[hpc-announce] IEEE Cluster 2021 - Call for Papers - Deadline Extended to May 24
Cathie Olschanowsky
catherineolschan at boisestate.edu
Fri May 7 12:30:38 CDT 2021
========================================================================
IEEE Cluster 2021
Call for Papers
IEEE Cluster 2021 is the 23rd edition
of the IEEE Cluster conference series.
Portland, OR, USA
September 7-10, 2021
https://clustercomp.org/2021/
========================================================================
IEEE Cluster 2021 is the 23rd edition of the IEEE Cluster conference
series, organized in cooperation with SIGHPC.
Clusters remain the primary system architecture for building many of
today’s rapidly evolving computing infrastructures and are used to
solve some of the most complex problems. The challenges to make them
scalable, efficient, productive, and increasingly effective requires a
community effort in the areas of cluster system design, advancing the
capabilities of the software stack, system management and monitoring,
and the design of algorithms, methods, and applications to leverage
the overall infrastructure.
Following the successes of previous IEEE Cluster conferences, for IEEE
Cluster 2021, which will be held September 7 - 10, 2021 in Portland,
OR, we again solicit high-quality original work that advances the
state-of-the-art in clusters and closely related fields.
All papers will be rigorously peer-reviewed for their originality,
technical depth and correctness, potential impact, relevance to the
conference, and quality of presentation. Research papers must clearly
demonstrate novel research contributions while papers reporting
experiences must clearly describe the lessons learned and the
resulting impact, along with the utility of the approach in comparison
to previous work.
----------------------------
Topic Areas
----------------------------
Authors must indicate the primary topic area of their submissions from
the four topic areas provided below. In addition, they may optionally
rank their paper relative to the overall set of topics. The papers may
be submitted as either a full 10-page paper or as a shorter 4-page
paper submission. Please note that references are not counted in the
limits on the number of pages and a 10-page submission may be accepted
with a caveat of transforming it into a 4-page version for
presentation at the conference.
Area 1: Application, Algorithms, and Libraries
-------------------------------------------------------------
- HPC and Big Data application studies on large-scale clusters
- Applications at the boundary of HPC and Big Data
- New applications for converged HPC/Big Data clusters
- Application-level performance and energy modeling and measurement
- Novel algorithms on clusters
- Hybrid programming techniques in applications and libraries (e.g., MPI+X)
- Cluster benchmarks
- Application-level libraries on clusters
- Effective use of clusters in novel applications
- Performance evaluation tools
Area 2: Architecture, Network/Communications, and Management
----------------------------------------------------------------------------------------
- Node and system architecture for HPC and Big Data clusters
- Architecture for converged HPC/Big Data clusters
- Energy-efficient cluster architectures
- Packaging, power and cooling
- Accelerators, reconfigurable and domain-specific hardware
- Heterogeneous clusters
- Interconnect/memory architectures
- Single system/distributed image clusters
- Administration, monitoring and maintenance tools
Area 3: Programming and System Software
----------------------------------------
- Cluster system software/operating systems
- Programming models for converged HPC/Big Data/Machine Learning systems
- System software supporting the convergence of HPC, Big Data, and
Machine Learning processing
- Cloud-enabling cluster technologies and virtualization
- Energy-efficient middleware
- Cluster system-level protocols and APIs
- Cluster security
- Resource and job management
- Programming and software development environments on clusters
- Fault tolerance and high-availability
Area 4: Data, Storage, and Visualization
-------------------------------------------------------
- Cluster architectures for Big Data storage and processing
- Middleware for Big Data management
- Cluster-based cloud architectures for Big Data
- Storage systems supporting the convergence of HPC and Big Data processing
- File systems and I/O libraries
- Support and integration of non-volatile memory
- Visualization clusters and tiled displays
- Big data visualization tools
- Programming models for Big Data processing
- Big Data application studies on cluster architectures
----------------------------
Paper Submission
----------------------------
- Submissions must be in PDF format and must conform to the following
Xplore layout, page limit, and font size.
- Submissions are required to be no more than 10 pages (excluding references).
- Submissions must be single-spaced, 2-column numbered pages in IEEE
Xplore format (8.5x11-inch paper, margins in inches – top: 0.75,
bottom: 1.0, sides:0.625, and between columns:0.25, main text: 10pt).
- Papers will NOT be reviewed double-blind. Author names and
affiliations should be included in the submitted paper, and
appropriate citations of prior work must be included.
- LaTeX and Word Templates:
https://www.ieee.org/conferences/publishing/templates.html
- Only web-based submissions are allowed.
- Please submit your paper via the online submission system
https://ssl.linklings.net/conferences/ieeecluster/
----------------------------
Important Dates
----------------------------
- Submission site open: March 1, 2021
- Abstract deadline: May 10, 2021
- Full Papers due: May 17, 2021 extended to May 24, 2021
- Paper Acceptance Notification: July 5, 2021
- Camera-ready deadline: July 30, 2021
- Conference: September 7-10, 2021
All deadlines are Anywhere on Earth (AoE)
----------------------------
Chairs
----------------------------
Ewa Deelman, The University of Southern California (USC), USA
Lin Gan, Tsinghua University, China
Complete committee list: https://clustercomp.org/2021/committees
--
==================================
Catherine Olschanowsky, Ph.D.
Assistant Professor
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