The SC Conference has a long tradition of welcoming our first time attendees. We aim to attract new and diverse groups of HPC professionals and students to the conference each year with the goal of sparking new conversations, new connections, and new ideas. However, as a first time attendee, we understand that it can be difficult to navigate the conference and experience all that SC17 has to offer.
Algorithms: The development, evaluation and optimization of scalable, general-purpose, high-performance algorithms.
Topics include:
Applications: The development and enhancement of algorithms, models, software and problem solving environments for domain-specific applications that require high-performance resources.
Topics include:
Architecture and Networks: All aspects of high-performance hardware including the optimization and evaluation of processors and networks.
Topics include:
Clouds and Distributed Computing: All aspects of clouds and distributed computing that are related to high-performance computing systems, including architecture, configuration, optimization and evaluation.
Topics include:
Data Analytics, Visualization and Storage: All aspects of data analytics, visualization and storage related to high-performance computing systems.
Topics include:
Databases and scalable structured storage for HPC
Data mining, analysis and visualization for modeling and simulation
I/O performance tuning, benchmarking and middleware
Next-generation storage systems and media
Parallel file, storage and archival systems
Provenance
Reliability and fault tolerance in HPC storage
Scalable storage, metadata and data management
Storage networks
Storage systems for data intensive computing
Visualization and image processing
Performance: Cross-cutting aspects of large-scale performance, including power and/or resilience, that typically span multiple areas of expertise and are crucial factors in the design of scalable high-performance computing systems.
Topics include:
Analysis, modeling or simulation for performance, power and/or resilience
Empirical measurement of performance, power and/or resilience on real-world systems
Methodologies and formalisms for performance, power and/or resilience
Methodologies, metrics and workloads for performance, power and/or resilience analysis and tools
Performance, power and/or resilience analysis beyond execution time and flop/s
Performance, power and/or resilience studies of HPC subsystems, such as processor, network, memory and I/O
Tools, code instrumentation and instrumentation infrastructure for measurement and monitoring of performance, power and/or resilience
Workload characterization and benchmarking
Programming Systems: Technologies that support parallel programming for large-scale systems as well as smaller-scale components that will plausibly serve as building blocks for next-generation high-performance computing architectures.
Topics include:
Compiler analysis and optimization; program transformation
Parallel application frameworks
Parallel programming languages, libraries, models and notations
Runtime systems
Solutions for parallel programming challenges (e.g., interoperability, memory consistency, determinism, race detection, work stealing or load balancing)
Tools for parallel program development (e.g., debuggers and integrated development environments)
State of the Practice: All aspects related to the pragmatic practices of HPC, including infrastructure, services, facilities and large-scale application executions. Submissions that develop best practices, optimized designs or benchmarks are of particular interest. Although concrete case studies within a conceptual framework often serve as the basis for accepted papers, how the experience generalizes to wider applicability should be explored.
Topics include:
Bridging of cloud data centers and supercomputing centers
Comparative system benchmarking over a wide spectrum of workloads
Deployment experiences of large-scale infrastructures and facilities
Facilitation of “big data” associated with supercomputing
Long-term infrastructural management experiences
Pragmatic resource management strategies and experiences
Procurement, technology investment and acquisition best practices
Quantitative results of education, training and dissemination activities
User support experiences with large-scale and novel machines
Infrastructural policy issues, especially international experiences
System Software: Operating system (OS), runtime system and other low- level software research & development that enables allocation and management of hardware resources for high-performance computing applications and services.
Topics include:
Alternative and specialized parallel operating systems and runtime systems
Approaches for enabling adaptive and introspective system software
Communication optimization
Distributed shared memory systems
System support for global address spaces
Enhancements for attached and integrated accelerators
Interactions between the OS, runtime, compiler, middleware, and tools
Resource management
Run-time and OS management of complex memory hierarchies
System software strategies for controlling energy and temperature
Support for fault tolerance and resilience
Virtualization and virtual machines
11月12日
2017
11月17日
2017
摘要截稿日期
初稿截稿日期
注册截止日期
2025年11月16日 美国 St. Louis
2025 International Conference for High Performance Computing, Networking, Storage and Analysis2023年11月12日 美国 丹佛(Denver)
International Conference for High Performance Computing, Networking, Storage and Analysis2021年11月14日 美国 Atlanta
SC21: International Conference for High Performance Computing, Networking, Storage and Analysis2020年11月15日 美国
SC20: International Conference for High Performance Computing, Networking, Storage and Analysis2019年11月17日 美国
SC19: International Conference for High Performance Computing, Networking, Storage and Analysis2018年11月01日 美国 Washington, USA
SC18: International Conference for High Performance Computing, Networking, Storage and Analysis2016年11月13日 美国 Salt Lake,USA
2016 高性能计算,网络,存储和分析国际会议2015年11月15日 美国
2015年高性能计算,网络,存储和分析国际会议2013年11月17日 美国
2013年高性能计算,网络,存储分析国际会议
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