Georgia Tech’s School of Computational Science and Engineering (CSE) Assistant Professor Toby (Tobin) Isaac is one of 17 distinguished individuals being recognized this week at the SIAM Conference on Computational Science and Engineering (CSE19).

CSE19 has selected Isaac for a 2019 best paper prize for his work on identifying large-scale climate models of the Antarctic Ice Sheet, and will live stream the paper presentation from the conference Wednesday at 11:30 a.m. PT.

• Watch the live stream here.

According to Isaac, “The talk focuses on building scalable and efficient algorithms for a large-scale model containing uncertain parameters. The idea comes from the fact we have uncertain measurements being gathered from satellites showing the movement of the ice sheets but no real measurements of parameters required to simulate this movement.”

“We want to make a form of predictive model that, rather than making a single projection, describes the range of possibilities due to uncertainty in the model and the data. We hope to apply these methods to real-world modeling which is helpful for large scale projection of climate models.”

Several Georgia Tech faculty members and CSE students, as well as School of Computer Science Professor Tom Conte, are joining Issac at the five-day conference in Spokane, Washington.

Below is a list of Georgia Tech’s spotlight presentations, posters, and workshops being featured at SIAM CSE19 this week.

• A Proposal for Next-generation BLAS 
  • Mark Gates, James W. Demmel, Greg Henry, Xiaoye S. Li, Jason Riedy, and Peter Tang 
• Accelerated Interpolative Decompositions by General Proxy Point Methods
  • Xin Xing and Edmond Chow
• Applications of Tensor Decompositions
  • Rich Vuduc,Organizer
• Asynchronous Multigrid Methods
  • Edmond ChowandJordi Wolfson-Pou
• Benchmarking and Modeling Sparse Memory Accesses for Heterogeneous Systems 
  • Patrick Lavin
• Bringing Algorithms and New Applications to Novel Architectures – Part I of II
  • Organizers: Jason Riedyand Jeffrey Young
• Bringing Algorithms and New Applications to Novel Architectures – Part II of II
  • Organizers: Jason Riedyand Jeffrey Young
• Compressive Least-squares Migration with on-the-fly Fourier Transforms 
  • Philipp A. Witte, Mathias Louboutin, Fabio Luporini and Gerard J Gorman, and Felix Herrmann
• Fast Linear Algebra-based Triangle Analytics with Kokkos Kernels
  • Abdurrahman Yasar,Michael Wolf, Jonathan W. Berry, and Umit V. Catalyurek
• H-Div Conforming Methods for Geodynamic Stokes Flow
  • Tobin Isaac
• Introduction To PETSc
  • Tobin Isaac
• Machine Learning in Seismic Imaging: from Low-fidelity to High-fidelity 
  • Felix Herrmann, Ali Siahkoohi, and Mathias Louboutin
• Multigrid Solver Integrated Tree-Based Adaptive Refinement ({SITAR}) in {PETS}c
  • Mark Adams, Matthew G. Knepley, Tobin Isaac, and Johann Rudi
• New Models for Streaming Graphs
  • Chunxing Yinand Jason Riedy
• Novel Architectures for Applications in Data Science and Beyond
  • Jason Riedy, Jeffrey Young, and Tom Conte
• PLANC: Parallel Low Rank Approximation with Non-negativity Constraints
  • Srinivas Eswar
• Sparse Tensor Algebra and its Relations to Matrix and Graph Problems
  • Jiajia Li, Jimeng Sun,and Richard Vuduc
• SPARTan: Scalable PARAFAC2 for Large and Sparse Data  
  • Ioakeim Perros, Evangelos Papalexakis, Fei Wang, Rich Vuduc, Elizabeth Searles, Michael Thompson, and Jimeng Sun 
• Wave-based Imaging Meets Machine Learning
  • Organizers: Tristan van Leeuwenand Felix Herrmann