HiPC 2022 Call For Workshop Proposals


The 29th annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2022) will during December 18-21, 2022. 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.


Held on the first day of the conference, HiPC workshops will typically be half-day events (3-3.5 hours) although proposals for full-day (6-7 hours) workshops will also be considered. Workshops should have contributed papers in their program, and can have invited talks, poster sessions, and panel discussions as part of their technical program. Workshop organizers are responsible for preparing the call for papers to their workshops and also peer-review all submissions in accordance with the conference and IEEE guidelines. Papers accepted for presentation at the HiPC 2022 workshops will be included in the workshops volume of the conference proceedings with a separate ISBN (HiPCW 2022) and will be distributed online; unless the workshop organizers want it otherwise. Post-conference, papers presented at the conference and eligible for inclusion will be made available to the IEEE Xplore Digital Library.


Deadlines and Important Dates

Workshop proposal submission June 15, 2022
Workshop proposal notifications July 15, 2022
Workshop website and call for papers August 1, 2022


Workshop organizers should further note the following deadlines for their workshop organization to coordinate the proceedings of the main conference:


Submission site open September 8, 2022
Full paper submissions October 15, 2022
Author notifications November 1, 2022 
Individual workshop advance program November 5, 2022
Camera-ready version November 15, 2022
Conference dates December 18-21, 2022


Workshop Themes

The topics of the proposed workshop should complement those listed in the main conference call for papers. Each workshop should be centered around a coherent theme or topic related to HPC and/or scalable data science; We particularly encourage workshop themes that relate to emerging areas and/or emerging application contexts of societal value (e.g., agriculture, energy, sustainability, workforce development).


Workshop proposals will need to clearly state the purpose and the applications of the techniques in the abstract. Workshop proposers will also need to clearly identify how they are going to attract papers and speakers.

What/Where to Submit

Potential HiPC workshop organizers should submit a workshop proposal that contains the items listed below. The proposal should also specify steps to be taken to develop a high-quality program committee and attract high-quality submissions to place the workshop(s) in a competitive international landscape. In case, submitting a full day workshop, the organizers should explain how they will attract sufficient participation to develop a full day program of peer-reviewed papers.


Proposals to organize a workshop at HiPC 2022 should include:

  • – Description: title; topics to be addressed; goals; relevance and significance to the main conference.
  • – Names, affiliations and contact information for organizers, along with prior experience in organizing such events, if any.
  • – Plans for soliciting submissions, and the process for selecting papers to be presented at the workshop and included in the workshop proceedings.
  • – (Optionally) Tentative names of Keynote/ invited speakers
  • – (Optionally) Tentative program outline, identifying key elements such as panels, discussion sessions, poster sessions, invited talks, etc.
  • – (Optionally) Tentative list of PC members to be recruited
  • – A detailed timeline of the peer-review process
  • – The proposal should not exceed three pages and should be submitted as a pdf file to the HiPC Workshops Chairs at [email protected]


For additional information about organizing an HiPC workshop, see the FAQs sheet on the website.


Workshop Co-Chairs

V. Krishna Nandivada, Indian Institute of Technology, Madras, India

Ananth Kalyanaraman, Washington State University, USA