SC 2020 : Conference on High Performance Computing (Supercomputing)

  in Conferences   Posted on February 26, 2020

Conference Information

Submission Deadline Wednesday 08 Apr 2020 Proceedings indexed by :
Conference Dates Nov 15, 2020 - Nov 20, 2020
Conference Address Atlanta, United States
Conference & Submission Link https://sc20.supercomputing.org/submit/paper-submissions/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 69
Category Rankings
Hardware, Robotics & Electronics 9
Databases & Information Systems 11

Google Scholar H5-index:
43

Conference Call for Papers

Overview

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.

Algorithms

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

Topics include:

Algorithms for discrete and combinatorial optimization

Algorithms for hybrid and heterogeneous systems with accelerators

Algorithms for numerical methods and algebraic systems

Data-intensive parallel algorithms

Energy- and power-efficient algorithms

Fault-tolerant algorithms

Graph and network algorithms

Load balancing and scheduling algorithms

Uncertainty quantification methods

Other high performance computing algorithms

Applications

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

Topics include:

Bioinformatics and computational biology

Computational earth and atmospheric sciences

Computational materials science and engineering

Computational astrophysics/astronomy, chemistry, and physics

Computational fluid dynamics and mechanics

Computation and data enabled social science

Computational design optimization for aerospace, energy, manufacturing, and industrial applications

Computational medicine and bioengineering

Improved models, algorithms, performance or scalability of specific applications and respective software

Use of uncertainty quantification, statistical, and machine-learning techniques to improve a specific HPC application

Other high performance applications

Architecture and Networks

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

Topics include:

Architectures to support extremely heterogeneous composable systems (e.g., chiplets)

Design-space exploration / Performance projection for future systems

Evaluation and measurement on testbed or production hardware systems

Hardware acceleration of containerization and virtualization mechanisms for HPC

Interconnect technologies, topology, switch architecture, optical networks, software-defined networks

I/O architecture/hardware and emerging storage technologies

Memory systems: caches, memory technology, non-volatile memory, memory system architecture (to include address translation for cores and accelerators)

Multi-processor architecture and micro-architecture (e.g. reconfigurable, vector, stream, dataflow, GPUs, and custom/novel architecture)

Network protocols, quality of service, congestion control, collective communication

Power-efficient design and power-management strategies

Resilience, error correction, high availability architectures

Scalable and composable coherence (for cores and accelerators)

Secure architectures, side-channel attacks, and mitigation

Software/hardware co-design, domain specific language support

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.

Topics include:

HPC, cloud, and edge computing convergence at infrastructure and software level, including service-oriented architectures and tools

Job/workflow scheduling, load balancing, resource provisioning, energy efficiency, fault tolerance, and reliability

Methods, systems, and architectures for big data and data stream processing in HPC and cloud systems

OS/runtime and system-software enhancements for many-core systems, accelerators, complex memory space/hierarchies, I/O, and network structures

Parallel programming models and tools at the intersection of cloud, edge, and HPC

Self-configuration, management, information services, monitoring, and introspective system software

Security and identity management in HPC and cloud systems

Scalable HPC and machine learning case studies on distributed and/or cloud systems

Virtualization and containerization to support HPC and emerging uses such as machine learning

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.

Topics include:

Cloud-based analytics at scale

Databases and scalable structured storage for HPC

Data mining, analysis, and visualization for modeling and simulation

Data analytics and frameworks supporting data analytics

Ensemble analysis and visualization

I/O performance tuning, benchmarking, and middleware

Next-generation storage systems and media

Parallel file, object, key-value, campaign, and archival systems

Provenance, metadata, and data management

Reliability and fault tolerance in HPC storage

Scalable storage, metadata, namespaces, and data management

Storage tiering, entirely on-premise internal tiering as well as tiering between on-premise and cloud

Storage innovations using machine learning such as predictive tiering, failure, etc.

Storage networks

Scalable Cloud, Multi-Cloud, and Hybrid storage

Storage systems for data-intensive computing

Machine Learning and HPC

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

Topics include:

ML for HPC / HPC for ML

Data parallelism and model parallelism

Efficient hardware for machine learning

Hardware-efficient training and inference

Performance modeling of machine learning applications

Scalable optimization methods for machine learning

Scalable hyper-parameter optimization

Scalable neural architecture search

Scalable IO for machine learning

Systems, compilers, and languages for machine learning at scale

Testing, debugging, and profiling machine learning applications

Visualization for machine learning at scale

Performance Measurement, Modeling, and Tools

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

Topics include:

Analysis, modeling, or simulation methods for performance

Methodologies, metrics, and formalisms for performance analysis and tools

Novel and broadly applicable performance optimization techniques

Performance studies of HPC hardware and software subsystems such as processor, network, memory, accelerators, and storage

Scalable tools and instrumentation infrastructure for measurement, monitoring, and/or visualization of performance

System-design tradeoffs between performance and other metrics (e.g., performance and resilience, performance and security)

Workload characterization and benchmarking techniques

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.

Topics include:

Compiler analysis and optimization; program transformation

Parallel programming languages, libraries, models, and notations

Parallel application frameworks

Programming language and compilation techniques for reducing energy and data movement (e.g., precision allocation, use of approximations, tiling)

Program analysis, synthesis, and verification to enhance cross-platform portability, maintainability, result reproducibility, resilience (e.g., combined static and dynamic analysis methods, testing, formal methods)

Runtime systems as they interact with programming 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 R&D aspects of the pragmatic practices of HPC, including operational IT infrastructure, services, facilities, large-scale application executions and benchmarks.

Topics include:

Bridging of cloud data centers and supercomputing centers

Comparative system benchmarking over a wide spectrum of workloads

Containers at scale: performance and overhead

Deployment experiences of large-scale infrastructures and facilities

Facilitation of “big data” associated with supercomputing

Infrastructural policy issues, especially international experiences

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

Software engineering best practices for HPC

User support experiences with large-scale and novel machines

Reproducibility of data

Preparing Your Submission

A paper submission has three components: the paper itself, an Artifact Description Appendix (AD), and an Artifact Evaluation Appendix (AE). The Artifact Description Appendix, or explanation of why there is no artifact description, is mandatory. The Artifact Evaluation Appendix is optional.

Eligibility

Papers that have not previously been published in peer-reviewed venues are eligible for submission to SC. For example, papers pre-posted to arXiv, institutional repositories, and personal websites (but no other peer-reviewed venues) remain eligible for SC submission. Papers that were published in a workshop are eligible if they have been substantially enhanced (i.e. 30% new material).

Paper Format

Submissions are limited to 10 pages, excluding the bibliography, using the IEEE proceedings template, with line numbering enabled to help with review.

AD and AE appendices are automatically generated and do not count against the 10 pages.

Areas

Authors must indicate a primary area from the choices on the submissions form and are strongly encouraged to indicate a secondary area.

Where to Submit

Papers are submitted via the SC submissions website. View a sample form.

Transparency and Reproducibility Initiative

We believe that reproducible science is essential, and that SC continues to innovate in this area. For SC20 there will be greater integration of the AD/AE Appendices into the review process with AD/AE Appendices considered at every stage of paper review. AD/AE Appendices will continue to be auto-generated from author responses to a standard form that is embedded in the SC online submission system. While the Artifact Description Appendix, or explanation of why there is no Artifact Description Appendix, is mandatory, the Artifact Evaluation Appendix continues to be optional. Learn more about the Transparency and Reproducibility Initiative.

Review Criteria

Papers are peer-reviewed by a committee of experts. Each paper will have three to four reviews. The peer review is a double-blind process. Reviewers do not have access to the names of authors. While Papers Committee members are named on the SC20 Planning Committee page, the names of the individuals reviewing each paper are not made available to the paper authors. Learn more about the SC double-blind review policy, and see examples in the Papers FAQ (Available Winter 2020).

Review, Response, Revision

From an author’s perspective, the following are the key steps:

Authors submit a title, abstract, and other metadata.

Authors submit their full paper and complete an AD/AE form describing their computational artifacts (or lack of computational artifacts) and, optionally, text discussing how they evaluated their computational results.

Papers not respecting the submission guidelines will be subject to immediate reject without review. For example, papers not respecting the double-blind submission or papers exceeding the page limit.

Authors receive an initial set of reviews of their paper. Papers not reaching the minimum quality criteria to go to the second review stage will be rejected at this point. Early rejection will allow authors to revise and resubmit their papers to other venues.

Authors of papers that reach the second review stage have an opportunity to revise their paper and prepare an accompanying response to the reviewers.

Author revisions and accompanying response will be available to the reviewers at least a week before the Papers Committee meeting.

Authors are notified of their paper’s status: Accept, Reject, or Major Revisions Required.

In the case of Major Revisions Required, authors prepare a major revision for a third stage review.

After the third stage review, the paper will be either accepted or rejected.

Authors of accepted papers prepare the final version of their paper.

Conflict of Interest

Please review the SC Conference Conflict of Interest guidelines before submitting your paper.

Plagiarism

Please see the IEEE guidelines on identifying plagiarism. Authors should submit new, original work that represents a significant advance from even their own prior publications.

Upon Acceptance

Registration

If your Paper is selected, at least one author must register for the Technical Program in order to attend the SC Conference and present the paper.

Finalizing Accepted Papers

Upon acceptance, all Papers (including those that goes through major revisions) will be listed in the online SC Schedule. We expect this to happen at the end of August 2020.

Proceedings

Papers are archived in the ACM Digital Library and IEEE Xplore; members of SIGHPC or subscribers to the archives may access the full papers without charge. This publication contains the full text of all Papers and their Artifact Description appendices presented at the SC Conference.

On-Site

Schedule and Location

Papers presentations will be held Tuesday–Thursday, November 17–19, 2020. Papers sessions are 30 minutes. Day, time, and location for each paper session will be published in the online SC Schedule by August.

Infrastructure

Papers are assigned either a classroom or a theater room equipped with standard AV facilities:

Projector

Microphone and podium

Wireless lapel microphone or wireless handheld microphone

Projection screen

Awards

Best Paper (BP) and Best Student Paper (BSP) nominations are made during the review process and are highlighted in the online SC schedule. BP and BSP winners are selected at the conference by a committee who attends the corresponding paper presentations, and winners are announced at the Thursday Awards ceremony.

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