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Introduction
2
Overview
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CUDA 40 Features
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Parallel Nsight Overview
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Features
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Setup
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MultiSystem Setup
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How It Works
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Setting Up Synchronization
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Setting Up Local Directory
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Visual Studio Integration
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Visual Studio Disassembly
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Debug Focus Window
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New Analysis Activity
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CUDA Launch Summary
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Memory Copies
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System Level
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Filtering Threads
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Do 3D perf markers
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Do GPU draw calls
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How many draw calls do you need
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API Level Trace
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Alien vs Triangle
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SLI Bridge
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Single Frame Capture
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Saving Captures
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Graphs
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Geometry Units
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CPU Side Statistics
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Min Geometry
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Composite
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Render Target Inspection
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Frames Page
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Inspector
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Navigation Bar
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Shader Window
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Pixel History
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Pixel Experiment
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Debug Pixel
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Fragments
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Pixel Picture
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Exit Debugging
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Profile Frame
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Targeted Experiments
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Syncing Data
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State Buckets
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Draw Calls
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Dispatch Calls
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Summary Page
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Input Assembly
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Frame Buffer
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Wait Time
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Unweighted
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Primitives
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Overview Graph
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Sinking With The Target
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Utilization Information
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View All Graphics Resources
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Graphics Profiler
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Driver Independence
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Latest Hardware Support
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Latest CUDA Support
Description:
Explore the powerful features of Parallel Nsight™ 2.0 and CUDA 4.0 in this SIGGRAPH 2011 conference talk. Dive into the CUDA parallel computing architecture and its ability to dramatically increase computing and graphics performance by leveraging GPU power. Learn about Parallel Nsight, the first development environment for CUDA and graphics application development integrated into Microsoft Visual Studio. Discover key features, setup processes, and practical applications through comprehensive demonstrations and explanations. Gain insights into Visual Studio integration, debugging tools, performance analysis, and optimization techniques for CUDA and graphics applications. Explore topics such as multi-system setup, synchronization, disassembly, memory copies, API level tracing, and SLI bridge functionality. Examine advanced features like single frame capture, render target inspection, pixel history, and targeted experiments. Understand how to leverage the latest hardware and CUDA support for optimal performance in your parallel computing projects. Read more

Parallel Nsight 2.0 and CUDA 4.0 for GPU Computing - SIGGRAPH 2011

Nvidia
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