boxed_3.1-_Performance_Considerations_-_DRAM_Bandwidth.txt
08_Boxed_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp4
08_Boxed_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.pdf
08_Boxed_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.srt
08_Boxed_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.txt
09_Boxed_3.3-_Parallel_Computation_Patterns_-_Convolution.mp4
09_Boxed_3.3-_Parallel_Computation_Patterns_-_Convolution.pdf
09_Boxed_3.3-_Parallel_Computation_Patterns_-_Convolution.srt
09_Boxed_3.3-_Parallel_Computation_Patterns_-_Convolution.txt
10_Boxed_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp4
10_Boxed_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.pdf
10_Boxed_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.srt
10_Boxed_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.txt
11_Boxed_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp4
11_Boxed_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.pdf
11_Boxed_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.srt
11_Boxed_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.txt
12_Boxed_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp4
12_Boxed_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.pdf
12_Boxed_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.srt
12_Boxed_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.txt
04_Week_4
01_4.1-_Parallel_Computation_Patterns_-_Reduction.mp4
01_4.1-_Parallel_Computation_Patterns_-_Reduction.pdf
01_4.1-_Parallel_Computation_Patterns_-_Reduction.srt
01_4.1-_Parallel_Computation_Patterns_-_Reduction.txt
02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.mp4
02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.pdf
02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.srt
02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.txt
03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.mp4
03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.pdf
03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.srt
03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.txt
04_4.4-_Parallel_Computation_Patterns_-_Scan.mp4
04_4.4-_Parallel_Computation_Patterns_-_Scan.pdf
04_4.4-_Parallel_Computation_Patterns_-_Scan.srt
04_4.4-_Parallel_Computation_Patterns_-_Scan.txt
05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.mp4
05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.pdf
05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.srt
05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.txt
06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.mp4
06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.pdf
06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.srt
06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.txt
07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.mp4
07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.pdf
07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.srt
07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.txt
05_Week_5
01_5.1-_Parallel_Computation_Patterns_-_Histogramming.mp4
01_5.1-_Parallel_Computation_Patterns_-_Histogramming.pdf
01_5.1-_Parallel_Computation_Patterns_-_Histogramming.srt
01_5.1-_Parallel_Computation_Patterns_-_Histogramming.txt
02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.mp4
02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.pdf
02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.srt
02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.txt
03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.mp4
03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.pdf
03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.srt
03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.txt
04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.mp4
04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.pdf
04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.srt
04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.txt
05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.mp4
05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.pdf
05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.srt
05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.txt
06_Week_6
01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.mp4
01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.pdf
01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.srt
01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.txt
02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.mp4
02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.pdf
02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.srt
02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.txt
03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.mp4
03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.pdf
03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.srt
03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.txt
07_Week_7
01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.mp4
01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.pdf
01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.srt
01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.txt
02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.mp4
02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.pdf
02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.srt
02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.txt
03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.mp4
03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.pdf
03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.srt
03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.txt
04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code.mp4
04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code.pdf
04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code.srt
04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code.txt
05_7.5-_Related_Programming_Models_-_OpenACC.mp4
05_7.5-_Related_Programming_Models_-_OpenACC.pdf
05_7.5-_Related_Programming_Models_-_OpenACC.srt
05_7.5-_Related_Programming_Models_-_OpenACC.txt
06_7.6-_Related_Programming_Models_-_OpenACC_Details.mp4
06_7.6-_Related_Programming_Models_-_OpenACC_Details.pdf
06_7.6-_Related_Programming_Models_-_OpenACC_Details.srt
06_7.6-_Related_Programming_Models_-_OpenACC_Details.txt
08_Week_8
01_8.1-_Related_Parallel_Models_-_C_AMP.mp4
01_8.1-_Related_Parallel_Models_-_C_AMP.pdf
01_8.1-_Related_Parallel_Models_-_C_AMP.srt
01_8.1-_Related_Parallel_Models_-_C_AMP.txt
02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.mp4
02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.pdf
02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.srt
02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.txt
03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.mp4
03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.pdf
03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.srt
03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.txt
04_8.4-_Conclusions_and_Future_Directions.mp4
04_8.4-_Conclusions_and_Future_Directions.pdf
04_8.4-_Conclusions_and_Future_Directions.srt
04_8.4-_Conclusions_and_Future_Directions.txt
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Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [Coursera] Heterogeneous Parallel Programming by Wen-mei W Hwu Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
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