|
|
Presentations
2010
2009
2008
2007
2006
2010:
- SIAM Parallel Processing, Seattle, Feb 2010.
-
Michael Wolf, Recent Advances in Two-dimensional Sparse Matrix Partitioning.
-
Karen Devine, Comparing Programming Paradigms for Graph Algorithms.
2009:
-
Supercomputing 2009, Portland, Oregon, November 2009.
-
D. Bozdag, U. Catalyurek, F. Dobrian, A. Gebremedhin,
M. Halappanavar and A. Pothen
Combinatorial Algorithms Enabling Scientific Computing:
Petascale Algorithms for Graph Coloring and Matching.
Electronic Poster.
See here more info.
-
SIAM Workshop on Combinatorial Scientific Computing (CSC09), Monterey, CA, October 2009.
-
M. Wolf, E. Boman, and C. Chevalier,
Improved Data Partitioning by Nested Dissection with
Applications to Information Retrieval
-
A. Gebremedhin, D. Nguyen, and A. Pothen,
Ordering for Coloring and More
-
F. Dobrian, M. Halappanavar, and A. Pothen,
The Role of the Dulmage-Mendelsohn Decomposition in
Bipartite Maximum Vertex-Weight Matching
-
M. Halappanavar, F. Dobrian and A. Pothen,
Matchings in Massive Graphs on Terascale Computers
-
D. Day, E. Boman, H. Thornquist and E. Keiter,
A Parallel Preconditioning Strategy for Efficient Transistor-Level
Circuit Simulation
-
I. Safro,
Algebraic Distance and Its Applications to
Combinatorial Scientific Computing Problems
-
SIAM Conference on Computational Science and Engineering, Miami, Florida, March 2009.
-
U. Catalyurek, C. Aykanat and B. Ucar,
Partitioning Sparse Matrices
-
C. Chevalier and E. Boman,
Parallel Sparse Matrix Ordering with Zoltan
-
M. Halappanavar, F. Dobrian and A. Pothen,
A Parallel Half-Approximation Algorithm for the Weighted Matching Problem
-
A. Gebremedhin, A. Tarafdar, D. Nguyen and A. Pothen,
ColPack: A Graph Coloring Package for Sparse Derivative Computation
-
J. Utke, Automatic Differentiation via Source Transformation
-
Dagstuhl Seminar on CSC , Germany, Feb 2009.
-
B. Hendrickson,
Combinatorial Scientific Computing:
A View to the Future (Plenary talk)
-
A. Pothen, Matching in Scientific Computing (Plenary talk)
-
P. Hovland, Combinatorial Problems in Automatic Differentiation
(Plenary talk)
-
E. Boman,
Zoltan - A Parallel Toolkit for Partitioning, Ordering,
and Coloring (Tutorial)
-
J. Utke,
Automatic Differentiation with OpenAD and Combinatorial Problems (Tutorial)
-
A. Gebremedhin,
The Enabling Power of Graph Coloring Algorithms
in Automatic Differentiation (Contributed talk)
-
A. Lyons and I. Safro,
Randomized Heuristics for Exploiting Jacobian Scarcity (Contributed talk)
-
D. Bozdag and U. Catalyurek,
Parallel Short Sequence Mapping
for High Throughput Genome Sequencing (Contributed talk)
-
C. Chevalier and I. Safro,
Weighted Aggregation for Multilevel Graph Partitioning (Poster)
2008:
-
The 5th International Conference on Automatic Differentiation,
Bonn, Germany, Aug 11-15 2008.
-
A. Pothen, Automatic Differentiation and Combinatorics: An Accidental Partnership? (invited talk)
-
A. Walther, A.H. Gebremedhin, A. Pothen, Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process
-
Charpentier, J. Utke, Dal Cappello, Efficient Higher-Order Derivatives of the Hypergeometric Function
-
A. Lyons, J. Utke, On the Practical Exploitation of Scarsity
-
P. Hovland, Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation
-
P. Hovland, Abdel-Khalik, A. Lyons, Stover, J. Utke, A Low Rank Approach to Automatic Differentiation
-
SciDAC 2008 Conference, Seattle, WA, July 2008.
- SIAM Conference on
Discrete Mathematics, Minisymposium on CSC, Burlington, VT, June 2008.
-
A. Pothen, Approximation Algorithms for Vertex Weighted Matching
-
E. Boman, Graph and hypergraph models and algorithms for sparse matrix-vector multiplication
-
CSCAPES Workshop 2008,
Santa Fe, NM, Jun 10-13, 2008.
-
E. Boman, Load-balancing, Partitioning, Ordering
-
U. Catalyurek, Repartitioning and Matrix Partitioning
-
A. Gebremedhin, Graph Coloring in Parallel Processing and Scientific Computing
-
P. Hovland, Automatic Differentiation
-
K. Devine, Dynamic Load Balancing Needs of Parallel Adaptive Analysis
-
F. Dobrian, Parallel Approximate Matching
-
M. Wolf, Optimizing Parallel Sparse Matrix-Vector Multiplication by Partitioning
-
D. Bozdag, Parallel Distance-2 Coloring
-
K. Devine and C. Chevalier,
Tutorial: The Zoltan Toolkit
-
P. Hovland,
Tutorial: Automatic Differentiation
-
SIAM Conference on Optimization, Minisymposium on Graph Coloring for Sparse Derivative Computation,
Boston, MA, May 2008.
-
A. Gebremedhin,
Novel Acyclic and Star Coloring Algorithms and
Their Application to Effcient Sparse Hessian Computation via Automatic Differentiation
-
SIAM Conference on Parallel Processing for Scientific Computing, Minisymposium on Parallel CSC,
Atlanta, GA, March 2008.
-
A. Gebremedhin,
A Scalable Algorithmic Framework for Parallel Graph Coloring on Distributed Memory Computers
2007:
- Invited talk, North Carolina State University, September 2007.
- CSC Minisymposium at the 6th International Congress on Industrial and Applied Mathematics (ICIAM?07), Zurich, Switzerland, July
2007.
-
F. Dobrian, Matching algorithms in scientific computing
-
P. Hovland, Hierarchical coloring
-
P. Hovland, The OpenAD project: ADIC 2.0 and OpenAD/F
-
A. Pothen, Computing Hessians without tears: automatic differentiation and graph coloring
-
E. Boman, Combinatorial models and algorithms for parallel sparse matrix distributions
-
U. V. Catalyurek, Hypergraph-based Dynamic Load Balancing for Adaptive Scientific Computations
-
SciDAC 2007 Conference, Boston, MA, June 2007.
-
K. Devine, Partitioning and Dynamic Load Balancing for Petascale Applications
-
A. Pothen, Enabling Petascale Computational Science through Combinatorial Algorithms
-
E. Boman and K. Devine, Tutorial: Partitioning, Load Balancing and the Zoltan Toolkit
-
P. Hovland and A. Gebremedhin, Computing Jacobians and Hessians for Nonlinear
PDEs (Poster)
-
Third SIAM Workshop on Combinatorial Scientific Computing, Costa Mesa, CA, Feb 2007.
-
E. Boman and U. Catalyurek, Fine-grain parallel sparse matrix distribution
-
C. Chevalier and F. Pellegrini, The PT-Scotch project
-
M. Strout , Hypergraphs for run-time reordering
-
I. Karlin and J. Utke, Local Jacobian pre-accumulation
-
A.H. Gebremedhin, A. Pothen, A. Tarafdar, F. Manne and A. Walther,
Sparse Hessian computation using Automatic Differentiation
-
SIAM Conference on Computational Science and Engineering, Costa Mesa, CA, Feb 2007.
-
A. Pothen and A. Gebremedhin,
Graph Coloring Problems for Computing Derivatives: Recent Developments and Future Plans
-
K. Devine, U. Catalyurek, E. Boman,
D. Bozdag, R. Heaphy and L.A. Fisk,
Parallel hypergraph repartitioning and load balancing
-
U. Catalyurek and D. Bozdag,
How scalable is your load balancer?
-
P. Hovland, S. Bhowmick and T. Munson, and M. Strout,
Performance improvement in a mesh quality optimization application
-
The CSCAPES team,
Combinatorial Scientific Computing and Petascale Simulations: A SciDAC Applied Math Institute. (Poster)
2006:
- DOE PI Meeting, October 2006.
- SciDAC 2006 Conference, Denver, CO, June 2006.
|
|
|