Talks and Posters

• A. Gebremedhin,
  Efficient Computation of Jacobians and Hessians Using Automatic Differentiation,
  PRISM Seminar Series, Birck Nanotechnology Center, Purdue University, March 13, 2009.

• A. Gebremedhin, A. Tarafdar, D. Nguyen and A. Pothen,
  ColPack: A Graph Coloring Packager for Sparse Derivative Computation,
  SIAM Conference on Computational Science and Engineering, March 2--6, 2009, Miami, FL..
  A talk presented at a minisymposium on automatic differentiation and CSE.

• A. Gebremedhin,
  The Enabling Power of Graph Coloring Algorithms in Automatic Differentiation,
  Dagstuhl Seminar on Combinatorial Scientific Computing, Feb 1--6, 2009, Germany.

• The CSCAPES team,
  Combinatorial Scientifc Computing and Petascale Simulations Institute (CSCAPES): Recent Progress
  SciDAC 2008 Conference, July 2008, Seattle, WA. (Poster)
  

• A. Gebremedhin,
  Graph Coloring in Parallel Processing and Scientic Computing,
  CSCAPES Workshop 2008, June 10-13, 2008, Santa Fe, NM.
  

• A. Gebremedhin,
  Novel Acyclic and Star Coloring Algorithms and Their Application to
  Efficient Sparse Hessian Computation via Automatic Differentiation,
  SIAM Conference on Optimization, May 10-13, 2008, Boston, MA.
  Invited talk at a minisymposium on combinatorics in AD.
  

• A. Gebremedhin,
  A Scalable Algorithmic Framework for Parallel Graph Coloring
  on Distributed Memory Computers
  SIAM Conference on Parallel Processing for Scientific Computing,
  March 12--14, 2008, Atlanta, GA. Invited talk at a minisymposium on parallel CSC.
  

• P. Hovland and A. Gebremedhin,
  Computing Jacobians and Hessians for Nonlinear PDEs,
  SciDAC 2007 Conference, June 2007, Boston, MA. (Poster)
  

• A.H. Gebremedhin and A. Pothen,
  
Graph Coloring for Automatic Differentiation:
A project in the SciDAC Institute
Combinatorial Scientific Computing and Petascale Simulations,
Research Expo 2007, Norfolk, VA, April 2007. (Poster).

• A.H. Gebremedhin, A. Pothen, A. Tarafdar, F. Manne and A. Walther,
  
Sparse Hessian Computation using Automatic Differentiation,
Third SIAM Workshop on Combinatorial Scientific Computing,
Costa Mesa, CA, Feb 2007.


A. Pothen and A. Gebremedhin,
Graph Coloring Problems for Computing Derivatives:
Recent Developments and Future Plans,
SIAM Conference on Computational Science and Engineering,
Costa Mesa, CA, Feb 2007.

• The CSCAPES team,
  
Combinatorial Scientific Computing and Petascale Simulations:
A SciDAC Applied Math Institute,
SIAM Conference on Computational Science and Engineering,
Costa Mesa, CA, Feb 2007. (Poster).

• S. Bhomwick, E.G. Boman, K. Devine, A.H. Gebremedhin,
  B. Hendrickson, P. Hovland, T. Munson and A. Pothen,
Combinatorial Algorithms Enabling Computational Science:
Tales from the Front.
SciDAC 2006 Conference, June 2006, Denver. (Poster).

• A.H. Gebremedhin, F. Manne, A. Pothen and A. Tarafdar,
New Star and Acyclic Coloring Algorithms (poster).
CSC05 - Second Workshop on Combinatorial Scientific Computing,  
June 21 - 23, 2005, Toulouse, France.

• A.H. Gebremedhin, F. Manne, A. Pothen, A. Tarafdar and R. Aksu,
Graph Coloring for Computing Derivatives: A Unifying Framework.
SIAM Conference on Optimization, May 15 - 19, 2005, Stockholm, Sweden.
Invited talk at a minisymposium on Automatic Differentiation.