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Parallel Computing with CUDA
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2021-1-1 12:51
2024-12-16 18:55
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535.84 MB
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磁力链接
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相关链接
Parallel
Computing
with
CUDA
文件列表
09. CUDA in Advanced Scenarios/05. Multi-GPU Programming.wmv
47.04MB
06. Thread Cooperation and Synchrnization/03. Thread Synchronization Demo.wmv
45.9MB
08. Events and Streams/08. Example (single stream).wmv
32.99MB
03. Introduction to CUDA C/03. Hello, CUDA.wmv
31.69MB
04. Parallel Programming Patterns/04. Gather.wmv
27.3MB
09. CUDA in Advanced Scenarios/03. Device API.wmv
25.8MB
04. Parallel Programming Patterns/03. Map.wmv
25.65MB
07. Atomic Operations/05. Monte Carlo Pi.wmv
25.42MB
04. Parallel Programming Patterns/06. Reduce.wmv
23.65MB
07. Atomic Operations/04. Atomic Sum.wmv
22.04MB
08. Events and Streams/05. Pinned memory.wmv
21.36MB
04. Parallel Programming Patterns/07. Scan.wmv
18.86MB
08. Events and Streams/09. Example (multiple streams).wmv
16.83MB
09. CUDA in Advanced Scenarios/06. Thrust.wmv
13.27MB
05. The Many Types of Memory/04. Shared Memory.wmv
10.76MB
03. Introduction to CUDA C/08. Device Introspection.wmv
10.4MB
02. Tools of The Trade/01. Tools Overview.wmv
8.22MB
02. Tools of The Trade/03. Running CUDA Apps.wmv
7.94MB
01. GPU Architecture Overview/02. History of GPU Computation.wmv
7.19MB
02. Tools of The Trade/02. Using NSight.wmv
5.79MB
08. Events and Streams/04. Event example.wmv
5.52MB
02. Tools of The Trade/04. Debugging.wmv
5.48MB
02. Tools of The Trade/05. Profiling.wmv
5.08MB
03. Introduction to CUDA C/06. Grid and Block Dimensions.wmv
4.87MB
03. Introduction to CUDA C/02. Compilation Process.wmv
4.8MB
01. GPU Architecture Overview/03. GPGPU Frameworks.wmv
4.41MB
01. GPU Architecture Overview/01. Course Outline.wmv
4.35MB
04. Parallel Programming Patterns/01. Overview.wmv
4.22MB
01. GPU Architecture Overview/04. Graphics Processor Architecture.wmv
4.08MB
01. GPU Architecture Overview/06. Choosing a Graphics Card.wmv
3.73MB
05. The Many Types of Memory/02. Global Memory.wmv
3.58MB
09. CUDA in Advanced Scenarios/04. Pinned Memory.wmv
3.45MB
03. Introduction to CUDA C/05. Execution Model.wmv
3.42MB
04. Parallel Programming Patterns/02. Element Addressing.wmv
3.3MB
06. Thread Cooperation and Synchrnization/04. Warp Divergence.wmv
3.23MB
07. Atomic Operations/03. Atomic Functions.wmv
2.99MB
05. The Many Types of Memory/03. Constant & Texture Memory.wmv
2.97MB
09. CUDA in Advanced Scenarios/02. Inline PTX.wmv
2.34MB
03. Introduction to CUDA C/04. Location Qualifiers.wmv
2.34MB
05. The Many Types of Memory/05. Register & Local Memory.wmv
2.28MB
05. The Many Types of Memory/01. Overview.wmv
2.28MB
06. Thread Cooperation and Synchrnization/01. Overview.wmv
2.28MB
08. Events and Streams/07. Stream API.wmv
2.11MB
08. Events and Streams/03. Event API.wmv
1.93MB
06. Thread Cooperation and Synchrnization/02. Barrier Synchronization.wmv
1.85MB
01. GPU Architecture Overview/05. Compute Capability.wmv
1.78MB
08. Events and Streams/02. Events.wmv
1.78MB
09. CUDA in Advanced Scenarios/07. Summary.wmv
1.7MB
03. Introduction to CUDA C/01. Overview.wmv
1.67MB
06. Thread Cooperation and Synchrnization/05. Summary.wmv
1.65MB
07. Atomic Operations/02. Why Atomics .wmv
1.64MB
08. Events and Streams/10. Summary.wmv
1.38MB
08. Events and Streams/06. Streams.wmv
1.32MB
08. Events and Streams/01. Overview.wmv
1.32MB
05. The Many Types of Memory/06. Summary.wmv
1.23MB
04. Parallel Programming Patterns/05. Scatter.wmv
1.21MB
03. Introduction to CUDA C/07. Error Handling.wmv
1.19MB
09. CUDA in Advanced Scenarios/01. Overview.wmv
1.11MB
07. Atomic Operations/01. Overview.wmv
1.04MB
07. Atomic Operations/06. Summary.wmv
869.26KB
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