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大量平行處理器程式設計訓練課程Programming Massively Parallel Processors: the CUDA experience -Introduction and Motivation
The CUDA Programming Model
CUDA Memories
CUDA Threads
Performance Tuning
Floating-Point Considerations and CUDA for MultiCore CPU
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近年来，计算机图形处理器(GI．apllics Processing Unit,GPU)得到了极大地发展，从最初局限于图形渲染的图形卡，发展为如今可编程的并行计算平台。与CPU的串行计算模式不同，GPU是一种高度并行的流处理器，具有更强的浮点计算能力，在物理模拟、信号分析等许多领域人们将高强度的计算任务以适当的方式转化为流数据计算模式，通过编程在GPU中进行加速计算，通常能获得一个数量级的速度提高，这也是当今的热点研究问题之一。-In recent years, computer graphic
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Akaroa takes a different approach to parallel simulation, that of multiple replications in
parallel or MRIP [1-8]. Instead of dividing up the simulation program, multiple instances
of an ordinary serial simulation program are run simultaneousl
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Real-time performance of adaptive digital signal processing algorithms is required in many applications but it often means a high computational load for many conventional processors. In this paper, we present a configurable hardware architecture for
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Flosolver Mk 8 is the latest family member of the Flosolver series of parallel computers in CSIR-NAL that is
currently being developed, to have a performance of 10 TFLOPS with 1024 processors in it. It is based on
distributed memory concept, usin
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DNA sequence alignment is the most
commonly application in computational biology. It is
essential pre-requisite of many other operations in
computational biology applications. Optimal alignment
for a large scale size DNA sequence dataset is a
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一种 SSI 光电编码器数据并行采集设计方法
在光电编码器上
得到了越来越广泛的应用，然而大多数计算机和处理器上没有提供SSI接口，这在一定程度上限
制了SSI接口光电编码器的推广和应用。基于复杂可编程逻辑器件（ CPLD）开发的SSI接口模块
SSI208P，实现了SSI接口编码器数据的高速并行采集。本文对SSI208P模块进行了详细介绍，并
给出了硬件设计和软件设计思路及实现方法。-A design method for data parallel acquisition
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