[hpc-announce] Call for Posters: IEEE Cluster2020 at Kobe (September 14-17, Deadline: July 10)

[Satoshi Ohshima]

============================================================================
                              CALL FOR POSTERS
22nd IEEE International Conference on Cluster Computing (IEEE Cluster 2020)
                     Kobe, Japan, September 14-17, 2020.
                        https://clustercomp.org/2020/
============================================================================

Overview:

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 world's 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
2020, we again solicit high-quality original work that advances the
state-of-the-art in clusters and closely related fields. All posters will be
rigorously peer-reviewed for their originality, technical depth and correctness,
potential impact, relevance to the conference, and quality of presentation.


Topics of interest include:

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

Important dates
* Posters due: July 10, 2020 (AoE)
* Poster Acceptance Notification: July 29, 2020
* Camera-ready deadline: August 14, 2020 (AoE)


Poster Submission:

The extended abstract should be structured similar to a technical paper, and may not
exceed 2 letter-sized (8.5 x 11) pages including figures, tables and references using the
IEEE format for conference proceedings (PDF, single-spaced, double column, 10pt text).
Extended abstracts and posters will NOT be reviewed double-blind. Author names and
affiliations should be included in the submission, and appropriate citations of prior work
must be included. If accepted, this extended abstract will be published in the proceedings
of the conference.


General Co-Chairs:
  * Taisuke Boku - University of Tsukuba
  * Pete Beckmann - Argonne National Laboratory

Poster Chair:
  * Kento Sato - RIKEN R-CCS

Poster Committee:
  * Eishi Arima, The University of Tokyo
  * Leonardo Bautista-Gomez, Barcelona Supercomputing Center
  * David Boehme, Lawrence Livermore National Laboratory
  * Kevin Brown, Argonne National Laboratory
  * IHsin Chung, IBM
  * Sheng Di, Argonne National Laboratory
  * Jian Guo, RIKEN R-CCS
  * Ignacio Laguna, Lawrence Livermore National Laboratory
  * Miquel Pericàs, Chalmers University of Technology
  * Philip C. Roth, Oak Ridge National Laboratory
  * En Shao, Institute of Computing Technology of the Chinese Academy of Sciences

-- 
Satoshi OHSHIMA
e-mail: ohshima at cc.nagoya-u.ac.jp
Associate Professor
High Performance Computing Division
Information Technology Center
Nagoya University