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NPC 2017 : Network and Parallel ComputingConference Series : Network and Parallel Computing | |||||||||||||||
Link: http://npc-china2017.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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CALL FOR PAPERS NPC 2017 The 14th IFIP International Conference on Network and Parallel Computing October 20th-21st 2017, Hefei, China http://npc-china2017.org/ ***************************************************************************** IMPORTANT DATES Paper Submissions Due: June 10th, 2017 Results notification: July 24th, 2017 Camera-ready version due: August 7th, 2017 High Performance Computing and Big Data are two main areas where NPC 2017 will provide a dynamic forum to explore, discuss and debate state-of-the-art technology issues and challenges. High-performance computers and big-data systems are tied inextricably to the broader computing ecosystem and its designs and market adoption. They also highlight information security needs and economic competitiveness in ways that distinguish them from most other scientific instruments. We strongly believe that the stake is high, and it is far beyond the boundaries of nations and continents, and should strongly encourage a broad international participation. We share the view that, during the past decade, the tools and cultures of high-performance computing and big data analytics are diverging to the detriment of both, and the international community should find a unified path that can best serve the need of a broad spectrum of major application areas. Unlike other tools, which are limited to particular scientific domains, computational modeling and data analytics are applicable to all areas of science and engineering, as they breathe life into the underlying mathematics of scientific models. Parallel and distributed applications and algorithms: * Parallel and distributed issues and opportunities on artificial intelligence application. * Parallel algorithms for computational and data-enabled scientific, engineering, biological and medical applications * Parallel algorithms for accelerators, neuromorphic architectures, and other emerging architectures * Parallel and distributed architectures and systems Emerging architectures and systems at all scales, from embedded to cloud: * Systems for enabling parallelism at an extreme scale * Power-efficient and green computing systems * Neuromorphic architectures and cognitive computing accelerators * Heterogeneous multicore architectures and accelerators * In-Memory and near-data computing * Network and interconnect architectures * Storage systems in novel big data architectures * Parallel and distributed software environments and tools Programming models and compilation for existing and emerging platforms: * Dataflow programming models, frameworks, languages and environments for data-enabled platforms * Virtualization of machines, networks, and storage * I/O, file systems, and data management * Resource management, scheduling, and load balancing NPC is in its 14th year and previous conferences have attracted high quality papers and wide international participation. Top ranked, reviewed papers in NPC 2017 will be published directly (without further extension) by the International Journal of Parallel Programming (SCI indexed). To qualify for publication in IJPP, all submissions must meet the paper length and other requirements of IJPP. More information can be found: http://www.springer.com/computer/theoretical+computer+science/journal/10766. Other accepted papers will be published in the conference proceedings, by LNCS, Springer (EI, Scopus). ORGANIZING COMMITTEE GENERAL CO-CHAIRS Michael Gschwind, IBM, USA Weisong Shi, Wayne State University, USA ORGNIZATION CHAIR Guohua Cheng, Hangzhou Jianpei Techlogy Co.,Ltd China PROGRAM CO-CHAIRS Hong An, University of Science and Technology of China, China Mahmut Kandemir, Pennsylvania State University, USA PUBLICATIONS CHAIR Xuanhua Shi, Huazhong Univ. of Science & Technology, China LOCAL ARRANGEMENTS CHAIRS Yu Zhang, University of Science and Technology of China, China PUBLICITY CO-CHAIRS Yong Chen,Texas Tech University, USA Guangzhong Sun, University of Science and Technology of China, China Keiji Kimura, Waseda University Stephane Zuckerman, Michigan Technological University REGISTRATION CHAIR Chao Wang, University of Science and Technology of China, China WEB CHAIR Hui Sun, Anhui University, China STEERING COMMITTEE Kemal Ebcioglu, Global Supercomputing USA (Chair) Hai Jin, Huazhong Univ. of Science & Technology, China Chen Ding, University of Rochester, USA Jack Dongarra, Univ of Tennessee, USA Guangrong Gao, Univ of Delaware, USA Daniel Reed, University of Iowa, USA Zhiwei Xu, Institute of Computing Technology, China Yoichi Muraoka, Waseda University, Japan Jean-Luc Gaudiot, University of California Irvine, USA Guojie Li, Institute of Computing Technology, China Ninghui Sun, Institute of Computing Technology, China Viktor Prasanna, University of Southern California, USA Weisong Shi, Wayne State University, USA Tony Hey, Microsoft, USA |
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