.png){kind=icon}
返回
MINIME: Pattern-Aware Multicore Benchmark Synthesizer
.png){kind=icon}
PRE
AI
DOI：10.1109/TC.2014.2349522.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a novel automated multicore benchmark synthesis framework with characterization and generation components. Our framework uses parallel patterns in capturing important characteristics of multi-threaded applications and generates synthetic multicore benchmarks from those applications. The resulting synthetic benchmarks are small, fast, portable, human-readable, and they accurately reflect microarchitecture dependent and independent characteristics of the original multicore applications. Also, they can use either Pthreads or MCA libraries. We implement our techniques in the MINIME tool and generate synthetic benchmarks from PARSEC, Rodinia, and EEMBC Multibench (TM) benchmarks on x86 and Power Architecture (R) platforms. We show that synthetic benchmarks are representative across a range of multicore machines with different architectures, while being on average 21 x faster and 14 x smaller than original benchmarks.
Keyword:
Multicore systems
parallel patterns
synthetic benchmarks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
5.4K
被引数:
9.8K
机构
引用论文
.png){kind=icon}
Fabrication and evaluation of gold nanoparticles by ball milling, Hall-Williamson and x-ray diffraction method通过球磨法制备金纳米颗粒及其评价，采用Hall-Williamson方法和X射线衍射法。
PREAI
分享收藏
A Resonant Reactive Shielding for Planar Wireless Power Transfer System in Smartphone Application
PREAI
分享收藏Partial multidimensional grid generation method for efficient calculation of nuclear wavefunctions
PREAI
分享收藏
查看更多内容