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

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[Coursera] Heterogeneous Parallel Programming by Wen-mei W. Hwu (Size: 1.7 GB)
 Video Lectures.pdf101.08 KB
 01_Personify_1.1-_Course_Overview.mp425.74 MB
 01_Personify_1.1-_Course_Overview.pdf242.54 KB
 01_Personify_1.1-_Course_Overview.srt25.83 KB
 01_Personify_1.1-_Course_Overview.txt15.82 KB
 02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp417.75 MB
 02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.pdf272.22 KB
 02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.srt19.44 KB
 02_Personify_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.txt12.17 KB
 03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp49.59 MB
 03_Personify_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.pdf279.64 KB
 01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp425.53 MB
 01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.pdf430.32 KB
 01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.srt22.68 KB
 01_Personify_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.txt13.9 KB
 02_Personify_2.2-_Control_Divergence.mp419.83 MB
 02_Personify_2.2-_Control_Divergence.pdf442.19 KB
 02_Personify_2.2-_Control_Divergence.srt18.11 KB
 02_Personify_2.2-_Control_Divergence.txt11.25 KB
 03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp428.91 MB
 03_Personify_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.pdf294.14 KB
 01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp429.54 MB
 01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.pdf498.21 KB
 01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.srt28.18 KB
 01_Personify_3.1-_Performance_Considerations_-_DRAM_Bandwidth.txt17.11 KB
 02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp422.72 MB
 02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.pdf512.64 KB
 02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.srt18.42 KB
 02_Personify_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.txt11.42 KB
 03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.mp421.08 MB
 03_Personify_3.3-_Parallel_Computation_Patterns_-_Convolution.pdf499.79 KB
 01_4.1-_Parallel_Computation_Patterns_-_Reduction.mp431.08 MB
 01_4.1-_Parallel_Computation_Patterns_-_Reduction.pdf294.27 KB
 01_4.1-_Parallel_Computation_Patterns_-_Reduction.srt28.48 KB
 01_4.1-_Parallel_Computation_Patterns_-_Reduction.txt17.51 KB
 02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.mp425.07 MB
 02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.pdf363.37 KB
 02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.srt21.87 KB
 02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.txt13.26 KB
 03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.mp419.99 MB
 03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.pdf413.95 KB
 01_5.1-_Parallel_Computation_Patterns_-_Histogramming.mp422.23 MB
 01_5.1-_Parallel_Computation_Patterns_-_Histogramming.pdf501.85 KB
 01_5.1-_Parallel_Computation_Patterns_-_Histogramming.srt15.35 KB
 01_5.1-_Parallel_Computation_Patterns_-_Histogramming.txt9.37 KB
 02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.mp422.12 MB
 02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.pdf437.04 KB
 02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.srt15.33 KB
 02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.txt9.35 KB
 03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.mp430.7 MB
 03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.pdf769.75 KB
 01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.mp438.08 MB
 01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.pdf459.84 KB
 01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.srt23.2 KB
 01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.txt14.35 KB
 02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.mp433.18 MB
 02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.pdf380.98 KB
 02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.srt23 KB
 02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.txt14.12 KB
 03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.mp440.95 MB
 03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.pdf332.51 KB
 01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.mp424.58 MB
 01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.pdf721.06 KB
 01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.srt18.37 KB
 01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.txt11.2 KB
 02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.mp419.08 MB
 02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.pdf282.75 KB
 02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.srt11.44 KB
 02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.txt7.03 KB
 03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.mp439.59 MB
 03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.pdf561.81 KB
 01_8.1-_Related_Parallel_Models_-_C_AMP.mp428.81 MB
 01_8.1-_Related_Parallel_Models_-_C_AMP.pdf320.06 KB
 01_8.1-_Related_Parallel_Models_-_C_AMP.srt18.77 KB
 01_8.1-_Related_Parallel_Models_-_C_AMP.txt11.43 KB
 02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.mp441.06 MB
 02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.pdf333.77 KB
 02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.srt21.13 KB
 02_8.2-_Related_Parallel_Models_-_C_AMP_Advance_Concepts.txt13.11 KB
 03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.mp448.88 MB
 03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.pdf761.99 KB


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