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[FreeCoursesOnline.Us] Linkedin - Python Parallel Programming Solutions
magnet:?xt=urn:btih:4039dff89d1be07dbc3a6ed847e8f7abc6772433&dn=[FreeCoursesOnline.Us] Linkedin - Python Parallel Programming Solutions
磁力链接详情
Hash值:
4039dff89d1be07dbc3a6ed847e8f7abc6772433
点击数:
254
文件大小:
1.35 GB
文件数量:
64
创建日期:
2017-11-26 12:15
最后访问:
2024-6-28 21:08
访问标签:
FreeCoursesOnline
Us
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Python
Parallel
Programming
Solutions
文件列表详情
01 - The parallel computing memory architecture - Python Parallel Programming Solutions.mp4 53.42 MB
02 - Memory organization - Python Parallel Programming Solutions.mp4 40.22 MB
03 - Memory organization continued - Python Parallel Programming Solutions.mp4 31.65 MB
04 - Parallel programming models - Python Parallel Programming Solutions.mp4 24.26 MB
05 - Designing a parallel program - Python Parallel Programming Solutions.mp4 36.36 MB
06 - Evaluating the performance of a parallel program - Python Parallel Programming Solutions.mp4 30.67 MB
07 - Introducing Python - Python Parallel Programming Solutions.mp4 35.93 MB
08 - Working with processes in Python - Python Parallel Programming Solutions.mp4 13.92 MB
09 - Working with threads in Python - Python Parallel Programming Solutions.mp4 20.64 MB
10 - Defining a thread - Python Parallel Programming Solutions.mp4 19.58 MB
11 - Determining the current thread - Python Parallel Programming Solutions.mp4 6.35 MB
12 - Using a thread in a subclass - Python Parallel Programming Solutions.mp4 11.24 MB
13 - Thread synchronization with lock - Python Parallel Programming Solutions.mp4 31.04 MB
14 - Thread synchronization with RLock - Python Parallel Programming Solutions.mp4 10.04 MB
15 - Thread synchronization with semaphores - Python Parallel Programming Solutions.mp4 27.94 MB
16 - Thread synchronization with a condition - Python Parallel Programming Solutions.mp4 13.76 MB
17 - Thread synchronization with an event - Python Parallel Programming Solutions.mp4 10.43 MB
18 - Using the with statement - Python Parallel Programming Solutions.mp4 11.56 MB
19 - Thread communication using a queue - Python Parallel Programming Solutions.mp4 17.89 MB
20 - Evaluating the performance of multithread applications - Python Parallel Programming Solutions.mp4 26.5 MB
21 - Spawning a process - Python Parallel Programming Solutions.mp4 16.07 MB
22 - Naming a process - Python Parallel Programming Solutions.mp4 7.09 MB
23 - Running a process in the background - Python Parallel Programming Solutions.mp4 7.3 MB
24 - Killing a process - Python Parallel Programming Solutions.mp4 8.3 MB
25 - Using a process in a subclass - Python Parallel Programming Solutions.mp4 7.77 MB
26 - Exchanging objects between processes - Python Parallel Programming Solutions.mp4 16.92 MB
27 - Synchronizing processes - Python Parallel Programming Solutions.mp4 15.48 MB
28 - Managing a state between processes - Python Parallel Programming Solutions.mp4 8.38 MB
29 - Using a process pool - Python Parallel Programming Solutions.mp4 13.57 MB
30 - Using the mpi4py Python module - Python Parallel Programming Solutions.mp4 23.08 MB
31 - Point-to-point communication - Python Parallel Programming Solutions.mp4 17.23 MB
32 - Avoiding deadlock problems - Python Parallel Programming Solutions.mp4 17.86 MB
33 - Using broadcast for collective communication - Python Parallel Programming Solutions.mp4 18.29 MB
34 - Using scatter for collective communication - Python Parallel Programming Solutions.mp4 12.29 MB
35 - Using gather for collective communication - Python Parallel Programming Solutions.mp4 9.51 MB
36 - Using alltoall for collective communication - Python Parallel Programming Solutions.mp4 17.77 MB
37 - The reduction operation - Python Parallel Programming Solutions.mp4 16.64 MB
38 - Optimizing the communication - Python Parallel Programming Solutions.mp4 19.95 MB
39 - Using the concurrent.futures Python modules - Python Parallel Programming Solutions.mp4 30.74 MB
40 - Event loop management with Asyncio - Python Parallel Programming Solutions.mp4 24.97 MB
41 - Handling co-routines with Asyncio - Python Parallel Programming Solutions.mp4 23.54 MB
42 - Manipulating a task with Asyncio - Python Parallel Programming Solutions.mp4 13.68 MB
43 - Dealing with Asyncio and futures - Python Parallel Programming Solutions.mp4 17.69 MB
44 - Using Celery to distribute tasks - Python Parallel Programming Solutions.mp4 19.86 MB
45 - Creating a task with Celery - Python Parallel Programming Solutions.mp4 18.11 MB
46 - Scientific computing with SCOOP - Python Parallel Programming Solutions.mp4 28.22 MB
47 - Handling map functions with SCOOP - Python Parallel Programming Solutions.mp4 23.22 MB
48 - Remote method invocation with Pyro4 - Python Parallel Programming Solutions.mp4 29.15 MB
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.mp4 21.29 MB
51 - Communicating sequential processes with PyCSP - Python Parallel Programming Solutions.mp4 39.68 MB
52 - A remote procedure call with RPyC - Python Parallel Programming Solutions.mp4 21.06 MB
53 - Using the PyCUDA module - Python Parallel Programming Solutions.mp4 43.46 MB
54 - Building a PyCUDA application - Python Parallel Programming Solutions.mp4 43.43 MB
55 - Understanding the PyCUDA memory model with matrix manipulation - Python Parallel Programming Solutions.mp4 31.39 MB
56 - Kernel invocations with GPU array - Python Parallel Programming Solutions.mp4 13.73 MB
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.mp4 20.32 MB
59 - Gpu programming with NumbaPro - Python Parallel Programming Solutions.mp4 27.51 MB
60 - Using GPU-accelerated libraries with NumbaPro - Python Parallel Programming Solutions.mp4 29.87 MB
61 - Using the PyOpenCL module - Python Parallel Programming Solutions.mp4 23.42 MB
62 - Building a PyOpenCL application - Python Parallel Programming Solutions.mp4 28.6 MB
63 - Evaluating element-wise expressions with PyOpenCL - Python Parallel Programming Solutions.mp4 18.24 MB
64 - Testing your gpu application with PyOpenCL - Python Parallel Programming Solutions.mp4 24.32 MB
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