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[FreeCoursesOnline Us] Linkedin - Python Parallel...
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[FreeCoursesOnline Us] Linkedin - Python Parallel Programming Solutions Torrent content (File list)
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| 01 - The parallel computing memory architecture - Python Parallel Programming Solutions.en.srt 11.0 KB |
| 01 - The parallel computing memory architecture - Python Parallel Programming Solutions.mp4 53.4 MB |
| 02 - Memory organization - Python Parallel Programming Solutions.en.srt 13.2 KB |
| 02 - Memory organization - Python Parallel Programming Solutions.mp4 40.2 MB |
| 03 - Memory organization continued - Python Parallel Programming Solutions.en.srt 10.5 KB |
| 03 - Memory organization continued - Python Parallel Programming Solutions.mp4 31.7 MB |
| 04 - Parallel programming models - Python Parallel Programming Solutions.en.srt 8.3 KB |
| 04 - Parallel programming models - Python Parallel Programming Solutions.mp4 24.3 MB |
| 05 - Designing a parallel program - Python Parallel Programming Solutions.en.srt 12.3 KB |
| 05 - Designing a parallel program - Python Parallel Programming Solutions.mp4 36.4 MB |
| 06 - Evaluating the performance of a parallel program - Python Parallel Programming Solutions.en.srt 9.4 KB |
| 06 - Evaluating the performance of a parallel program - Python Parallel Programming Solutions.mp4 30.7 MB |
| 07 - Introducing Python - Python Parallel Programming Solutions.en.srt 9.5 KB |
| 07 - Introducing Python - Python Parallel Programming Solutions.mp4 35.9 MB |
| 08 - Working with processes in Python - Python Parallel Programming Solutions.en.srt 4.4 KB |
| 08 - Working with processes in Python - Python Parallel Programming Solutions.mp4 13.9 MB |
| 09 - Working with threads in Python - Python Parallel Programming Solutions.en.srt 6.6 KB |
| 09 - Working with threads in Python - Python Parallel Programming Solutions.mp4 20.6 MB |
| 10 - Defining a thread - Python Parallel Programming Solutions.en.srt 6.5 KB |
| 10 - Defining a thread - Python Parallel Programming Solutions.mp4 19.6 MB |
| 11 - Determining the current thread - Python Parallel Programming Solutions.en.srt 2.3 KB |
| 11 - Determining the current thread - Python Parallel Programming Solutions.mp4 6.3 MB |
| 12 - Using a thread in a subclass - Python Parallel Programming Solutions.en.srt 3.9 KB |
| 12 - Using a thread in a subclass - Python Parallel Programming Solutions.mp4 11.2 MB |
| 13 - Thread synchronization with lock - Python Parallel Programming Solutions.en.srt 10.2 KB |
| 13 - Thread synchronization with lock - Python Parallel Programming Solutions.mp4 31.0 MB |
| 14 - Thread synchronization with RLock - Python Parallel Programming Solutions.en.srt 3.4 KB |
| 14 - Thread synchronization with RLock - Python Parallel Programming Solutions.mp4 10.0 MB |
| 15 - Thread synchronization with semaphores - Python Parallel Programming Solutions.en.srt 8.7 KB |
| 15 - Thread synchronization with semaphores - Python Parallel Programming Solutions.mp4 27.9 MB |
| 16 - Thread synchronization with a condition - Python Parallel Programming Solutions.en.srt 4.6 KB |
| 16 - Thread synchronization with a condition - Python Parallel Programming Solutions.mp4 13.8 MB |
| 17 - Thread synchronization with an event - Python Parallel Programming Solutions.en.srt 3.6 KB |
| 17 - Thread synchronization with an event - Python Parallel Programming Solutions.mp4 10.4 MB |
| 18 - Using the with statement - Python Parallel Programming Solutions.en.srt 4.1 KB |
| 18 - Using the with statement - Python Parallel Programming Solutions.mp4 11.6 MB |
| 19 - Thread communication using a queue - Python Parallel Programming Solutions.en.srt 5.8 KB |
| 19 - Thread communication using a queue - Python Parallel Programming Solutions.mp4 17.9 MB |
| 20 - Evaluating the performance of multithread applications - Python Parallel Programming Solutions.en.srt 8.9 KB |
| 20 - Evaluating the performance of multithread applications - Python Parallel Programming Solutions.mp4 26.5 MB |
| 21 - Spawning a process - Python Parallel Programming Solutions.en.srt 5.1 KB |
| 21 - Spawning a process - Python Parallel Programming Solutions.mp4 16.1 MB |
| 22 - Naming a process - Python Parallel Programming Solutions.en.srt 2.4 KB |
| 22 - Naming a process - Python Parallel Programming Solutions.mp4 7.1 MB |
| 23 - Running a process in the background - Python Parallel Programming Solutions.en.srt 2.5 KB |
| 23 - Running a process in the background - Python Parallel Programming Solutions.mp4 7.3 MB |
| 24 - Killing a process - Python Parallel Programming Solutions.en.srt 2.8 KB |
| 24 - Killing a process - Python Parallel Programming Solutions.mp4 8.3 MB |
| 25 - Using a process in a subclass - Python Parallel Programming Solutions.en.srt 2.5 KB |
| 25 - Using a process in a subclass - Python Parallel Programming Solutions.mp4 7.8 MB |
| 26 - Exchanging objects between processes - Python Parallel Programming Solutions.en.srt 5.7 KB |
| 26 - Exchanging objects between processes - Python Parallel Programming Solutions.mp4 16.9 MB |
| 27 - Synchronizing processes - Python Parallel Programming Solutions.en.srt 5.6 KB |
| 27 - Synchronizing processes - Python Parallel Programming Solutions.mp4 15.5 MB |
| 28 - Managing a state between processes - Python Parallel Programming Solutions.en.srt 2.8 KB |
| 28 - Managing a state between processes - Python Parallel Programming Solutions.mp4 8.4 MB |
| 29 - Using a process pool - Python Parallel Programming Solutions.en.srt 4.6 KB |
| 29 - Using a process pool - Python Parallel Programming Solutions.mp4 13.6 MB |
| 30 - Using the mpi4py Python module - Python Parallel Programming Solutions.en.srt 5.6 KB |
| 30 - Using the mpi4py Python module - Python Parallel Programming Solutions.mp4 23.1 MB |
| 31 - Point-to-point communication - Python Parallel Programming Solutions.en.srt 5.6 KB |
| 31 - Point-to-point communication - Python Parallel Programming Solutions.mp4 17.2 MB |
| 32 - Avoiding deadlock problems - Python Parallel Programming Solutions.en.srt 5.6 KB |
| 32 - Avoiding deadlock problems - Python Parallel Programming Solutions.mp4 17.9 MB |
| 33 - Using broadcast for collective communication - Python Parallel Programming Solutions.en.srt 5.9 KB |
| 33 - Using broadcast for collective communication - Python Parallel Programming Solutions.mp4 18.3 MB |
| 34 - Using scatter for collective communication - Python Parallel Programming Solutions.en.srt 4.0 KB |
| 34 - Using scatter for collective communication - Python Parallel Programming Solutions.mp4 12.3 MB |
| 35 - Using gather for collective communication - Python Parallel Programming Solutions.en.srt 3.0 KB |
| 35 - Using gather for collective communication - Python Parallel Programming Solutions.mp4 9.5 MB |
| 36 - Using alltoall for collective communication - Python Parallel Programming Solutions.en.srt 5.0 KB |
| 36 - Using alltoall for collective communication - Python Parallel Programming Solutions.mp4 17.8 MB |
| 37 - The reduction operation - Python Parallel Programming Solutions.en.srt 4.9 KB |
| 37 - The reduction operation - Python Parallel Programming Solutions.mp4 16.6 MB |
| 38 - Optimizing the communication - Python Parallel Programming Solutions.en.srt 6.2 KB |
| 38 - Optimizing the communication - Python Parallel Programming Solutions.mp4 20.0 MB |
| 39 - Using the concurrent.futures Python modules - Python Parallel Programming Solutions.en.srt 10.1 KB |
| 39 - Using the concurrent.futures Python modules - Python Parallel Programming Solutions.mp4 30.7 MB |
| 40 - Event loop management with Asyncio - Python Parallel Programming Solutions.en.srt 8.4 KB |
| 40 - Event loop management with Asyncio - Python Parallel Programming Solutions.mp4 25.0 MB |
| 41 - Handling co-routines with Asyncio - Python Parallel Programming Solutions.en.srt 7.4 KB |
| 41 - Handling co-routines with Asyncio - Python Parallel Programming Solutions.mp4 23.5 MB |
| 42 - Manipulating a task with Asyncio - Python Parallel Programming Solutions.en.srt 4.2 KB |
| 42 - Manipulating a task with Asyncio - Python Parallel Programming Solutions.mp4 13.7 MB |
| 43 - Dealing with Asyncio and futures - Python Parallel Programming Solutions.en.srt 5.7 KB |
| 43 - Dealing with Asyncio and futures - Python Parallel Programming Solutions.mp4 17.7 MB |
| 44 - Using Celery to distribute tasks - Python Parallel Programming Solutions.en.srt 5.5 KB |
| 44 - Using Celery to distribute tasks - Python Parallel Programming Solutions.mp4 19.9 MB |
| 45 - Creating a task with Celery - Python Parallel Programming Solutions.en.srt 5.3 KB |
| 45 - Creating a task with Celery - Python Parallel Programming Solutions.mp4 18.1 MB |
| 46 - Scientific computing with SCOOP - Python Parallel Programming Solutions.en.srt 7.8 KB |
| 46 - Scientific computing with SCOOP - Python Parallel Programming Solutions.mp4 28.2 MB |
| 47 - Handling map functions with SCOOP - Python Parallel Programming Solutions.en.srt 6.5 KB |
| 47 - Handling map functions with SCOOP - Python Parallel Programming Solutions.mp4 23.2 MB |
| 48 - Remote method invocation with Pyro4 - Python Parallel Programming Solutions.en.srt 8.4 KB |
| 48 - Remote method invocation with Pyro4 - Python Parallel Programming Solutions.mp4 29.2 MB |
| 49 - Chaining objects with pyro4 - Python Parallel Programming Solutions.en.srt 6.1 KB |
| 49 - Chaining objects with pyro4 - Python Parallel Programming Solutions.mp4 23.1 MB |
| 50 - Developing a client-server application with Pyro4 - Python Parallel Programming Solutions.en.srt 5.3 KB |
| 50 - Developing a client-server application with Pyro4 - Python Parallel Programming Solutions.mp4 21.3 MB |
| 51 - Communicating sequential processes with PyCSP - Python Parallel Programming Solutions.en.srt 9.8 KB |
| 51 - Communicating sequential processes with PyCSP - Python Parallel Programming Solutions.mp4 39.7 MB |
| 52 - A remote procedure call with RPyC - Python Parallel Programming Solutions.en.srt 6.0 KB |
| 52 - A remote procedure call with RPyC - Python Parallel Programming Solutions.mp4 21.1 MB |
| 53 - Using the PyCUDA module - Python Parallel Programming Solutions.en.srt 10.2 KB |
| 53 - Using the PyCUDA module - Python Parallel Programming Solutions.mp4 43.5 MB |
| 54 - Building a PyCUDA application - Python Parallel Programming Solutions.en.srt 12.4 KB |
| 54 - Building a PyCUDA application - Python Parallel Programming Solutions.mp4 43.4 MB |
| 55 - Understanding the PyCUDA memory model with matrix manipulation - Python Parallel Programming Solutions.en.srt 9.5 KB |
| 55 - Understanding the PyCUDA memory model with matrix manipulation - Python Parallel Programming Solutions.mp4 31.4 MB |
| 56 - Kernel invocations with GPU array - Python Parallel Programming Solutions.en.srt 4.0 KB |
| 56 - Kernel invocations with GPU array - Python Parallel Programming Solutions.mp4 13.7 MB |
| 57 - Evaluating element-wise expressions with PyCUDA - Python Parallel Programming Solutions.en.srt 5.3 KB |
| 57 - Evaluating element-wise expressions with PyCUDA - Python Parallel Programming Solutions.mp4 19.2 MB |
| 58 - The mapreduce operation with PyCUDA - Python Parallel Programming Solutions.en.srt 6.2 KB |
| 58 - The mapreduce operation with PyCUDA - Python Parallel Programming Solutions.mp4 20.3 MB |
| 59 - Gpu programming with NumbaPro - Python Parallel Programming Solutions.en.srt 7.8 KB |
| 59 - Gpu programming with NumbaPro - Python Parallel Programming Solutions.mp4 27.5 MB |
| 60 - Using GPU-accelerated libraries with NumbaPro - Python Parallel Programming Solutions.en.srt 7.5 KB |
| 60 - Using GPU-accelerated libraries with NumbaPro - Python Parallel Programming Solutions.mp4 29.9 MB |
| 61 - Using the PyOpenCL module - Python Parallel Programming Solutions.en.srt 6.4 KB |
| 61 - Using the PyOpenCL module - Python Parallel Programming Solutions.mp4 23.4 MB |
| 62 - Building a PyOpenCL application - Python Parallel Programming Solutions.en.srt 8.4 KB |
| 62 - Building a PyOpenCL application - Python Parallel Programming Solutions.mp4 28.6 MB |
| 63 - Evaluating element-wise expressions with PyOpenCL - Python Parallel Programming Solutions.en.srt 4.7 KB |
| 63 - Evaluating element-wise expressions with PyOpenCL - Python Parallel Programming Solutions.mp4 18.2 MB |
| 64 - Testing your gpu application with PyOpenCL - Python Parallel Programming Solutions.en.srt 6.3 KB |
| 64 - Testing your gpu application with PyOpenCL - Python Parallel Programming Solutions.mp4 24.3 MB |
| [FreeCoursesOnline.Us].txt 0.1 KB |
| [FreeCoursesOnline.Us].url 0.1 KB |
| [FreeTutorials.Us].txt 0.1 KB |
| [FreeTutorials.Us].url 0.1 KB |
- Torrent indexed: 7 years
- Torrent updated: Tuesday 19th of December 2017 07:38:58 AM
- Torrent hash: 4039DFF89D1BE07DBC3A6ED847E8F7ABC6772433
- Torrent size: 1.4 GB
- Torrent category: Movies
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