November 30, 2022 – Friday, January 20, 2023 is the deadline to submit an extended abstract for presentation at the 16th Annual Energy Computing Conference 2023 hosted by the Ken Kennedy Institute at Rice University, February 28-March 2 2023 .
Notices of acceptance will be issued on February 1st.
The conference invites potential speakers to submit abstracts that highlight technology, use cases, and solutions that support data-driven discovery and decision-making.
Accepted abstracts will be invited to make a 20-minute presentation, including questions and answers, as part of the conference program. The presentations will be recorded and published online on the Ken Kennedy Institute YouTube Channel. Presenters will be required to sign a Press release form.
Please use the following guidelines when preparing your extended abstract submission:
One page (without graphics, biography and references if needed).
- Full abstracts should contain: the title; list of all authors with identification and contact information; short summary (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 pattern.
- Detailed abstracts must be uploaded in PDF format in EasyChair.
- The short abstract and keywords for your extended abstract should also be pasted into the appropriate text box of the web submission form in EasyChair.
Free registration: After acceptance of the abstract, the presenter of the technical presentations (1 per presentation) will receive a free registration code.
The Energy HPC Conference is a meeting place for the energy industry to engage in conversations about the challenges and opportunities of high performance computing, computer science and engineering, machine learning and of data science. Attended by leaders and experts from the energy industry, universities, national laboratories and the IT industry, this is a unique opportunity for key stakeholders to engage and network to advance HPC in the energy industry.
Compute, data and information technology continue to stand out in the energy industry as critical business enablers. Recent advancements in machine learning, deep learning, robotics, and AI are emerging, and there is convergence between these emerging fields and HPC. With the end of Moore’s Law, the challenges are multiplying around a rapidly changing technological landscape. However, the end of an era is also an opportunity for advances and the beginning of a new era – a revival of system architectures highlights the need to invest in people (manpower), algorithms , software innovations and hardware platforms to support system scalability and increasing digitization demands in the energy sector.
The conference agenda includes guest speakers, technical presentations, an exhibit hall, networking receptions and poster presentations.
Note 1: This conference will consider and may accept abstracts of work that has already 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 that emphasizes uncovering the innovation insights enabled by the solution more than the product may be considered. In cases where you believe a marketing message may be an issue, we strongly encourage you to partner with a customer and highlight relevant users and use cases. Suppliers interested in engaging are also encouraged to explore sponsorship.
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