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种子名称： Parallel Computing with CUDA
文件类型： 视频
文件数目： 60个文件
文件大小： 535.84 MB
收录时间： 2021-1-1 12:51
已经下载： 3次
资源热度： 162
最近下载： 2024-7-1 02:14

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Parallel Computing with CUDA.torrent

09. CUDA in Advanced Scenarios/05. Multi-GPU Programming.wmv47.04MB

06. Thread Cooperation and Synchrnization/03. Thread Synchronization Demo.wmv45.9MB

08. Events and Streams/08. Example (single stream).wmv32.99MB

03. Introduction to CUDA C/03. Hello, CUDA.wmv31.69MB

04. Parallel Programming Patterns/04. Gather.wmv27.3MB

09. CUDA in Advanced Scenarios/03. Device API.wmv25.8MB

04. Parallel Programming Patterns/03. Map.wmv25.65MB

07. Atomic Operations/05. Monte Carlo Pi.wmv25.42MB

04. Parallel Programming Patterns/06. Reduce.wmv23.65MB

07. Atomic Operations/04. Atomic Sum.wmv22.04MB

08. Events and Streams/05. Pinned memory.wmv21.36MB

04. Parallel Programming Patterns/07. Scan.wmv18.86MB

08. Events and Streams/09. Example (multiple streams).wmv16.83MB

09. CUDA in Advanced Scenarios/06. Thrust.wmv13.27MB

05. The Many Types of Memory/04. Shared Memory.wmv10.76MB

03. Introduction to CUDA C/08. Device Introspection.wmv10.4MB

02. Tools of The Trade/01. Tools Overview.wmv8.22MB

02. Tools of The Trade/03. Running CUDA Apps.wmv7.94MB

01. GPU Architecture Overview/02. History of GPU Computation.wmv7.19MB

02. Tools of The Trade/02. Using NSight.wmv5.79MB

08. Events and Streams/04. Event example.wmv5.52MB

02. Tools of The Trade/04. Debugging.wmv5.48MB

02. Tools of The Trade/05. Profiling.wmv5.08MB

03. Introduction to CUDA C/06. Grid and Block Dimensions.wmv4.87MB

03. Introduction to CUDA C/02. Compilation Process.wmv4.8MB

01. GPU Architecture Overview/03. GPGPU Frameworks.wmv4.41MB

01. GPU Architecture Overview/01. Course Outline.wmv4.35MB

04. Parallel Programming Patterns/01. Overview.wmv4.22MB

01. GPU Architecture Overview/04. Graphics Processor Architecture.wmv4.08MB

01. GPU Architecture Overview/06. Choosing a Graphics Card.wmv3.73MB

05. The Many Types of Memory/02. Global Memory.wmv3.58MB

09. CUDA in Advanced Scenarios/04. Pinned Memory.wmv3.45MB

03. Introduction to CUDA C/05. Execution Model.wmv3.42MB

04. Parallel Programming Patterns/02. Element Addressing.wmv3.3MB

06. Thread Cooperation and Synchrnization/04. Warp Divergence.wmv3.23MB

07. Atomic Operations/03. Atomic Functions.wmv2.99MB

05. The Many Types of Memory/03. Constant & Texture Memory.wmv2.97MB

09. CUDA in Advanced Scenarios/02. Inline PTX.wmv2.34MB

03. Introduction to CUDA C/04. Location Qualifiers.wmv2.34MB

05. The Many Types of Memory/05. Register & Local Memory.wmv2.28MB

05. The Many Types of Memory/01. Overview.wmv2.28MB

06. Thread Cooperation and Synchrnization/01. Overview.wmv2.28MB

08. Events and Streams/07. Stream API.wmv2.11MB

08. Events and Streams/03. Event API.wmv1.93MB

06. Thread Cooperation and Synchrnization/02. Barrier Synchronization.wmv1.85MB

01. GPU Architecture Overview/05. Compute Capability.wmv1.78MB

08. Events and Streams/02. Events.wmv1.78MB

09. CUDA in Advanced Scenarios/07. Summary.wmv1.7MB

03. Introduction to CUDA C/01. Overview.wmv1.67MB

06. Thread Cooperation and Synchrnization/05. Summary.wmv1.65MB

07. Atomic Operations/02. Why Atomics .wmv1.64MB

08. Events and Streams/10. Summary.wmv1.38MB

08. Events and Streams/06. Streams.wmv1.32MB

08. Events and Streams/01. Overview.wmv1.32MB

05. The Many Types of Memory/06. Summary.wmv1.23MB

04. Parallel Programming Patterns/05. Scatter.wmv1.21MB

03. Introduction to CUDA C/07. Error Handling.wmv1.19MB

09. CUDA in Advanced Scenarios/01. Overview.wmv1.11MB

07. Atomic Operations/01. Overview.wmv1.04MB

07. Atomic Operations/06. Summary.wmv869.26KB