1992 |
CS |
Dinesh Manocha
Algebraic and Numeric Techniques in Modeling and Robotics
|
thesis committee member |
1996 |
CS |
Xiaoye Li
Sparse Gaussian Elimination on High Performance Computers
|
graduate adviser |
1996 |
Math |
Huan Ren
On the Error Analysis and Implementation of Some Eigenvalue Decomposition and Singular Value Decomposition Algorithms
|
graduate adviser |
1997 |
CS |
Inderjit Dhillon
A New O(n^2) Algorithm for the Symmetric Tridiagonal Eigenvalue/Eigenvector Problem
|
graduate adviser |
1997 |
CS |
Ken Stanley
Execution Time of Symmetric Eigensolvers
|
graduate adviser |
1998 |
CEE |
Mark Adams
Multigrid Equation Solvers for Large Scale Nonlinear Finite Element Simulations
|
graduate co-adviser |
1998 |
Math |
Daniel Wilkerson
Communication on Networks of Finite Automata: Three Instances of Wormhole Routing
|
graduate adviser |
2000 |
CS |
David Blackston
Pbody: A parallel N-Body Library
|
graduate adviser |
2001 |
CS |
Tzu-Yi Chen
Preconditioning Sparse Matrices for Computing Eigenvalues and Solving Linear Systems of Equations
|
graduate adviser |
2002 |
Math |
Plamen Koev
Accurate and Efficient Computations with Structured Matrices
|
graduate adviser |
2003 |
CS |
Richard Vuduc
Automatic Performance Tuning of Sparse Matrix Kernels
|
graduate adviser |
2005 |
AS&T |
Jason Clark
Electro Micro-Metrology
|
graduate co-adviser |
2006 |
Math |
Jiawang Nie
Global Optimization and Polynomial Functions and Applications
|
graduate adviser |
2006 |
CS |
David Bindel
Structured and Parameter-Dependent Eigensolvers for Simulation-Based Design of Resonant MEMS
|
graduate co-adviser |
2007 |
CS |
David Garmire
Methods and Devices for Optical and Electrical Metrology with Application to Phase-Shifting Interferometers, Torsional Microstructures, and Levitated Accelerometers
|
graduate adviser |
2007 (expected) |
CS |
Yozo Hida
|
graduate adviser |
2008 |
CS |
William Kramer
PERCU: A Holistic Method for Evaluating High Performance Computing Systems
|
graduate co-adviser |
2010 |
CS |
Edward Jason Riedy
Making Static Pivoting Scalable and Dependable
|
graduate adviser |
2010 |
CS |
Mark Hoemmen
Communication-avoiding Krylov subspace methods
|
graduate adviser |
2013 |
CS |
Grey Ballard
Avoiding Communication in Dense Linear Algebra
|
graduate adviser |
2014 |
CS |
Edgar Solomonik
Provably Efficient Algorithms for Numerical Tensor Algebra
|
graduate adviser |
2014 |
CS |
Andrew Gearhart
Bounds on the Energy Consumption of Computational Kernels
|
graduate adviser |
2015 |
CS |
Nicholas Knight
Communication-Optimal Loop Nests
|
graduate adviser |
2015 |
CS |
Erin Carson
Communication-Avoiding Krylov Subspace Methods in Theory and Practice
|
graduate adviser |
2016 |
CS |
Vasily Volkov
Understanding Latency Hiding on GPUs
|
graduate adviser |
2018 |
CS |
Aditya Devarakonda
Avoiding Communication in First Order Methods for Optimization
|
graduate adviser |
2019 |
CS |
Orianna DeMasi
Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals
|
graduate co-adviser |
2019 |
CS |
Rebecca Roelofs
Measuring Generalization and Overfitting in Machine Learning
|
graduate co-adviser |
2019 |
Math |
Alex Rusciano
Two Geometric Results regarding Hölder-Brascamp-Lieb Inequalities, and Two Novel Algorithms for Low-Rank Approximation
|
graduate adviser |
2020 |
CS |
Yang You
Fast and Accurate Machine Learning on Distributed Systems and Supercomputers
|
graduate adviser |
2023 |
CS |
Grace Dinh
Optimization-Based Mappers and Lower Bounds for Tensor Problems
|
graduate adviser |
2025 |
CS |
Vivek Bharadwaj
Accelerating Multilinear Maps and Structured Sparse Tensor Kernels
|
graduate co-adviser |
2026 (expected) |
CS |
Tianyu Liang
|
graduate co-adviser |
2026 (expected) |
CS |
Roger Hsiao
|
graduate co-adviser |
2027 (expected) |
CS |
Yen-Hsiang Chang
|
graduate co-adviser |
2028 (expected) |
Math |
Yuchen Fang
|
graduate co-adviser |