[hpc-announce] Call For Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2020

sanmukh at hipc.org sanmukh at hipc.org
Tue Mar 10 22:57:22 CDT 2020

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27th IEEE International Conference on High Performance Computing,
Data, and Analytics
16--19 December, 2020 in Pune India

HPC: Bora Uçar, CNRS and ENS Lyon, France
Data Science: Gagan Agrawal, Augusta University, USA

Algorithms:  Kamesh Madduri, Pennsylvania State University, USA
Applications: Yogesh Simmhan, Indian Institute of Science, India
Architecture: Biswabandan Panda, IIT Kanpur, India
System Software: Marco Aldinucci,  University of Torino, Italy

Scalable Algorithms and Analytics: Bingsheng He, National University
of Singapore
Scalable Systems and Software: Suren Byna, Lawrence Berkeley National
Laboratory, USA

HiPC 2020 Call For Papers

HiPC 2020 will be the 27th edition of the IEEE International
Conference on High Performance Computing, Data, Analytics and Data
Science. HiPC serves as a forum to present current work by researchers
from around the world as well as highlight activities in Asia in the
areas of high performance computing and data science. The meeting
focuses on all aspects of high performance computing systems, and data
science and analytics, and their scientific, engineering, and
commercial applications.

Authors are invited to submit original unpublished research
manuscripts that demonstrate current research in all areas of high
performance computing, and data science and analytics, covering all
traditional areas and emerging topics including from machine learning,
big data analytics and blockchain.  Each submission should be
submitted to one of the tracks listed under the two broad themes of
High Performance Computing and Data Science.

Up to two best paper awards will be given for outstanding contributed papers.

Algorithms. This track invites papers that describe original research
on developing new parallel and distributed computing algorithms, and
related advances. Examples of topics that are of interest include (but
not limited to):
* New parallel and distributed algorithms and design techniques;
* Advances in enhancing algorithmic properties or providing guarantees
(e.g., fault tolerance, resilience, concurrency, data locality,
* Algorithmic techniques for resource allocation and optimization
(e.g., scheduling, load balancing, resource management);
* Provably efficient parallel and distributed algorithms for advanced
scientific computing and irregular applications (e.g., numerical
linear algebra, graph algorithms, computational biology);
* Classical and emerging computation models (e.g.,
parallel/distributed models, quantum computing, neuromorphic and other
bioinspired models).

Architecture. This track invites papers that describe original
research on the design and evaluation of high performance computing
architectures, and related advances. Examples of topics of interest
include (but not limited to):
* High performance processing architectures (e.g., reconfigurable,
system-on-chip, manycores, vector processors);
* Networks for high performance computing platforms (e.g.,
interconnect topologies, network-on-chip);
* Memory, cache and storage architectures (e.g., 3D, photonic,
Processing-In-Memory, NVRAM, burst buffers, parallel I/O);
* Approaches to improve architectural properties (e.g., energy/power
efficiency, reconfigurable, resilience/fault tolerance,
* Emerging computational architectures (e.g., quantum computing,
neuromorphic and other bioinspired architectures).

Applications. This track invites papers that describe original
research on the design and implementation of scalable and high
performance applications for execution on parallel, distributed and
accelerated platforms, and related advances. Examples of topics of
interest include (but not limited to):
* Shared and distributed memory parallel applications (e.g.,
scientific computing, simulation and visualization applications, graph
and irregular applications, data-intensive applications,
science/engineering/industry applications, emerging applications in
IoT and life sciences, etc.);
* Methods, algorithms and optimizations for scaling applications on
peta- and exa-scale platforms (e.g., co-design of hardware and
software, heterogeneous and hybrid programming);
* Hardware acceleration of parallel applications (e.g., GPUs, FPGA,
vector processors, manycore);
* Application benchmarks and workloads for parallel and distributed platforms.

Systems Software. This track invites papers that describe original
research on the design, implementation and evaluation of systems
software for high performance computing platforms, and related
advances. Examples of topics of interest include (but not limited to):
* Scalable systems and software architectures for high performance
computing (e.g., middleware, operating systems, I/O services);
* Techniques to enhance parallel performance (e.g., compiler/runtime
optimization, learning from application traces, profiling);
* Techniques to enhance parallel application development and
productivity (e.g., Domain-Specific Languages, programming
environments, performance/correctness checking and debugging);
* Techniques to deal with uncertainties, hardware/software resilience,
and fault tolerance;
* Software for cloud, data center, and exascale platforms (e.g.,
middleware tools, schedulers, resource allocation, data migration,
load balancing);
* Software and programming paradigms for heterogeneous platforms
(e.g., libraries for CPU/GPU, multi-GPU clusters, and other
accelerator platforms).
Scalable Algorithms and Analytics. This track invites papers that
describe original research on developing scalable algorithms for data
analysis at scale, and related advances. Examples of topics of
interest include (but not limited to):
* New scalable algorithms for fundamental data analysis tasks
(supervised, unsupervised learning, and pattern discovery);
* Scalable algorithms that are designed to address the characteristics
of different data sources and settings (e.g., graphs, social networks,
sequences, data streams);
* Scalable algorithms and techniques to reduce complexity of
large-scale data (e.g., streaming, sublinear data structures,
summarization, compressive analytics);
* Scalable algorithms that are designed to address requirements in
different data-driven application domains (e.g., life sciences,
business, agriculture);
* Scalable algorithms that ensure the transparency and fairness of the analysis;
* Case studies, experimental studies and benchmarks for scalable
algorithms and analytics;
* Scaling and accelerating machine learning, deep learning and
computer vision applications.

Scalable Systems and Software. This track invites papers that describe
original research on developing scalable systems and software for
handling data at scale, and related advances. Examples of topics of
interest include (but not limited to):
* Design of scalable system software to support various applications
(e.g., recommendation systems, web search, crowdsourcing applications,
streaming applications)
* Scalable system software for various architectures (e.g., OpenPower,
* Architectures and systems software to support various operations in
large data frameworks (e.g., storage, retrieval, automated workflows,
data organization, visualization, visual analytics,
* Systems software for distributed data frameworks (e.g., distributed
file system, virtualization, cloud services, resource optimization,
*  Standards and protocols for enhancing various aspects of data
analytics (e.g., open data standards, privacy preserving and secure

Abstract Submissions :                 June 8, 2020
Paper Submissions     :         June 15, 2020
Reviews for Rebuttals:         August 4, 2020
Initial Submission Decisions: August 21, 2020
Revisions Due:                          September 22, 2020
Author Notifications:                October 2, 2020
Camera Ready:                    October 16, 2020
Manuscript Guidelines
Submitted manuscripts should be structured as technical papers and may
not exceed ten (10) single-spaced double-column pages using 10-point
size font on 8.5x11 inch pages (IEEE conference style), including
figures, tables, and references. See style templates for details:

•LaTex Package (ZIP) – will be linked
•Word Package (ZIP) – will be linked

Electronic submissions must be in the form of a readable PDF file. All
manuscripts will be reviewed by the Program Committee and evaluated on
originality, relevance of the problem to the conference theme,
technical strength, rigor in analysis, quality of results, and
organization and clarity of presentation of the paper. Authors are
highly encouraged to list the key contributions of their paper, for
example in a separate paragraph in the introduction of the paper. The
review process is “single-blind” (i.e., authors can list their names
on the paper), and that there will be a rebuttal period.

Submitted papers must represent original unpublished research that is
not currently under review for any other conference or journal. Papers
not following these guidelines will be rejected without review and
further action may be taken, including (but not limited to)
notifications sent to the heads of the institutions of the authors and
sponsors of the conference. Submissions received after the due date,
exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair at the email
address below for further information or clarification. A published
proceedings will be available at the conference.

At least one author of each paper must be registered for the
conference in order for the paper to be published in the proceedings.
Presentation of an accepted paper at the conference in person is a
requirement of publication. Any paper that is not presented at the
conference will not be included in IEEE Xplore.

Authors of selected high quality papers in HiPC 2020 will be invited
to submit extended versions of their papers for possible publication
in a special issue of Journal of Parallel and Distributed Computing.

Submit your paper: https://easychair.org/conferences/?conf=hipc2020.

HiPC 2020 is co-sponsored by
* IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
* HiPC Education Trust, India

In cooperation with:
* ACM Special Interest Group on Algorithms and Computation Theory (SIGACT);
* ACM Special Interest Group on Computer Architecture (SIGARCH);
* IFIP Working Group on Concurrent Systems;
* Manufacturers' Association for Information Technology (MAIT);
* National Association of Software and Service Companies (NASSCOM).

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