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Call for Abstracts | Due Dec. 4

You are invited to prepare an extended abstract for presentation in the technical program at the 18th Annual Energy High Performance Computing Conference hosted by the Ken Kennedy Institute at Rice University, February 25-27, 2025. The deadline to submit an abstract is December 4, 2024 at 11:59pm CT.


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 challenges to Moore’s law and emergence of AI, we must deal with a rapidly changing technology landscape. However, the transition into a new era is also an opportunity for advancements – 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. ​We invite prospective speakers to submit technical program abstracts that highlight technology, use-cases, and solutions, support data-driven discovery and decision making, and demonstrate Business value. We encourage applications across the breadth of traditional seismic imaging and reservoir simulation for subsurface exploration to new applications required for the Energy future.  


1. Application & Systems Optimization

We aim to address a wide range of optimization strategies and techniques relating to HPC workloads in operational IT infrastructure, services, facilities, large-scale applications, and system benchmarking. Papers should offer experiences, results, and solutions that improve efficiency for HPC architects, developers, administrators, and/or users.

2. Applications & Use-Cases

We encourage papers that review emerging research fields and highlight business value through the development and enhancement of algorithms, parallel implementations, models, software and other applications that require high performance resources. Potential use-cases include subsurface imaging, reservoir simulation, solar, wind, computational chemistry, computational fluid dynamics, etc.


3. AI & Machine Learning

The combination of machine learning techniques and classical numerical solvers for the simulation of complex physical phenomena is an emerging field that has direct implications in HPC. Papers on innovative coupling strategies as well as on the performance and scalability of the physics-based data driven methods are particularly welcome.


4. Workforce Development & Productivity

We want to highlight successful efforts in leading HPC teams to develop and improve productivity of

individuals engaged in computational science, software development, and systems management.


Accepted abstracts will be asked to deliver a 20-25 minute presentation, including Q&A, as part of the conference program on February 25-26. Presentations will be recorded and published online on the Ken Kennedy Institute’s YouTube channel. Presenters will need to sign a Media Release FormPlease do not submit an abstract if you are not comfortable presenting in person. 

  • December 4: Abstract Submissions Due

  • December 18: Abstract Acceptance Notice


  • 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.

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. ​​

Complimentary Registration: Upon abstract acceptance, the presenting speaker for the technical talks (1 per talk) will receive a complimentary registration code.  

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