[hpc-announce] Deadlines Extended - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021

[Sanmukh Kuppannagari]

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Paper submission deadlines for the IEEE International Conference on
High Performance Computing, Data, Analytics, and Data Science, HiPC
2021 have been extended. Please note that the updated deadlines are
hard deadlines and no further extension will be granted.

Abstract Submission Deadline: 8 July, 2021
Paper Submission Deadline: 16 July, 2021 (hard deadline)

The updated Call for Papers follows below. The same can be downloaded
from: https://hipc.org/call-for-papers/

Regards,
Sanmukh Kuppannagari
Senior Research Associate
University of Southern California
https://sanmukh.github.io/

HiPC 2021 CALL FOR PAPERS
28th IEEE International Conference on High Performance Computing,
Data, and Analytics
17–20 December 2021 in Bangalore, India

PROGRAM CHAIRS
HPC: Ana Lucia Varbanescu, University of Amsterdam, The Netherlands
(a.l.varbanescu at uva.nl)
Data Science: Yogesh Simmhan, Indian Institute of Science, India
(simmhan at iisc.ac.in)

PROGRAM VICE-CHAIRS
HPC TRACKS
Algorithms:  Sanjukta Bhowmick, University of North Texas, USA
Applications: Abhinav Bhatele, University of Maryland, USA
Architecture: Michela Becchi, North Carolina State University, USA
System Software: Sathish Vadhiyar, Indian Institute of Science, India

DATA SCIENCE TRACKS
Scalable Algorithms and Analytics: Zeyi Wen, University of Western
Australia, Australia
Scalable Systems and Software: Min Si, Argonne National Laboratory, USA


HiPC 2021 will be the 28th 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Authors are invited to submit original unpublished research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 six 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.

HIGH PERFORMANCE COMPUTING
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,
communication-avoiding);
* 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, many cores, 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,
security/privacy);
* 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 DATA SCIENCE
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 the 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):
* New parallel and distributed algorithms and design techniques;

* 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,
GPUs, FPGAs).

* Architectures and systems software to support various operations in
large data frameworks (e.g., storage, retrieval, automated workflows,
data organization, visualization, visual analytics,
human-in-the-loop);

* Systems software for distributed data frameworks (e.g., distributed
file system, virtualization, cloud services, resource optimization,
scheduling);

* Standards and protocols for enhancing various aspects of data
analytics (e.g., open data standards, privacy-preserving, and secure
schemes).


IMPORTANT DATES
Abstract Submission Deadline: 8 July, 2021
Paper Submission Deadline: 16 July, 2021 (hard deadline)
Notification of Initial Decisions: 27 September, 2021
Deadline for Revised Submission: 18 October, 2021
Notification of Final Decisions: 25 October, 2021
Camera Ready Due (for all accepted papers): 7 November, 2021

MANUSCRIPT AND SUBMISSION GUIDELINES
Abstracts of no more than 300 words must be submitted by the abstract
submission deadline. The title and abstract submitted by this deadline
should have sufficient detail and not just be a placeholder.
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 8.5×11 inch pages (IEEE conference style), including
figures, tables, and references. The submitted paper should list the
authors and their affiliations.
The IEEE conference style templates for MS Word and LaTeX provided by
IEEE eXpress Conference Publishing are available for download. See the
latest versions here. Electronic submissions must be in the form of a
readable PDF file.
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. Papers must be submitted under one of the 6 technical
tracks listed above. The topics listed under each track are
representative, but not exhaustive. A published proceeding will be
available at the conference. Authors may contact the Program Chair at
the email address above for further information or clarification.
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 in person is a requirement of
publication for a physical conference. Depending on how the COVID-19
pandemic situation evolves, the presentation may be in person or in a
virtual format. Details of these will be specified at the time of
paper acceptance.[a] Any paper not meeting requirements will not be
included in the conference proceedings under IEEE Xplore.
Authors of selected high-quality papers in HiPC 2021 will be invited
to submit extended versions of their papers for possible publication
in a special issue of the Journal of Parallel and Distributed
Computing.

Submit your paper: https://easychair.org/conferences/?conf=hipc2021.

REVIEW PROCESS
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.

The initial decision for the submission may be Accept, Reject or
Revise. Papers that are recommended for revision will have to address
the comments from the reviewers, and submit a revised article along
with a summary of changes. This will go through a light review and the
final decision will be communicated.