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hetero-004

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2022-2-9 00:40 2024-11-5 03:54 178 1.28 GB 47
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相关链接
文件列表
  1. 01_Week_1/01_1.1-_Course_Overview.mp425.74MB
  2. 01_Week_1/02_1.2-_Introduction_to_Heterogeneous_Parallel_Computing.mp417.75MB
  3. 01_Week_1/03_1.3-_Portability_and_Scalability_in_Heterogeneous_Parallel_Computing.mp49.59MB
  4. 01_Week_1/04_1.4-_Introduction_to_CUDA_Data_Parallelism_and_Threads.mp427.09MB
  5. 01_Week_1/05_1.5-_Introduction_to_CUDA_Memory_Allocation_and_Data_Movement_API.mp424.48MB
  6. 01_Week_1/06_1.6-_Introduction_to_CUDA_Kernel-Based_SPMD_Parallel_Programming.mp424.23MB
  7. 01_Week_1/07_1.7-_Kernel-based_Parallel_Programming_Multidimensional_Kernel_Configuration.mp421.69MB
  8. 01_Week_1/08_1.8-_Kernel-based_Parallel_Programming_Basic_Matrix-Matrix_Multiplication.mp421.74MB
  9. 02_Week_2/01_2.1-_Kernel-based_Parallel_Programming_-_Thread_Scheduling.mp425.53MB
  10. 02_Week_2/02_2.2-_Control_Divergence.mp419.83MB
  11. 02_Week_2/03_2.3-_Memory_Model_and_Locality_--_CUDA_Memories.mp428.91MB
  12. 02_Week_2/04_2.4-_Tiled_Parallel_Algorithms.mp425MB
  13. 02_Week_2/05_2.5-_Tiled_Matrix_Multiplication.mp425.8MB
  14. 02_Week_2/06_2.6-_Tiled_Matrix_Multiplication_Kernel.mp436.16MB
  15. 02_Week_2/07_2.7-_Handling_Boundary_Conditions_in_Tiling.mp417.92MB
  16. 02_Week_2/08_2.8-_A_Tiled_Kernel_for_Arbitrary_Matrix_Dimensions.mp421.44MB
  17. 03_Week_3/01_3.1-_Performance_Considerations_-_DRAM_Bandwidth.mp429.54MB
  18. 03_Week_3/02_3.2-_Performance_Considerations_-_Memory_Coalescing_in_CUDA.mp422.72MB
  19. 03_Week_3/03_3.3-_Parallel_Computation_Patterns_-_Convolution.mp421.08MB
  20. 03_Week_3/04_3.4-_Parallel_Computation_Patterns_-_Tiled_Convolution.mp424.91MB
  21. 03_Week_3/05_3.5-_Parallel_Computation_Patterns_-_2D_Tiled_Convolution_Kernel.mp425.29MB
  22. 03_Week_3/06_3.6-_Parallel_Computation_Patterns_-_Data_Reuse_in_Tiled_Convolution.mp431.55MB
  23. 04_Week_4/01_4.1-_Parallel_Computation_Patterns_-_Reduction.mp431.08MB
  24. 04_Week_4/02_4.2-_Parallel_Computation_Patterns_-_A_Basic_Reduction_Kernel.mp425.07MB
  25. 04_Week_4/03_4.3-_Parallel_Computation_Patterns_-_A_Better_Reduction_Kernel.mp419.99MB
  26. 04_Week_4/04_4.4-_Parallel_Computation_Patterns_-_Scan_Prefix_Sum.mp426.97MB
  27. 04_Week_4/05_4.5-_Parallel_Computation_Patterns_-_A_Work-Inefficient_Scan_Kernel.mp438.49MB
  28. 04_Week_4/06_4.6-_Parallel_Computation_Patterns_-_A_Work-Efficient_Parallel_Scan_Kernel.mp437.88MB
  29. 04_Week_4/07_4.7-_Parallel_Computation_Patterns_-_More_on_Parallel_Scan.mp439.84MB
  30. 05_Week_5/01_5.1-_Parallel_Computation_Patterns_-_Histogramming.mp422.23MB
  31. 05_Week_5/02_5.2-_Parallel_Computation_Patterns_-_Atomic_Operations.mp422.12MB
  32. 05_Week_5/03_5.3-_Parallel_Computation_Patterns_-_Atomic_Operations_in_CUDA.mp430.7MB
  33. 05_Week_5/04_5.4-_Parallel_Computation_Patters_-_Atomic_Operations_Performance.mp427.71MB
  34. 05_Week_5/05_5.5-_Parallel_Computation_Patterns_-_A_Privatized_Histogram_Kernel.mp423.27MB
  35. 06_Week_6/01_6.1-_Efficient_Host-Device_Data_Transfer_-_Pinned_Host_Memory.mp438.08MB
  36. 06_Week_6/02_6.2-_Efficient_Host-Device_Data_Transfer_-_Task_Parallelism_in_CUDA.mp433.18MB
  37. 06_Week_6/03_6.3-_Efficient_Host-Device_Data_Transfer_-_Overlapping_Data_Transfer_with_Computation.mp440.95MB
  38. 07_Week_7/01_7.1-_Related_Programming_Models_-_OpenCL_Data_Parallelism_Model.mp424.58MB
  39. 07_Week_7/02_7.2-_Related_Programming_Models_-_OpenCL_Device_Architecture.mp419.08MB
  40. 07_Week_7/03_7.3-_Related_Programming_Models_-_OpenCL_Host_Code_Part_1.mp439.59MB
  41. 07_Week_7/04_7.4-_Related_Programming_Models_-_OpenCL_Host_Code_Cont.mp424.33MB
  42. 07_Week_7/05_7.5-_Related_Programming_Models_-_OpenACC.mp428.13MB
  43. 07_Week_7/06_7.6-_Related_Programming_Models_-_OpenACC_Details.mp427.45MB
  44. 08_Week_8/01_8.1-_Related_Parallel_Models_-_C___AMP.mp428.81MB
  45. 08_Week_8/02_8.2-_Related_Parallel_Models_-_C___AMP_Advance_Concepts.mp441.06MB
  46. 08_Week_8/03_8.3-_Related_Parallel_Models_-_Introduction_to_Heterogeneous_Supercomputing_and_MPI.mp448.88MB
  47. 08_Week_8/04_8.4-_Conclusions_and_Future_Directions.mp440.04MB
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