Scientific Computing

scientific computingSimulation plays a major role in nearly every area of science and engineering—from data analysis to physical models. Our faculty design, build, and analyze the behavior of numerical algorithms to ensure that numerical methods are accurate and that implementations are efficient.

We design and analyze the accuracy of methods, developing numerical approximations to partial differential equations with advanced finite element methods and integral equations. We also develop solvers for these problems, instrumenting techniques based on numerical linear algebra, iterative subspace methods, and multigrid methods. Our research explores the efficiency of these methods on a range of architectures and environments, from high-concurrency nodes, such as GPUs, to large-scale supercomputing systems. We explore parallel scalability and analyze performance in computing kernels from graph algorithms to sparse linear algebra.

CS Faculty and Their Research Interests

Paul Fischer numerical PDEs, spectral element methods, computational fluid dynamics, parallel and high-performance algorithms, iterative methods 
William Gropp high performance scientific computing, scalable numerical algorithms for PDEs, large-scale parallel software 
Michael T. Heath numerical analysis and scientific computing, numerical linear algebra and optimization 
Laxmikant Kale simulation software, numerical libraries and algorithms 
Andreas Kloeckner integral equation methods for PDEs, high-order finite element methods for hyperbolic PDEs, tools and languages for high-performance computing, time integration 
William Kramer extreme-scale computing and analytics, performance evaluation, data and storage techniques 
Luke Olson numerical analysis, scientific computing, large-scale simulation 
Marc Snir large-scale parallel systems, algorithms, and libraries 
Edgar Solomonik communication complexity

Affiliate Faculty

Robert Brunner, Astronomy computational astrophysics
Daniel S. Katz, NCSA resilience and fault-tolerance, many-task computing, parallel and distributed computing, sustainable and open science software

Adjunct Faculty

Frank Cappello,
Argonne National Lab
determinism in high-performance and distributed computing, check-pointing, fault prediction 

Related Scientific Computing Research Efforts and Groups

Scientific Computing Research News

Professor Bill Gropp

NSF Award Keeps Midwest Big Data Hub at Illinois

July 12, 2019   Hub headquartered at NCSA leads research in advanced materials, water quality, health, and other areas across 12 states.
The Climate Corporation makes $500,000 donation to CS + Crop Sciences

The Climate Corporation Invests in Illinois' CS + Crop Sciences Major

April 30, 2019   The $500,000 gift will provide scholarships in the new CS + Crop Sciences program, training future generations to help secure the world’s food supply.
Illinois graduate and Stanford CS Professor Gene Golub

Gene Golub Had A Talent For Giving, Which Lives On At Illinois CS

February 15, 2019   Golub believed in giving back, and his gifts to Illinois CS continue to fund scholarships, fellowships, and a professorship.
Professor and Fulton Watson Copp Chair Emeritus Michael Heath

The 50 People Who Really Perform for Chicago Theater

January 2, 2019  

NewscityStage -- No. 6: Michael and Mona Heath see more theater than you—330 shows in 2018 alone. If their name sounds familiar, it’s because you’ve seen it in the back of a program ... or, in their highest-profile project to date, the Den Theatre’s Heath Main Stage. Yes, they are those Heaths. 

 

 

National Center For Supercomputing Applications Director and Thomas M. Siebel Chair in Computer Science William Gropp

NCSA Director William Gropp Named AAAS Fellow

November 27, 2018  

HPCWire -- National Center For Supercomputing Applications Director and Thomas M. Siebel Chair in Computer Science William Gropp has been named a Fellow of the American Association for the Advancement of Science (AAAS). Also covered in The Daily Illini.