[hpc-announce] 13th HiPC Student Research Symposium (SRS)

[Sanmukh Kuppannagari]

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13th HiPC Student Research Symposium (SRS)
https://hipc.org/srs/

in conjunction with the
28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and
ANALYTICS (HIPC 2021)
December 17-18, 2021 | Virtual Event, INDIA | www.hipc.org

OVERVIEW
HiPC 2021 will feature the 13th Student Research Symposium on High
Performance Computing, Data, and Analytics (HPC) aimed at stimulating
and fostering student research, and providing an international forum
to highlight student research accomplishments. The symposium will also
provide exposure to students in the best practices in HPC in academia
and industry.

The symposium will feature student posters and provide students with
other enriching experiences, such as workshops, industry exhibits, and
demos. The Conference Reception and multiple Student Symposium Poster
Exhibit sessions will provide an opportunity for students to interact
with HPC researchers and practitioners (and recruiters) from academia
and industry.

Awards for Best Poster, sponsored by IEEE Computer Society – Technical
Committee on Parallel Processing (TCPP) – will be presented at the
symposium. An online book containing the resumes of the students
participating in the symposium will be compiled and made available to
the sponsors of the HiPC 2021 conference.

TOPICS
Papers are solicited in all areas of high-performance computing, data,
and analytics, including but not limited to topics mentioned below.

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);
* Classical and emerging computation models (e.g.,
parallel/distributed models, quantum computing, neuromorphic and other
bioinspired models);
* Provably efficient parallel and distributed algorithms for advanced
scientific computing and irregular applications (e.g., numerical
linear algebra, graph algorithms, computational biology); and
* Algorithmic techniques for resource allocation and optimization
(e.g., scheduling, load balancing, resource management).

Architectures: 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):
* Design and evaluation of high-performance processing architectures
(e.g., reconfigurable, system-on-chip, many cores, vector processors);
* Design and evaluation of networks for high-performance computing
platforms (e.g., interconnect topologies, network-on-chip);
* Design and evaluation of 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); and
* 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 applications for
execution on parallel and distributed platforms, and related advances.
Examples of topics of interest include (but not limited to):
* Design and implementation of shared and distributed memory parallel
applications (e.g., scientific computing and industry applications,
emerging applications in IoT and life sciences – biology, medicine,
chemistry, etc.);
* Design and simulation methodologies for scaling applications on peta
and exascale platforms (e.g., co-design approaches, hardware/software
co-design, heterogeneous and hybrid programming);
* Hardware acceleration of parallel applications (e.g., CPU/GPUs,
multi-GPU clusters, FPGA, vector processors, manycore); and
* Design of application benchmarks 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 the cloud, data center, and exascale
platforms (e.g., middleware tools, schedulers, resource allocation,
data migration, load balancing); and
* Software and programming paradigms for heterogeneous platforms
(e.g., libraries for CPU/GPU, multi-GPU clusters, and other
accelerator platforms).

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); and
* Scalable algorithms that ensure the transparency and fairness of the analysis.

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);
* Design of 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);
* Design and implementation of systems software for distributed data
frameworks (e.g., distributed file system, virtualization, cloud
services, resource optimization, scheduling); and
* Standards and protocols for enhancing various aspects of data
analytics (e.g., open data standards, privacy-preserving, and secure
schemes).

IMPORTANT DATES
Submission Opens: August 19, 2021
Submission Deadline: October 01, 2021
Accept/Reject Decision Notification: November 01, 2021
Symposium: December 17-18, 2021

ELIGIBILITY
Submissions should have at least one author who is a student during
any part of the calendar year 2021. Submissions may have multiple
student or non-student co-authors. Submissions must mark student
authors with an asterisk (*).

SUBMISSION INSTRUCTIONS
In order to be considered for a poster at the Student Research
Symposium, authors must submit papers/extended abstracts, not
exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point
font, single-spaced, with 1” margins on all sides. Papers are to be
submitted online in PDF format through Easychair at:
https://easychair.org/conferences/?conf=hipc2021

The papers will be used to select posters, but will NOT be published
in the conference proceedings. This will provide students the
flexibility to publish an extended version of their paper at other
venues, after benefiting from reviewer feedback from the symposium.
Papers submitted to the symposium are expected to be reviewed by at
least three independent reviewers. Papers will be judged on technical
merit, quality, relevance to the symposium, and related parameters.
Plagiarism, in any form, especially verbatim reproduction from other
published works, is prohibited. Papers that are plagiarized will be
rejected, and the corresponding department and institution will be
notified.

Facilities for displaying posters will be made available, and the
exact specifications of the poster size will be provided later. At
least one student author of each paper that is accepted must register
and attend the conference to present their work. Papers with no-shows
will be retroactively rejected.

SYMPOSIUM CHAIRS
Ashok Srinivasan, University of West Florida, USA
Dip Sankar Banerjee, Indian Institute of Technology Jodhpur, India

TECHNICAL PROGRAM COMMITTEE
Ashok Srinivasan (Co-chair), University of West Florida

Dip Banerjee (Co-chair), Indian Institute of Technology  Jodhpur

Mainak Adhikari, Indian Institute of Information Technology Lucknow
Vikram Aggarwal, Google
Ashish Anand, Indian Institute of Technology Guwahati
Jayvant Anantpur, Mentor Graphics India Pvt Ltd
Manu Awasthi, Ashoka University
Suren Byna, Lawrence Berkeley National Laboratory
Venkatachalam Chandrasekaran, Sri Sathya Sai Institute of Higher Learning
Mainak Chaudhuri, Indian Institute of Technology Kanpur
Meysam Ghaffari, Memorial Sloan Kettering Cancer Center
Subramaniam KV, PES University
Dumitrel Loghin, National University of Singapore
Arash Mahyari, Florida Institute for Human and Machine Cognition
Amit Majumdar, University of California San Diego, San Diego
Supercomputer Center
Sreepathi Pai, University of Rochester
Madhura Purnaprajna, PES University
Ponnuswamy Sadayappan, University of Utah
Fahad Saeed, Florida International University
Subodh Sharma, Indian Institute of Technology Delhi
Jaya Sreevalsan-Nair, International Institute of Information
Technology Bangalore
Parimala Thulasiraman, University of Manitoba
Hemanth Venkateswara, Arizona State University

CONTACT
Write to us at student_symposium [AT] hipc [DOT] org for more details.