2013
Pluralsight
Dmitri Nesteruk
4h 12m
English
An entry-level course on CUDA - a GPU programming technology from NVIDIA.
-01. GPU Architecture Overview
01. Course Outline.wmv
02. History of GPU Computation.wmv
03. GPGPU Frameworks.wmv
04. Graphics Processor Architecture.wmv
05. Compute Capability.wmv
06. Choosing a Graphics Card.wmv
-02. Tools of The Trade
01. Tools Overview.wmv
02. Using NSight.wmv
03. Running CUDA Apps.wmv
04. Debugging.wmv
05. Profiling.wmv
-03. Introduction to CUDA C
01. Overview.wmv
02. Compilation Process.wmv
03. Hello, CUDA.wmv
04. Location Qualifiers.wmv
05. Execution Model.wmv
06. Grid and Block Dimensions.wmv
07. Error Handling.wmv
08. Device Introspection.wmv
-04. Parallel Programming Patterns
01. Overview.wmv
02. Element Addressing.wmv
03. Map.wmv
04. Gather.wmv
05. Scatter.wmv
06. Reduce.wmv
07. Scan.wmv
-05. The Many Types of Memory
01. Overview.wmv
02. Global Memory.wmv
03. Constant & Texture Memory.wmv
04. Shared Memory.wmv
05. Register & Local Memory.wmv
06. Summary.wmv
-06. Thread Cooperation and Synchrnization
01. Overview.wmv
02. Barrier Synchronization.wmv
03. Thread Synchronization Demo.wmv
04. Warp Divergence.wmv
05. Summary.wmv
-07. Atomic Operations
01. Overview.wmv
02. Why Atomics .wmv
03. Atomic Functions.wmv
04. Atomic Sum.wmv
05. Monte Carlo Pi.wmv
06. Summary.wmv
-08. Events and Streams
01. Overview.wmv
02. Events.wmv
03. Event API.wmv
04. Event example.wmv
05. Pinned memory.wmv
06. Streams.wmv
07. Stream API.wmv
08. Example (single stream).wmv
09. Example (multiple streams).wmv
10. Summary.wmv
-09. CUDA in Advanced Scenarios
01. Overview.wmv
02. Inline PTX.wmv
03. Device API.wmv
04. Pinned Memory.wmv
05. Multi-GPU Programming.wmv
06. Thrust.wmv
07. Summary.wmv
http://pluralsight.com/
Download File Size:454 MB
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