Sotabase

Career

· Professor, Georgia Institute of Technology2019–
· Associate Professor with tenure, Georgia Institute of Technology2013–2019
· Assistant Professor, Georgia Institute of Technology2007–2013
· Postdoctoral Researcher, Lawrence Livermore National Laboratory2004–2007
· Postdoctoral Researcher, University of California, Berkeley2004–2004
· PhD in Computer Science, University of California, Berkeley1997–2004
· B.S. in Computer Science, Cornell University1993–1997
· Diploma, Thomas Jefferson High School for Science and Technology1989–1993

Publications (188)

Optimization of sparse matrix-vector multiplication on emerging multicore platforms
International Conference on Software Composition · 2007
862
cited
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
Knowledge Discovery and Data Mining · 2018
599
cited
OSKI: A library of automatically tuned sparse matrix kernels
2005
579
cited
Model-driven autotuning of sparse matrix-vector multiply on GPUs
ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming · 2010
466
cited
Sparsity: Optimization Framework for Sparse Matrix Kernels
The international journal of high performance computing applications · 2004
375
cited
Automatic performance tuning of sparse matrix kernels
2003
298
cited
Self-Adapting Linear Algebra Algorithms and Software
Proceedings of the IEEE · 2005
238
cited
A performance analysis framework for identifying potential benefits in GPGPU applications
ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming · 2012
229
cited
A massively parallel adaptive fast-multipole method on heterogeneous architectures
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis · 2009
178
cited
Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures
2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis · 2010
164
cited
A Roofline Model of Energy
2013 IEEE 27th International Symposium on Parallel and Distributed Processing · 2013
159
cited
Performance Optimizations and Bounds for Sparse Matrix-Vector Multiply
International Conference on Software Composition · 2002
158
cited
Falcon: fault localization in concurrent programs
2010 ACM/IEEE 32nd International Conference on Software Engineering · 2010
157
cited
When Prefetching Works, When It Doesn’t, and Why
TACO · 2012
146
cited
Fast Sparse Matrix-Vector Multiplication by Exploiting Variable Block Structure
IEEE International Conference on High Performance Computing and Communications · 2005
144
cited
POET: Parameterized Optimizations for Empirical Tuning
IEEE International Parallel and Distributed Processing Symposium · 2007
143
cited
Many-Thread Aware Prefetching Mechanisms for GPGPU Applications
Micro · 2010
141
cited
Self-stabilizing iterative solvers
ACM SIGPLAN Symposium on Scala · 2013
137
cited
On the limits of GPU acceleration
2010
135
cited
When cache blocking of sparse matrix vector multiply works and why
Applicable Algebra in Engineering, Communication and Computing · 2007
120
cited
Sotabase