- Short article about the workshop appeared in SIAM News.
- Proceedings appeared on SIAM's platform.
- Meeting Successfully Completed: After three fully-packed days of celebration of research and community, CSC16 was concluded on October 12 around 4pm. Thanks to all participants for making the meeting a great success!
- Pictures Posted: Pictures taken during various events at the workshop have been posted. Check out the Pictures menu item at the left.
- Slides Posted: Thanks to all who have sent slides of your presentations. The slides have been posted under the "Program" page. If you have not sent us your slides, please upload them here. You will need to use the password that was communicated to you earlier (send an email to email@example.com if you need to be reminded of the password). We will make all slides we receive available at this website.
- Acknowledgements: We would like to thank Sandia National Laboratories and SIAM for their financial support.
With the continuing advances in high-performance computing, the role of computational science and engineering (CSE) has extensively grown in importance over the last decades. At the same time scientific simulations continue to face a number of challenges and generate massive amounts of data. Many of the underlying problems here are combinatorial in nature and unified by a common set of abstractions, data structures, and algorithms, often based on graphs and hypergraphs. On a related front, data science and analytics have emerged as powerful methods of inquiry across a broad range of domains and pose various fundamental challenges associated with size and complexity of data that would greatly benefit from combinatorial methods. CSC16 provides a forum for researchers interested in the interaction of combinatorial mathematics and algorithms with CSE and/or data science.
CSC16 follows six successful CSC workshops held roughly biennially since 2004. A new feature of CSC16 is that there will be a peer-reviewed proceedings associated with the workshop. The proceedings will be published by SIAM and hosted at its publications platform. The papers will be made permanently available with DOI links. SIAM proceedings are indexed by major scientific bibliography databases.
Authors are invited to submit manuscripts that present original unpublished research in all areas of combinatorial scientific computing. Topics of interest include, but are not limited to:
- Combinatorial (discrete) models in scientific computing
- Graph and hypergraph algorithms in scientific computing
- Sparse matrix computations
- Combinatorial problems in data science and network science
- Combinatorial problems in Algorithmic Differentiation
- Combinatorial problems in optimization
- Applications of combinatorial scientific computing