A. Pothen,
Three Tales from Matching: Approximation Algorithms, Multicore Machines, and Applications,
Keynote talk , IA3 Workshop, Supercomputing (SC15), Austin TX, Nov 2015.
A. Pothen,
Three Tales from Matching: Approximation Algorithms, Multicore Machines, and Applications,
Colloquium, Georgia Tech, School of Computational Science and Engineering, Atlanta GA, Oct. 2015.
Mu Wang and A. Pothen,
A Live Variables Approach to Higher Order Derivatives via AD,
17th EuroAD Workshop, Argonne IL Aug. 2015.
A. Pothen,
Aprpoximate Matching Algorithms and Clustering,
Workshop on Graph Clustering, Toulouse, France July 2015.
A. Pothen,
An Augmanted Matrix Approach for Fast Updates in Computational Surery and Power Grid Models,
Sparse Days in St. Girons III Conference, St. Girons, France, June 2015.
A. Pothen,
How to Match in Parallel: Approximation Algorthms and Multicore Machines,
Keynote talk, PCO Workshop, IPDPS, May 2015.
A. Pothen, Baharak Saberidokht and Bartek Rajwa,
Classifying Acute Myeloid Leukemia Samples via Immunophenotyeps through FlowMatch,
Great Lakes Conference on Bioinformatics, West Lafayette IN May 2015.
Bartek Rajwa, Baharak Saberidokht and A. Pothen,
Classifying Acute Myeloid Leukemia Samples via Immunophenotyeps through FlowMatch,
Cyto 2015, Edinburgh Scotland, May 2015.
Yu-Hong Yeung and A. Pothen,
An Augmented Matrix Approach for Fast Contingency Analysis in Power Grids,
SIAM Conference in CSE, Salt Lake City, March 2015.
A. Pothen,
A 2/3 Approximation Algorthm for Vertex Weighted Matching in Bipartite Graphs,
Computer Science and Engineering, University of Michigan, Jan. 2015.
A. Pothen,
Big Data Algorithms in Bioinformatics,
Keynote talk , Workshop on Big Data Analytics in Bioinformatics, Bangalore India, Dec. 2014.
A. Pothen,
Computing Derivative Matrices via Algorithmic Differentiation,
Intel Parallel Computing Lab, Bangalore, India, Dec. 2014.
A. Pothen,
Approximation Algorithms for Graph Matching,
Dagstuhl Seminar on High Performance Graph Computations, Dagstuhl , Germany,
Nov. 2014.
A. Pothen,
A New Reverse Mode Algorithm for Computing Hessians in Algorithmic
Differentiation,
Dagstuhl Seminar on Adjoint Methods for AD, Finance and PDEs, Sep. 2014.
Ariful Azad, Bartek Rajwa and A. Pothen,
FlowMatch: An Algorithm for Classifying Flow Cytometry Samples via Metaclusters and Templates,
Cyto 2014, Fort Lauderdale, May 2014.
A. Pothen and Yu-Hong Yeung,
The Virtual Scalpel: Computationally Modeling Surgery through an Augmented Matrix Approach,
University of Vermont, Burlington, March 2014.
A. Pothen, Arif Khan and David Gleich,
A Parallel Algorithm for Aligning Networks via Belief Propagation and Approximate
Matching,
SIAM Parallel Processing Conference, Portland, OR Feb. 2014.
A. Pothen and Yu-Hong Yeung,
Fast Updates for Contingency Analysis in Power Grids through
an Augmented Matrix Approach,
Washington State Unviersity, Pullman WA Feb. 2014.
Older Presentations
A. Pothen,
Automatic Differentiation and Combinatorics: An Accidental Partnership?,
Keynote Talk , The 5th International Conference on Automatic Differentiation, Bonn, Germany, Aug 11-15 2008.
A. Pothen,
Approximation Algorithms for Vertex Weighted Matching, SIAM Conference on Discrete Mathematics, Minisymposium on CSC, Burlington, VT, June 2008.
A. Pothen,
Computing Hessians without tears: automatic differentiation and graph coloring,
Minisymposium on Combinatorial Scientific Computing, 6th International Congress on Industrial and Applied Mathematics (ICIAMÂ’07), Zurich, Switzerland, Jul 16th 2007.
A. Pothen,
Enabling Petascale Computational Science through Combinatorial Algorithms,
SciDAC 2007 Conference, Boston, MA, June 2007.
A. Pothen,
The CSCAPES Institute: Vision and Plans,
SIAM Conference on Computational Science, Costa Mesa CA, 2007.
Assefaw Gebremedhin, Alex Pothen, Arijit Tarafdar and Andrea Walther,
Graph Coloring Algorithms for Efficient Automatic Differentiation,
SIAM Workshop on Combinatorial Scientific Computing, Costa Mesa CA, 2007.
Sanjukta Bhowmick, Erik G. Boman, Karen Devine, Assefaw Gebremedhin, Bruce Hendrickson, Paul Hovland, Todd Munson, and Alex Pothen,
Combinatorial Algorithms Enabling Computational Science: Tales from the Front,
SciDAC 2006 Conference, Denver, June 2006.
A. Pothen,
The Organization of Proteomic Networks,
SIAM Conference on Life Sciences, Raleigh, NC, 2006.
Alex Pothen, Mohammad Zubair, Kurt Maly, Chris Osgood, Oliver John Semmes, Emad Ramadan, Mahmoud Abu-elela, and Praveen Namburi,
A Human Virus Interactome Resource,
Russian Conference on Digital Libraries, 2006.
Assefaw H. Gebremedhin, Arijit Tarafdar, Fredrik Manne, and Alex Pothen,
New Star and Acyclic Coloring Algorithms,
Sparse Days at CERFACS, Toulouse, France, June 2006.
A. Pothen,
Approximation Algorithms for Vertex Weighted Matching,
SIAM Workshop on Combinatorial Scientific Computing, Toulouse, France, June 21-23, 2005.
A.H. Gebremedhin, F. Manne, A. Pothen, A. Tarafdar and R. Aksu,
Graph Coloring for Computing Derivatives: A Unifying Framework,
SIAM Conference on Optimization, Stockholm, Sweden, May 15-19, 2005.
A. Pothen, A.H. Gebremedhin and R. Aksu,
Ordering and Graph Coloring: An Experimental Study,
SIAM Conference on Computational Science and Engineering, Orlando, Florida, Feb 12-15, 2005.
A.H. Gebremedhin, F. Manne and A. Pothen,
What Color is Your Jacobian? Graph Coloring for Computing Derivatives,
SIAM Annual Meeting, Portland, OR, July 12-16, 2004.
Chris Osgood, Alex Pothen and Emad Ramadan,
Mathematical Models in Cell Signaling Systems,
Vanderbilt University and Meharry Medical College, June 2004.
Florin Dobrian and Alex Pothen,
Para-04 Workshop on the State of the Art in Scientific Computing, Copenhagen, Denmark, June 2004.
Alex Pothen, Emad Ramadan, and Arijit Tarafdar,
A hypergraph model for the protein complex network in the yeast,
IPDPS Workshop on High Performance Computational Biology, Santa Fe, NM, April 2004.
A. Pothen,
BIRS Workshop on Combinatorial Matrix Theory, Banff, Alberta, Canada, 2004.
A. Pothen,
SIAM Workshop on Combinatorial Scientific Computing, San Francisco, CA, Feb 2004.
A.H. Gebremedhin, F. Manne and A. Pothen,
Parallel Algorithms for Graph Coloring Problems in Numerical Optimization,
SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, CA, Feb 25-27, 2004.
Florin Dobrian and Alex Pothen,
The design of a memory-efficient sparse direct solver,
SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, CA, Feb 25-27, 2004.
Assefaw Gebremedhin and Alex Pothen,
Parallel algorithms for distance-k coloring of graphs for numerical optimization,
SIAM Conference on Parallel Processing, San Francisco CA, Feb 2004.
Alex Pothen, Ali Pinar, and Edmond Chow,
The Nice Basis Problem: Matroids and Matchings,
SVG meeting, Scientific Computing and Computational Mathematics, Stanford University, CA, Jan 2004.
Alex Pothen, Assefaw Gebremedhin, and Fredrik Manne,
Graph coloring in numerical optimization revisited,
ICIAM, Sydney, Australia, July 2003.
Alex Pothen and Florin Dobrian,
The design of an object-oriented sparse direct solver library: OBLIO, Sparse Days and Grid Computing,
St. Girons, France, June 2003.
Alex Pothen, Dayanand Naik and Michael Wagner,
Protein biomarkers for classifying cancer,
IMACS conference, Denver CO, 2003.