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检索条件"机构=Key Laboratory of Computer System and Architecture Institute of Computing Technology"
1006 条 记 录,以下是511-520 订阅
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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts
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BMC NEUROSCIENCE 2016年 第1期17卷 1-112页
作者: [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mits...
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Predoop: Preempting reduce task for job execution accelerations
Predoop: Preempting reduce task for job execution accelerati...
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4th and 5th Workshops on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2014
作者: Liang, Yi Wang, Yufeng Fan, Minglu Zhang, Chen Zhu, Yuqing Department of Computer Science Beijing University of Technology Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy Sciences Beijing China
Map/Reduce is a popular parallel processing framework for data intensive computing. For overlapping the Map task’s execution phase and the Reduce task’s intermediate data fetching and merging phase, existing Map/ Re... 详细信息
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Dynamic and adaptive calling context encoding
Dynamic and adaptive calling context encoding
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12th ACM/IEEE International Symposium on Code Generation and Optimization, CGO 2014
作者: Li, Jianjun Wang, Zhenjiang Wu, Chenggang Hsu, Wei-Chung Xu, Di State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Department of Computer Science National Taiwan University Taipei Taiwan IBM Research-China Beijing China
Calling context has been widely used in many software development processes such as testing, event logging, and program analysis. It plays an even more important role in data race detection and performance bottleneck ... 详细信息
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BPM/BPM+: Software-based dynamic memory partitioning mechanisms for mitigating dram bank-/channel-level interferences in multicore systems
BPM/BPM+: Software-based dynamic memory partitioning mechani...
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作者: Liu, Lei Cui, Zehan Li, Yong Bao, Yungang Chen, Mingyu Wu, Chengyong State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Graduate School CAS China Department of ECE University of Pittsburgh United States
The main memory system is a shared resource in modern multicore machines that can result in serious interference leading to reduced throughput and unfairness. Many new memory scheduling mechanisms have been proposed t... 详细信息
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BDGS: A scalable big data generator suite in big data benchmarking
BDGS: A scalable big data generator suite in big data benchm...
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2013 Workshop Series on Big Data Benchmarking, WBDB.cn and WBDB.us.
作者: Ming, Zijian Luo, Chunjie Gao, Wanling Han, Rui Yang, Qiang Wang, Lei Zhan, Jianfeng State Key Laboratory Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Department of Computing Imperial College London London United Kingdom
Data generation is a key issue in big data benchmarking that aims to generate application-specific data sets to meet the 4V requirements of big data. Specifically, big data generators need to generate scalable data (V... 详细信息
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Parallel optimization of geometric correction algorithm based on CPU-GPU hybrid architecture
Parallel optimization of geometric correction algorithm base...
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International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2014
作者: Bai, Hong Tao Li, Yu Gang Chen, Li Ying Wang, Yan Ling Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing 100081 China Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China
Geometric correction is an essential processing procedure in remote sensing image processing. The algorithms used in geometric correction are time intensive and the size of remote sensing images is very large. Meanwhi... 详细信息
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Test and repair flow for shared BISR in asynchronous multi-processors
Test and repair flow for shared BISR in asynchronous multi-p...
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20th IEEE International Symposium on Asynchronous Circuits and systems, ASYNC 2014
作者: Wang, Gang Wang, Xu Chen, Xinke Xue, Shuangbai Key Laboratory of Computer System and Architecture Chinese Academy of Sciences Beijing 100190 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Loongson Technology Corporation Limited Beijing 100190 China Shandong Eway Information and Technology Co. Ltd China
We present a hierarchical test and repair flow for shared BISR (Built-In Self-Repair) in asynchronous multi-processors. The flow partitions the memories local to a processor in groups and treats the groups as a whole ... 详细信息
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Concurrency bug localization using shared memory access pairs  14
Concurrency bug localization using shared memory access pair...
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2014 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2014
作者: Wang, Wenwen Wu, Chenggang Yew, Pen-Chung Yuan, Xiang Wang, Zhenjiang Li, Jianjun Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering University of Minnesota at Twin-Cities United States
Non-determinism in concurrent programs makes their debugging much more challenging than that in sequential programs. To mitigate such difficulties, we propose a new technique to automatically locate buggy shared memor... 详细信息
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Concurrency bug localization using shared memory access pairs
Concurrency bug localization using shared memory access pair...
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作者: Wang, Wenwen Wu, Chenggang Yew, Pen-Chung Yuan, Xiang Wang, Zhenjiang Li, Jianjun Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering University of Minnesota at Twin-Cities United States
Non-determinism in concurrent programs makes their debugging much more challenging than that in sequential programs. To mitigate such difficulties, we propose a new technique to automatically locate buggy shared memor... 详细信息
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The implications of diverse applications and scalable data sets in benchmarking big data systems
The implications of diverse applications and scalable data s...
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2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012
作者: Jia, Zhen Zhou, Runlin Zhu, Chunge Wang, Lei Gao, Wanling Shi, Yingjie Zhan, Jianfeng Zhang, Lixin State Key Laboratory Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China National Computer Network Emergency Response Technical Team Coordination Center of China China
Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in short big data systems) is a hot topic... 详细信息
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