Python Parallel Programming Solutions | ACBD98CDEB64A1F50DB57EBDA31EFF8D4F75EAEA

Python Parallel Programming Solutions

Name	Python_Parallel_Programming_Solutions	DOWNLOAD Copy Link
Total Size	612.8 MB
Total Files	64
Hash	ACBD98CDEB64A1F50DB57EBDA31EFF8D4F75EAEA

/1_1._Getting_Started_with_Parallel_Computing_and_Python/
Designing_a_parallel_program.mp4	10.1 MB
Evaluating_the_performance_of_a_parallel_program.mp4	13.0 MB
Introducing_Python.mp4	13.0 MB
Memory_organization.mp4	14.5 MB
Memory_organization_continued.mp4	16.4 MB
Parallel_programming_models.mp4	13.3 MB
The_parallel_computing_memory_architecture.mp4	14.7 MB
Working_with_processes_in_Python.mp4	16.7 MB
Working_with_threads_in_Python.mp4	9.5 MB
/2_2._Thread-Based_Parallelism/
Defining_a_thread.mp4	8.4 MB
Determining_the_current_thread.mp4	3.1 MB
Evaluating_the_performance_of_multithread_applications.mp4	12.2 MB
Thread_communication_using_a_queue.mp4	7.7 MB
Thread_synchronization_with_RLock.mp4	4.7 MB
Thread_synchronization_with_a_condition.mp4	7.3 MB
Thread_synchronization_with_an_event.mp4	5.0 MB
Thread_synchronization_with_lock.mp4	13.8 MB
Thread_synchronization_with_semaphores.mp4	11.7 MB
Using_a_thread_in_a_subclass.mp4	5.2 MB
Using_the_with_statement.mp4	5.5 MB
/3_3._Process-Based_Parallelism/
Avoiding_deadlock_problems.mp4	8.1 MB
Exchanging_objects_between_processes.mp4	8.9 MB
Killing_a_process.mp4	3.7 MB
Managing_a_state_between_processes.mp4	3.7 MB
Naming_a_process.mp4	3.0 MB
Optimizing_the_communication.mp4	9.5 MB
Point-to-point_communication.mp4	7.3 MB
Running_a_process_in_the_background.mp4	3.6 MB
Spawning_a_process.mp4	6.7 MB
Synchronizing_processes.mp4	7.3 MB
The_reduction_operation.mp4	7.3 MB
Using_a_process_in_a_subclass.mp4	3.4 MB
Using_a_process_pool.mp4	5.8 MB
Using_alltoall_for_collective_communication.mp4	7.1 MB
Using_broadcast_for_collective_communication.mp4	7.5 MB
Using_gather_for_collective_communication.mp4	3.9 MB
Using_scatter_for_collective_communication.mp4	5.5 MB
Using_the_mpi4py_Python_module.mp4	10.2 MB
/4_4._Asynchronous_Programming/
Dealing_with_Asyncio_and_futures.mp4	8.2 MB
Event_loop_management_with_Asyncio.mp4	11.0 MB
Handling_co-routines_with_Asyncio.mp4	10.8 MB
Manipulating_a_task_with_Asyncio.mp4	6.8 MB
Using_the_concurrent.futures_Python_modules.mp4	14.1 MB
/5_5._Distributed_Python/
A_remote_procedure_call_with_RPyC.mp4	8.7 MB
Chaining_objects_with_pyro4.mp4	9.1 MB
Communicating_sequential_processes_with_PyCSP.mp4	15.1 MB
Creating_a_task_with_Celery.mp4	8.1 MB
Developing_a_client-server_application_with_Pyro4.mp4	10.6 MB
Handling_map_functions_with_SCOOP.mp4	9.7 MB
Remote_method_invocation_with_Pyro4.mp4	11.4 MB
Scientific_computing_with_SCOOP.mp4	12.9 MB
Using_Celery_to_distribute_tasks.mp4	9.8 MB
/6_6._GPU_Programming_with_Python/
Building_a_PyCUDA_application.mp4	16.7 MB
Building_a_PyOpenCL_application.mp4	13.6 MB
Evaluating_element-wise_expressions_with_PyCUDA.mp4	9.1 MB
Evaluating_element-wise_expressions_with_PyOpenCL.mp4	8.5 MB
Gpu_programming_with_NumbaPro.mp4	12.1 MB
Kernel_invocations_with_GPU_array.mp4	5.7 MB
Testing_your_gpu_application_with_PyOpenCL.mp4	11.8 MB
The_mapreduce_operation_with_PyCUDA.mp4	8.9 MB
Understanding_the_PyCUDA_memory_model_with_matrix_manipulation.mp4	14.0 MB
Using_GPU-accelerated_libraries_with_NumbaPro.mp4	14.0 MB
Using_the_PyCUDA_module.mp4	21.7 MB
Using_the_PyOpenCL_module.mp4	11.4 MB
Total files 64