CUDA:Documentation

CUDA C Programming Guide

CUDA C Programming Guide v8.0

http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#axzz4Otqd6zIG

CUDA C Programming Guide v9.1.85

Google translate (en -> ko): CUDA_C_Programming_Guide_-v9.1.85-01.pdf, CUDA_C_Programming_Guide-v9.1.85-_02.pdf

CUDA C/C++ Programming Guide

Korea Insurance Development Institute 참조 (보험 개발원)

CUDA C Best Practices Guide

CUDA C Best Practices Guide v7.5 (한글번역)

CUDA C Best Practices Guide v8.0

http://docs.nvidia.com/cuda/cuda-c-best-practices-guide/index.html#axzz4Otqd6zIG

CUDA C Best Practices Guide v9.1.85

Google translate (en -> ko): CUDA_C_Best_Practices_Guide_-_google-trans-ko.pdf

CUDA Toolkit Documentation - v9.1.85

• Pascal Compatibility Guide: Pascal_Compatibility_Guide.pdf
• Volta Compatibility Guide: Volta_Compatibility_Guide.pdf
• Pascal Tuning Guide: Pascal_Tuning_Guide.pdf
• Volta Tuning Guide: Volta_Tuning_Guide.pdf
• PTX Interoperability: PTX_Writers_Guide_To_Interoperability.pdf
• Inline PTX Assembly: Inline_PTX_Assembly.pdf
• CUDA Runtime API: CUDA_Runtime_API.pdf
• CUDA Driver API: CUDA_Driver_API.pdf
• CUDA Math API: CUDA_Math_API.pdf
• NVCC: CUDA_Compiler_Driver_NVCC.pdf
• CUDA-GDB: cuda-gdb.pdf
• CUDA-MEMCHECK: CUDA_Memcheck.pdf
• Nsight Eclipse Edition: Nsight_Eclipse_Edition_Getting_Started.pdf
• Profiler: CUDA_Profiler_Users_Guide.pdf
  • Google translate (en -> ko): CUDA_Profiler_Users_Guide_-v9.1.85-_ko.pdf
• CUDA Binary Utilities: CUDA_Binary_Utilities.pdf

NVIDIA Nsight

• NVIDIA Nsight Visual Studio Edition 5.5 User Guide

NVIDIA® Nsight™ Visual Studio Edition is a development environment for CUDA and graphics applications running on NVIDIA GPUs, which is integrated into Microsoft Visual Studio.

• CUDA Debugger: NVIDIA_Nsight_Visual_Studio_Edition_5.5_User_Guide_-_CUDA_Debugger.zip
• Analysis Tools: NVIDIA_Nsight_Visual_Studio_Edition_5.5_User_Guide_-_Analysis_Tools.zip
• Reference: NVIDIA_Nsight_Visual_Studio_Edition_5.5_User_Guide_-_Reference.zip
  • Kernel-Level Experiments (ko): CUDA_Experiments_-Kernel-Level_Experiments-_ko.zip

Parallel Forall

• CUDA Dynamic Parallelism API and Principles ¹
• CUDA Pro Tip: Minimize the Tail Effect ²
• Accelerate Machine Learning with the cuDNN Deep Neural Network Library
• [추천] CUDA Pro Tip: Optimize for Pointer Aliasing ³
  • Google translate (en -> ko): CUDA_Pro_Tip_-Optimize_for_Pointer_Aliasing-_ko.pdf
• C++11 in CUDA: Variadic Templates ⁴
• The Power of C++11 in CUDA 7 ⁵ (CUDA Labmda)
• [추천] GPU Pro Tip: Fast Dynamic Indexing of Private Arrays in CUDA ⁶
  • Google translate (en -> ko): Fast_Dynamic_Indexing_of_Private_Arrays_in_CUDA_-_ko.pdf
• GPU Pro Tip: CUDA 7 Streams Simplify Concurrency ⁷
• [추천] CUDA Pro Tip: Always Set the Current Device to Avoid Multithreading Bugs ⁸
• Maximizing Unified Memory Performance in CUDA ⁹
• Register Cache: Caching for Warp-Centric CUDA Programs ¹⁰
• Cooperative Groups: Flexible CUDA Thread Programming ¹¹
• Building Cross-Platform CUDA Applications with CMake
• Mixed-Precision Programming with CUDA 8
• GPU-Accelerated Black Hole Simulations
• Fast Multi-GPU collectives with NCCL
• How to Access Global Memory Efficiently in CUDA C/C++ Kernels ¹²
• [추천] CUDA Pro Tip: Occupancy API Simplifies Launch Configuration ¹³
  • Google translate (en -> ko): CUDA_Pro_Tip_-Occupancy_API_Simplifies_Launch_Configuration.pdf-_ko.pdf
• [추천] How to Optimize Data Transfers in CUDA C/C++ ¹⁴
  • NVIDIA GPU - Pinned Host Memory (CUDA) - (ko)
• [추천] How to Implement Performance Metrics in CUDA C/C++ ¹⁵
  • Google translate (en -> ko): How_to_Implement_Performance_Metrics_in_CUDA_C_Cpp_-NVIDIA_Developer_Blog-_ko.pdf
• Unified Memory for CUDA Beginners
• CUDA Pro Tip: Optimized Filtering with Warp-Aggregated Atomics
• How to Query Device Properties and Handle Errors in CUDA C/C++
• How to Overlap Data Transfers in CUDA C/C++ (CUDA Streams)
• An Efficient Matrix Transpose in CUDA C/C++
• Finite Difference Methods in CUDA C/C++, Part 1
• Finite Difference Methods in CUDA C++, Part 2

Popular Posts

• [추천] Tesla V100 White Paper ¹⁶
• CUDA 9 Features Revealed: Volta, Cooperative Groups and More ¹⁷
• [추천] An Even Easier Introduction to CUDA
• Hybridizer: High-Performance C# on GPUs
• An Easy Introduction to CUDA C and C++
• NVIDIA Jetson TX2 Delivers Twice the Intelligence to the Edge
• [추천] Using Shared Memory in CUDA C/C++ ¹⁸
  • Google translate (en -> ko): Using_Shared_Memory_in_CUDA_C_Cpp_-_ko.pdf
• Deep Learning in a Nutshell: Core Concepts
• Inside Volta: The World’s Most Advanced Data Center GPU ¹⁹
• Programming Tensor Cores in CUDA 9 ²⁰
• TensorRT 3: Faster TensorFlow Inference and Volta Support
• NVIDIA Docker: GPU Server Application Deployment Made Easy

Legacy

• [추천] horacio9573.no-ip.org - NVIDIA CUDA Library Documentation 4.0

See also

• CUDA

Favorite site

• CUDA Toolkit Documentation
• [추천] CUDA C/C++ Basics Supercomputing 2011 Tutorial ²¹
• CUDA Advance 교육 (한국 엔비디아): CUDA_Advance_-jahan-_korea_nvidia.pdf

References