[hpc-announce] Call for participation: International Conference on High Performance Computing, Data & Analytics (IEEE HiPC 2022)

Anand Panangadan anandvp at hipc.org
Wed Nov 16 17:31:57 CST 2022


HiPC 2022
International Conference on High Performance Computing, Data & Analytics

Dec. 18-21, 2022
Bengaluru, India
Website: http://www.hipc.org

CALL FOR PARTICIPATION

HiPC 2022 is the 29th edition of the IEEE International Conference on
High Performance Computing, Data, and Analytics. 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. HiPC 2022
is planned to be an in-person event and will include programs such as
workshops, tutorials, Birds-of-a-Feather meetings, Student Research
Symposium, and industrial sessions, which provide increased
professional opportunities to conference attendees.

Keynote Speakers:
- Jack Dongarra, University of Tennessee
  "An Overview of High Performance Computing and Future Requirements"

- Paolo Ienne, Swiss Federal Institute of Technology Lausanne (EPFL)
  "Reconfigurable Computing for Software Programmers?"

- Ponnuswamy Sadayappan, University of Utah
  "Challenges and Opportunities for Compilers in the End-of-Moore Era"

- Per Stenströ m, Chalmers University of Technology
  "Towards Data-Centric Computer Architectures"

The technical program includes brief talks and poster presentations of
34 accepted research papers and other allied events such as the
Workshops, Tutorials, Student Research Symposium (SRS), Birds of a
Feather Session.

Technical Sessions:
The conference technical program will include plenary sessions
consisting of keynote talks and single-track presentations of peer
reviewed papers from all over the world.

Workshops:
Complementing the main technical program, HiPC workshops serve to
broaden the technical scope of the conference in emerging areas of
high performance computing, networking, data analytics, and their
applications.
- Workshop on Education for High Performance Computing (EduHiPC)
- Workshop on Data Fabric for Hybrid Clouds (WDFHC)

Indo-US Collaborative Research in AI/DS/HPC:
The session will reflect upon the recent developments and future
directions of the collaboration between the U.S. National Science
Foundation and the Indian Department of Science and Technology in
funding collaborative research between U.S. and India. The session
will include a plenary panel on the future of Indo-US scientific
collaboration by Indian and US officials and noted researchers and
talks by several current awardees with opportunities for
collaborations

Student Research Symposium:
The meeting will host the 14th Student Research Symposium (SRS) aimed
at fostering student research and providing a forum for students to
present their work in all areas related to HPC and Data Science

Birds of a Feather Session:
US-India Collaborative in Digital Agriculture: This BOF will feature
invited talks and a panel to showcase and discuss research and
training initiatives and opportunities at the interface of AI, data
science, and digital agriculture.

Tutorials:
Tutorials offer attendees the chance to learn from and to interact
with leading experts in popular areas of high performance computing,
data, and analytics. HiPC 2022 will organize the following user
centric hands-on tutorial sessions:
- High Performance Computing Platforms for Crypto-currency Mining: DIAT, DRDO
- Accelerating HPC and AI/ML Computations using Scalable Cloud
Infrastructure: Oracle
- Let us SYCL: Intel

Registration Link:
https://hipc.org/register2022/

General Co-chairs:
- Chiranjib Sur, Shell, India
- Neelima Bayyapu, Manipal Institute of Technology, India

Program Chair, HPC:
- Sathish Vadhiyar, Indian Institute of Science, India

Program Chair, Data Science:
- Jun Wang, University of Central Florida, USA

Steering Chair:
- Viktor K. Prasanna, University of Southern California, USA


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