| November |
Deadline for submission of regular abstracts | |
| January 9, 2017 | – | Conference registration opens |
| January 30, 2017 | – | Notification of abstract acceptance |
| February 13, 2017 | – | Deadline for submission of student poster abstracts |
| February 15, 2017 | – | Notification of student poster abstract acceptance |
| March 15-16, 2017 | – | Conference (Bioscience Research Collaborative, Rice University) |
Submit your Abstract!
Abstracts due by November 23, 2016. Deadline Extended to November 30, 2016.
2017 marks the 10th anniversary for the Oil and Gas High Performance Computing (HPC) Conference, hosted annually at Rice University. The conference is the premier meeting place for the industry to engage in conversations about challenges and opportunities in high performance computing, information technology, computational science and engineering, and data science. Attended by 500+ leaders from the oil and gas industry, academia, national labs, and IT industry, this is a unique opportunity to engage key stakeholders.
The Program Committee is pleased to invite you to submit a technical abstract(s) to be considered for the conference program. The conference is structured with keynote and plenary presentations and thematically organized parallel sessions. The 2016 themes were: Algorithms & Accelerators I; Algorithms & Accelerators II; Facilities, Infrastructure & Visualization; Data Analytics Approaches and Tools; a Disruptive Technology track featuring lightning tech-talks on emerging technologies; and a student poster session.
Technical themes for the 2017 conference sessions will be determined based on the diversity and strengths of the abstracts accepted. In addition to regular conference abstracts we also encourage students to submit poster abstracts on their HPC graduate research.
High-performance computing, computational science and engineering, data science, and information technology continue to stand out across the oil and gas industry as critical business enablers. With Moore’s law as we know it coming to an end, challenges are mounting around a rapidly changing technology landscape. Challenges also represent opportunities and the need for investments in people (workforce), algorithms, software innovations, and hardware platforms to support system scalability and demands for increasing digitization in a tough oil & gas market. In light of these challenges and opportunities we invite abstracts in the following areas:
- Big data and machine learning in oil & gas
- Making exascale a reality in oil & gas
- Distributed data management
- Data visualization (local, distributed & remote)
- High performance i/o and file systems
- Programming models and examples for heterogeneous/hybrid system architectures
- Parallel software development and tools
- Algorithms and scalability
- HPC facilities and infrastructure scaling
- Clouds for scale-up and scale-out technical computing
- Curriculum, education and training – what skill set does the industry need moving forward?
- Open Source – can industry better leverage open source and DevOps?
The Program Committee is looking for abstracts that are directly relevant to needs of the oil and gas industry. We hope to attract a broad set of abstracts, and are open to submissions beyond the topics listed. Abstracts that come across as marketing will be rejected without further review. 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.
Submit your Abstract!
Please share this with anyone interested in submitting an abstract or attending the 10th Annual Oil & Gas HPC Conference in 2017.
