Nov. 30, 2022 — Friday, Jan. 20, 2023 is the deadline to submit an extended abstract for presentation at the 16th Annual 2023 Energy High Performance Computing Conference hosted by the Ken Kennedy Institute at Rice University, February 28 – March 2, 2023.
Acceptance notices will be issues on February 1.
The conference invites prospective speakers to submit abstracts that highlight technology, use-cases, and solutions that support data-driven discovery and decision making.
Accepted abstracts will be asked to deliver a 20-minute presentation, including Q&A, as part of the conference program. Presentations will be recorded and published online on the Ken Kennedy Institute’s YouTube channel. Presenters will need to sign a Media Release Form.
Please use the following guidelines when preparing your extended abstract submission:
One page (not including graphics, bio, and references as needed).
- Extended abstracts should contain: title; list of all author(s) with identifying and contact information; short abstract (not to exceed 350 words); up to 5 keywords; followed by short sections covering: (1) Motivation, (2) Hypothesis, (3) Methods and Results, and (4) Conclusion. Please review the abstract template.
- Extended abstracts must be uploaded as a PDF in EasyChair.
- The short abstract and the keywords from your extended abstract must also be pasted into the appropriate text box in the web submission form in EasyChair.
Complimentary registration: Upon abstract acceptance, the presenting speaker for the technical talks (1 per talk) will receive a complimentary registration code.
The Energy HPC Conference is a meeting place for the energy industry to engage in conversations about challenges and opportunities in high performance computing, computational science and engineering, machine learning, and data science. Attended by leaders and experts from the energy industry, academia, national labs, and IT industry, this is a unique opportunity for key stakeholders to engage and network to help advance HPC in the energy industry.
Computation, data, and information technology continue to stand out across the energy industry as critical business enablers. Recent advances in machine learning, deep learning, robotics, and AI are emerging, and there is convergence between these emerging areas and HPC. With the end of Moore’s law, challenges are mounting around a rapidly changing technology landscape. However, the end of one era is also an opportunity for advancements and the beginning of a new era – a renaissance for system architectures highlights the need for investments in people (workforce), algorithms, software innovations, and hardware platforms to support system scalability and demands for increasing digitization across the energy sector.
The agenda for the conference includes invited speakers, technical talks, an exhibit hall, networking receptions, and poster presentations.
Note 1: This conference will consider and can accept abstracts for work that have previously been presented.
Note 2: Presentation proposals that appear to the program committee as “marketing” will be rejected. Abstracts with a strong and compelling customer use-case with the focus on the innovation knowledge discovery enabled by the solution more than the product can be considered. In cases where you think a marketing message may be a concern, we strongly encourage you to partner with a customer and highlight users and relevant use-cases. Vendors interested in engaging are also encouraged to explore sponsorship.
