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HSA(异构计算架构)介绍
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2014-05-29
14:07:47
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来自AMD的资深工程师陆璐讲解了异构系统的体系结构(HSA)诞生的历史以及现在的软件生态系统。视频请见:http://v.csdn.hudong.com/s/article.html?arcid=15816958
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HANJIN CHU, DIRECTOR, HETEROGENEOUS SOLUTIONS, AMD CHINA
HETEROGENEOUS SYSTEM ARCHITECTURE (HSA) AND THE
SOFTWARE ECOSYSTEM
CUDA BRINGS PERFORMANCE TO PRO/RESEARCH ON
DISCRETE GPU
Adoption
2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |
CUDA Announced
CUDA gave developers access to unprecedented performance
Not easy to use …but enough performance-hungry developers willing to endure pain
Low Consumer space adoption … esp. due to lack of cross-platform
150K+ downloads
500+ Apps*
1.5M downloads
1200+ Apps
* <5% Consumer
20+% Professional
70+% Research
THE RUNAWAY SUCCESS OF JAVA
Easy to program
Truly cross platform – Write Once Run Anywhere
Lack of performance efficiency offset by platform capability
Adoption
1996 | 1999 | 2002 | 2005 | 2008 | 2011 |
JDK1.0
Java 7
10M+ developers
Milllions of Apps
J2SE 5.0
4.5M developers
Java SE 6
6M developers
4 | 2013 TE Staff Planning Meeting| Confidential
CURRENT HETEROGENEOUS SYSTEM: CPU+dGPU
Other Highly Parallel
Workloads
Graphics Workloads
Serial/Task-Parallel
Workloads
NUMA based CPU + GPU can reach high performance but
• Memory Copy always Power Consumption
• System Cost always high and not flexible
OPENCL’S CROSS-PLATFORM APPEAL ON APU/DGPU
Adoption
2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |
OpenCL 1.0
Announced
Abundant performance + same complexity as CUDA programming
Cross platform resonates with developers (needs per-platform
optimization)
35k+ downloads
11 Llano launch
Apps
300K+ downloads
100+ Apps
OpenCL 1.1
SDK 2.2
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