The only performance issue with shared memory is bank conflicts, which I discuss later. (On devices of Compute Capability 1.2 or later, the memory system can fully coalesce even the reversed index stores to global memory. But this technique is still useful for other access patterns, as I’ll...
This is all somewhat geeky, low-level stuff, but this is High-Performance Computing we're talking about, right? If you're not interested in how to best exploit the underlying hardware paradigms, i.e. implementing and/or developing algorithms which ...
We describe a set of implementation alternatives and evaluate their performance implications for CAF variants of the STREAM, Random Access, Spark98 and NAS MG & SP benchmarks. We compare the performance of library-based implementations of one-sided communication with fine-grain communication that ...
另请参见 Rajat Garg 和 Ilya Sharapov 合著的《Techniques for Optimizing Applications: High Performance Computing》,Sun Microsystems BluePrints 出版 (http://www.sun.com/blueprints/pubs.html)。 10.1 基本概念 应用程序的并行化(或多线程)是指对程序进行编译,使其能够在多处理器系统上或多线程环境中运行。并...
详细信息,请参阅 performance_library 自述文件和 《Sun 性能库用户指南》.(性 能库例程的手册页位于第 3P 节.) 1.6 区间运算 Fortran 95 编译器提供编译器标记 -xia 和 -xinterval 以启用新的语言扩展,并生成 相应的代码以实现区间运算计算.(只有 SPARC/UltraSPARC 平台支持区间运算功能.) 详细信息,请参阅 ...
high-performance-fortran 例句 释义: 全部 更多例句筛选 1. On shared memory systems, High Performance FORTRAN is a language suited for parallel programming. 在共享内存系统中,HighPerformanceFORTRAN是一种非常适合并行编程的语言。 www.ibm.com隐私声明 法律声明 广告 反馈 © 2025 Microsoft...
CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran. My previous CUDA Fortran post covered the mechanics of using shared memory, including static and dynamic allocation. In this post I will show some of the ...
2018, High Performance ComputingThomas Sterling, ... Maciej Brodowicz Chapter Introduction 1.3 Basic concepts This section contains a progression of simple CUDA Fortran code examples used to demonstrate various basic concepts of programming in CUDA Fortran. Before we start, we need to define a few ...
CUDA Fortran SC11 用户指南说明书 CUDA Fortran SC11 Dr. Justin Luitjens, NVIDIA Corporation
2.5.3.3 Control of Virtual MemoryCompiling very large routines (thousands of lines of code in a single procedure) at optimization level -O3 or higher may require additional memory that could degrade compile-time performance. You can control this by limiting the amount of virtual memory available ...