Conference Information
SC 2020: International Conference for High Performance Computing, Networking, Storage, and Analysis
Submission Date:
2020-04-14 Extended
Notification Date:
Conference Date:
Atlanta, Georgia, USA
CCF: a   CORE: a   QUALIS: a1   Viewed: 20892   Tracked: 101   Attend: 8

Conference Location
Call For Papers
The SC Papers program is the leading venue for presenting high-quality original research, groundbreaking ideas, and compelling insights on future trends in high performance computing, networking, storage, and analysis. Technical papers are peer-reviewed and an Artifact Description is mandatory for all papers submitted to SC20. Submissions will be considered on any topic related to high performance computing within the nine areas below. Small-scale studies – including single-node studies –are welcome as long as the paper clearly conveys the work’s contribution to high-performance computing.


The development, evaluation, and optimization of scalable, general-purpose, high performance algorithms.


The development and enhancement of algorithms, parallel implementations, models, software and problem solving environments for specific applications that require high performance resources.

Architecture and Networks

All aspects of high performance hardware including the optimization and evaluation of processors and networks.

Clouds and Distributed Computing

Cloud and system software architecture, configuration, optimization and evaluation, support for parallel programming on large-scale systems or building blocks for next-generation HPC architectures.

Data Analytics, Visualization, and Storage

All aspects of data analytics, visualization, storage, and storage I/O related to HPC systems. Submissions on work done at scale are highly favored.

Machine Learning and HPC

The development and enhancement of algorithms, systems, and software for scalable machine learning utilizing high-performance and cloud computing platforms.

Performance Measurement, Modeling, and Tools

Novel methods and tools for measuring, evaluating, and/or analyzing performance for large scale systems.

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 HPC architectures.

State of the Practice

All R&D aspects of the pragmatic practices of HPC, including operational IT infrastructure, services, facilities, large-scale application executions and benchmarks.
Last updated by Roth Xu in 2020-04-05
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