589689.xyz

Python_Parallel_Programming_Solutions

  • 收录时间:2019-06-29 07:39:48
  • 文件大小:581MB
  • 下载次数:10
  • 最近下载:2021-01-17 00:38:15
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 6_6._GPU_Programming_with_Python/53_Using_the_PyCUDA_module.mp4 21MB
  2. 1_1._Getting_Started_with_Parallel_Computing_and_Python/02_Memory_organization.mp4 17MB
  3. 6_6._GPU_Programming_with_Python/54_Building_a_PyCUDA_application.mp4 16MB
  4. 1_1._Getting_Started_with_Parallel_Computing_and_Python/07_Introducing_Python.mp4 16MB
  5. 1_1._Getting_Started_with_Parallel_Computing_and_Python/05_Designing_a_parallel_program.mp4 15MB
  6. 5_5._Distributed_Python/51_Communicating_sequential_processes_with_PyCSP.mp4 14MB
  7. 1_1._Getting_Started_with_Parallel_Computing_and_Python/01_The_parallel_computing_memory_architecture.mp4 14MB
  8. 4_4._Asynchronous_Programming/39_Using_the_concurrent.futures_Python_modules.mp4 14MB
  9. 6_6._GPU_Programming_with_Python/55_Understanding_the_PyCUDA_memory_model_with_matrix_manipulation.mp4 13MB
  10. 6_6._GPU_Programming_with_Python/60_Using_GPU-accelerated_libraries_with_NumbaPro.mp4 13MB
  11. 2_2._Thread-Based_Parallelism/13_Thread_synchronization_with_lock.mp4 13MB
  12. 6_6._GPU_Programming_with_Python/62_Building_a_PyOpenCL_application.mp4 13MB
  13. 1_1._Getting_Started_with_Parallel_Computing_and_Python/03_Memory_organization_continued.mp4 13MB
  14. 1_1._Getting_Started_with_Parallel_Computing_and_Python/06_Evaluating_the_performance_of_a_parallel_program.mp4 12MB
  15. 5_5._Distributed_Python/46_Scientific_computing_with_SCOOP.mp4 12MB
  16. 2_2._Thread-Based_Parallelism/20_Evaluating_the_performance_of_multithread_applications.mp4 12MB
  17. 6_6._GPU_Programming_with_Python/59_Gpu_programming_with_NumbaPro.mp4 12MB
  18. 6_6._GPU_Programming_with_Python/64_Testing_your_gpu_application_with_PyOpenCL.mp4 11MB
  19. 2_2._Thread-Based_Parallelism/15_Thread_synchronization_with_semaphores.mp4 11MB
  20. 5_5._Distributed_Python/48_Remote_method_invocation_with_Pyro4.mp4 11MB
  21. 6_6._GPU_Programming_with_Python/61_Using_the_PyOpenCL_module.mp4 11MB
  22. 4_4._Asynchronous_Programming/40_Event_loop_management_with_Asyncio.mp4 11MB
  23. 4_4._Asynchronous_Programming/41_Handling_co-routines_with_Asyncio.mp4 10MB
  24. 5_5._Distributed_Python/50_Developing_a_client-server_application_with_Pyro4.mp4 10MB
  25. 3_3._Process-Based_Parallelism/30_Using_the_mpi4py_Python_module.mp4 10MB
  26. 1_1._Getting_Started_with_Parallel_Computing_and_Python/04_Parallel_programming_models.mp4 10MB
  27. 5_5._Distributed_Python/44_Using_Celery_to_distribute_tasks.mp4 9MB
  28. 5_5._Distributed_Python/47_Handling_map_functions_with_SCOOP.mp4 9MB
  29. 3_3._Process-Based_Parallelism/38_Optimizing_the_communication.mp4 9MB
  30. 1_1._Getting_Started_with_Parallel_Computing_and_Python/09_Working_with_threads_in_Python.mp4 9MB
  31. 5_5._Distributed_Python/49_Chaining_objects_with_pyro4.mp4 9MB
  32. 6_6._GPU_Programming_with_Python/57_Evaluating_element-wise_expressions_with_PyCUDA.mp4 9MB
  33. 6_6._GPU_Programming_with_Python/58_The_mapreduce_operation_with_PyCUDA.mp4 9MB
  34. 3_3._Process-Based_Parallelism/26_Exchanging_objects_between_processes.mp4 9MB
  35. 5_5._Distributed_Python/52_A_remote_procedure_call_with_RPyC.mp4 8MB
  36. 6_6._GPU_Programming_with_Python/63_Evaluating_element-wise_expressions_with_PyOpenCL.mp4 8MB
  37. 2_2._Thread-Based_Parallelism/10_Defining_a_thread.mp4 8MB
  38. 4_4._Asynchronous_Programming/43_Dealing_with_Asyncio_and_futures.mp4 8MB
  39. 5_5._Distributed_Python/45_Creating_a_task_with_Celery.mp4 8MB
  40. 3_3._Process-Based_Parallelism/32_Avoiding_deadlock_problems.mp4 8MB
  41. 2_2._Thread-Based_Parallelism/19_Thread_communication_using_a_queue.mp4 7MB
  42. 3_3._Process-Based_Parallelism/33_Using_broadcast_for_collective_communication.mp4 7MB
  43. 3_3._Process-Based_Parallelism/31_Point-to-point_communication.mp4 7MB
  44. 3_3._Process-Based_Parallelism/27_Synchronizing_processes.mp4 7MB
  45. 2_2._Thread-Based_Parallelism/16_Thread_synchronization_with_a_condition.mp4 7MB
  46. 3_3._Process-Based_Parallelism/37_The_reduction_operation.mp4 7MB
  47. 3_3._Process-Based_Parallelism/36_Using_alltoall_for_collective_communication.mp4 7MB
  48. 4_4._Asynchronous_Programming/42_Manipulating_a_task_with_Asyncio.mp4 7MB
  49. 3_3._Process-Based_Parallelism/21_Spawning_a_process.mp4 6MB
  50. 1_1._Getting_Started_with_Parallel_Computing_and_Python/08_Working_with_processes_in_Python.mp4 6MB
  51. 3_3._Process-Based_Parallelism/29_Using_a_process_pool.mp4 6MB
  52. 6_6._GPU_Programming_with_Python/56_Kernel_invocations_with_GPU_array.mp4 5MB
  53. 3_3._Process-Based_Parallelism/34_Using_scatter_for_collective_communication.mp4 5MB
  54. 2_2._Thread-Based_Parallelism/18_Using_the_with_statement.mp4 5MB
  55. 2_2._Thread-Based_Parallelism/12_Using_a_thread_in_a_subclass.mp4 5MB
  56. 2_2._Thread-Based_Parallelism/17_Thread_synchronization_with_an_event.mp4 5MB
  57. 2_2._Thread-Based_Parallelism/14_Thread_synchronization_with_RLock.mp4 4MB
  58. 3_3._Process-Based_Parallelism/35_Using_gather_for_collective_communication.mp4 4MB
  59. 3_3._Process-Based_Parallelism/24_Killing_a_process.mp4 4MB
  60. 3_3._Process-Based_Parallelism/28_Managing_a_state_between_processes.mp4 4MB
  61. 3_3._Process-Based_Parallelism/23_Running_a_process_in_the_background.mp4 3MB
  62. 3_3._Process-Based_Parallelism/25_Using_a_process_in_a_subclass.mp4 3MB
  63. 2_2._Thread-Based_Parallelism/11_Determining_the_current_thread.mp4 3MB
  64. 3_3._Process-Based_Parallelism/22_Naming_a_process.mp4 3MB