Python Parallel Programming Solutions | CB6D4757B01145DCCD0BDCF849F107DAFBBD79FA

Python Parallel Programming Solutions

Name	Python_Parallel_Programming_Solutions	DOWNLOAD Copy Link
Total Size	609.2 MB
Total Files	64
Last Seen	2024-11-04 23:36
Hash	CB6D4757B01145DCCD0BDCF849F107DAFBBD79FA

/1_1._Getting_Started_with_Parallel_Computing_and_Python/
01_The_parallel_computing_memory_architecture.mp4	14.7 MB
02_Memory_organization.mp4	17.9 MB
03_Memory_organization_continued.mp4	13.4 MB
04_Parallel_programming_models.mp4	10.1 MB
05_Designing_a_parallel_program.mp4	15.4 MB
06_Evaluating_the_performance_of_a_parallel_program.mp4	13.0 MB
07_Introducing_Python.mp4	16.6 MB
08_Working_with_processes_in_Python.mp4	5.9 MB
09_Working_with_threads_in_Python.mp4	9.5 MB
/2_2._Thread-Based_Parallelism/
10_Defining_a_thread.mp4	8.4 MB
11_Determining_the_current_thread.mp4	3.1 MB
12_Using_a_thread_in_a_subclass.mp4	5.3 MB
13_Thread_synchronization_with_lock.mp4	13.8 MB
14_Thread_synchronization_with_RLock.mp4	4.7 MB
15_Thread_synchronization_with_semaphores.mp4	11.8 MB
16_Thread_synchronization_with_a_condition.mp4	7.3 MB
17_Thread_synchronization_with_an_event.mp4	5.0 MB
18_Using_the_with_statement.mp4	5.5 MB
19_Thread_communication_using_a_queue.mp4	7.7 MB
20_Evaluating_the_performance_of_multithread_applications.mp4	12.2 MB
/3_3._Process-Based_Parallelism/
21_Spawning_a_process.mp4	6.7 MB
22_Naming_a_process.mp4	3.1 MB
23_Running_a_process_in_the_background.mp4	3.6 MB
24_Killing_a_process.mp4	3.8 MB
25_Using_a_process_in_a_subclass.mp4	3.4 MB
26_Exchanging_objects_between_processes.mp4	8.9 MB
27_Synchronizing_processes.mp4	7.3 MB
28_Managing_a_state_between_processes.mp4	3.7 MB
29_Using_a_process_pool.mp4	5.9 MB
30_Using_the_mpi4py_Python_module.mp4	10.2 MB
31_Point-to-point_communication.mp4	7.4 MB
32_Avoiding_deadlock_problems.mp4	8.2 MB
33_Using_broadcast_for_collective_communication.mp4	7.5 MB
34_Using_scatter_for_collective_communication.mp4	5.6 MB
35_Using_gather_for_collective_communication.mp4	3.9 MB
36_Using_alltoall_for_collective_communication.mp4	7.1 MB
37_The_reduction_operation.mp4	7.3 MB
38_Optimizing_the_communication.mp4	9.5 MB
/4_4._Asynchronous_Programming/
39_Using_the_concurrent.futures_Python_modules.mp4	14.2 MB
40_Event_loop_management_with_Asyncio.mp4	11.1 MB
41_Handling_co-routines_with_Asyncio.mp4	10.8 MB
42_Manipulating_a_task_with_Asyncio.mp4	6.8 MB
43_Dealing_with_Asyncio_and_futures.mp4	8.3 MB
/5_5._Distributed_Python/
44_Using_Celery_to_distribute_tasks.mp4	9.8 MB
45_Creating_a_task_with_Celery.mp4	8.2 MB
46_Scientific_computing_with_SCOOP.mp4	12.9 MB
47_Handling_map_functions_with_SCOOP.mp4	9.7 MB
48_Remote_method_invocation_with_Pyro4.mp4	11.4 MB
49_Chaining_objects_with_pyro4.mp4	9.2 MB
50_Developing_a_client-server_application_with_Pyro4.mp4	10.6 MB
51_Communicating_sequential_processes_with_PyCSP.mp4	15.1 MB
52_A_remote_procedure_call_with_RPyC.mp4	8.7 MB
/6_6._GPU_Programming_with_Python/
53_Using_the_PyCUDA_module.mp4	21.8 MB
54_Building_a_PyCUDA_application.mp4	16.8 MB
55_Understanding_the_PyCUDA_memory_model_with_matrix_manipulation.mp4	14.1 MB
56_Kernel_invocations_with_GPU_array.mp4	5.7 MB
57_Evaluating_element-wise_expressions_with_PyCUDA.mp4	9.1 MB
58_The_mapreduce_operation_with_PyCUDA.mp4	8.9 MB
59_Gpu_programming_with_NumbaPro.mp4	12.2 MB
60_Using_GPU-accelerated_libraries_with_NumbaPro.mp4	14.1 MB
61_Using_the_PyOpenCL_module.mp4	11.4 MB
62_Building_a_PyOpenCL_application.mp4	13.6 MB
63_Evaluating_element-wise_expressions_with_PyOpenCL.mp4	8.6 MB
64_Testing_your_gpu_application_with_PyOpenCL.mp4	11.8 MB
Total files 64