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Applications that follow the best practices for the Pascal architecture should typically see speedups on the Volta architecture without any code changes.

This guide summarizes the ways that applications can be fine-tuned to gain additional speedups by leveraging Volta architectural features.

This application note is intended to help developers ensure that their NVIDIA CUDA applications will run properly on GPUs based on the NVIDIA Maxwell Architecture.

This document provides guidance to ensure that your software applications are compatible with Maxwell.

Kepler is NVIDIA's 3rd-generation architecture for CUDA compute applications.

Applications that follow the best practices for the Fermi architecture should typically see speedups on the Kepler architecture without any code changes.

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The intent is to provide guidelines for obtaining the best performance from NVIDIA GPUs using the CUDA Toolkit.Applications that follow the best practices for the Kepler architecture should typically see speedups on the Maxwell architecture without any code changes.This guide summarizes the ways that applications can be fine-tuned to gain additional speedups by leveraging Maxwell architectural features.The PTX string generated by NVRTC can be loaded by cu Module Load Data and cu Module Load Data Ex, and linked with other modules by cu Link Add Data of the CUDA Driver API.This facility can often provide optimizations and performance not possible in a purely offline static compilation.This application note is intended to help developers ensure that their NVIDIA CUDA applications will run properly on GPUs based on the NVIDIA Pascal Architecture.This document provides guidance to ensure that your software applications are compatible with Pascal.I’m currently working on some cool stuff under Linux Mint 10 (64-bit).I like this distro because it works fine for my needs (virtual screens, transparent terminals, gnome 2! But the NVIDIA driver recommended and installed with Mint 10 is an old driver: R260 family.This document shows how to inline PTX (parallel thread execution) assembly language statements into CUDA code.It describes available assembler statement parameters and constraints, and the document also provides a list of some pitfalls that you may encounter.

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