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PROGRAM:
NAME
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
DESCRIPTION
nvcc
The main wrapper for the NVIDIA CUDA Compiler suite. Used to compile and link both host
and gpu code.
cuobjdump
The NVIDIA CUDA equivalent to the Linux objdump tool.
nvdisasm
The NVIDIA CUDA disassembler for GPU code
nvprune
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
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.
nvvp
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.
nvprof
The nvprof profiling tool enables you to collect and view profiling data from the command-
line
cuda-memcheck
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.
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