Aliases: cuda-memcheck(1), cuda-memcheck(1), cuobjdump(1), cuobjdump(1), nsight(1), nsight(1), nvcc(1), nvcc(1), nvdisasm(1), nvdisasm(1), nvprof(1), nvprof(1), nvprune(1), nvprune(1), nvvp(1), nvvp(1)
nvcc - The NVIDIA CUDA Compiler
cuobjdump - The NVIDIA CUDA Object Utility
nvdisasm - The NVIDIA CUDA disassembler
nvprune - The NVIDIA CUDA Prune Tool
nsight - NVIDIA NSight, Eclipse Edition
nvvp - The NVIDIA CUDA Visual Profiler
nvprof - The NVIDIA CUDA Command-Line Profiler
cuda-memcheck - The NVIDIA CUDA Check Tool
The main wrapper for the NVIDIA CUDA Compiler suite. Used to compile and link both host and gpu code.
The NVIDIA CUDA equivalent to the Linux objdump tool.
The NVIDIA CUDA disassembler for GPU code
The NVIDIA CUDA pruning tool enables you to prune host object files or libraries to only contain device code for the specified targets, thus saving space.
Nsight Eclipse Edition is an integrated development environment (IDE) for developers building CUDA application on Linux and Mac OS X platforms. It is designed to help developers on all stages of the software development process.
The Visual Profiler is a graphical profiling tool that displays a timeline of your application’s CPU and GPU activity, and that includes an automated analysis engine to identify optimization opportunities. The Visual Profiler is available as both a standalone application and as part of Nsight Eclipse Edition.
The nvprof profiling tool enables you to collect and view profiling data from the command-line
cuda-memcheck is a functional correctness checking suite included in the CUDA toolkit. This suite contains multiple tools that can perform different types of checks. The memcheck tool is capable of precisely detecting and attributing out of bounds and misaligned memory access errors in CUDA applications. The tool also reports hardware exceptions encountered by the GPU. The racecheck tool can report shared memory data access hazards that can cause data races.This document describes the usage of these tools.
cuda-memcheck can be run in standalone mode where the user’s application is started under cuda-memcheck. The memcheck tool can also be enabled in integrated mode inside cuda-gdb.
For more information, please see the online documentation at http://docs.nvidia.com/cuda/index.html.
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