CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
SIMD技术与向量数学库研究
Authors
张云泉
李焱
+3 more
王可
解庆春
许亚武
Publication date
1 January 2011
Publisher
Abstract
首先,结合Intel,AMD和IBM处理器,介绍了单指令流多数据流(SIMD)向量化技术及其各自的特点。其次,在3种平台上对各自开发的函数库中的部分向量数学函数进行了测试。结果表明,相对传统的标量计算,向量化技术带来的加速比较高,特别是Cell SDK函数,因其独特的体系结构,多个向量处理单元带来的平均加速比为10。最后,通过测试结果的对比,发现不同数学库中的向量函数之间在性能方面也存在着差异,并对差异原因进行了分析,得出性能差异主要是处理器架构和向量计算单元个数和访存等因素造成的
Similar works
Full text
Available Versions
Institute Of Software, Chinese Academy Of Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:ir.iscas.ac.cn:311060/1399...
Last time updated on 30/12/2017