Conference Information
NPC 2019: International Conference on Network and Parallel Computing
http://epcc.sjtu.edu.cn/npc2019
Submission Date:
2019-05-31 Extended
Notification Date:
2019-07-01
Conference Date:
2019-08-22
Location:
Hohhot, China
Years:
16
CCF: c   CORE: c   QUALIS: b3   Viewed: 21395   Tracked: 84   Attend: 21

Conference Location
Call For Papers
High Performance Computing and Big Data are two main areas where NPC 2019 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
Last updated by Dou Sun in 2019-05-25
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20043384613.6%
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Related Journals
CCFFull NameImpact FactorPublisherISSN
bParallel Computing1.281Elsevier0167-8191
cNatural Language Engineering0.432Cambridge University Press1351-3249
bJournal of Parallel and Distributed Computing1.819Elsevier0743-7315
International Journal of Reconfigurable ComputingHindawi1687-7195
New Generation Computing0.795Springer0288-3635
IEEE Transactions on Sustainable Computing2.456IEEE1536-1233
Swarm and Evolutionary Computation6.330Elsevier2210-6502
Journal of Trust Management Springer2196-064X
bNeural Computation1.884MIT Press0899-7667
Reliable Computing0.680Springer1573-1340
Full NameImpact FactorPublisher
Parallel Computing1.281Elsevier
Natural Language Engineering0.432Cambridge University Press
Journal of Parallel and Distributed Computing1.819Elsevier
International Journal of Reconfigurable ComputingHindawi
New Generation Computing0.795Springer
IEEE Transactions on Sustainable Computing2.456IEEE
Swarm and Evolutionary Computation6.330Elsevier
Journal of Trust Management Springer
Neural Computation1.884MIT Press
Reliable Computing0.680Springer
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