Provided by: nvidia-cuda-toolkit_10.1.243-3_amd64 bug

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.

SEE ALSO

       cuda-libraries(7), cuda-gdb(1)

NOTES

       For more information, please see the online documentation at http://docs.nvidia.com/cuda/index.html.

COPYRIGHT

       ©2013 NVIDIA Corporation. All rights reserved.