Olga Pearce

Computer Scientist
Computation/Center for Applied Scientific Computing
Email: olga@llnl.gov
Phone: +19254220436

Olga Pearce is a computer scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). Her research interests include distributed data structures and parallel algorithms; parallel programing models; performance analysis, optimization, and modeling; and application load balancing.  Olga joined LLNL in 2009 as a Lawrence Scholar working with Bronis de Supinski, and joined CASC in 2014.  Olga received her Ph.D. in Computer Science from Texas A&M University.

Full CV


Publications

Olga Pearce, Hadia Ahmed, Rasmus W. Larsen, Peter Pirkelbauer, and David F. Richards. Exploring Dynamic Load Imbalance Solutions with the CoMD Proxy Application. In Future Generation Computer Systems, 2018.

Alexandre Bergel, Abhinav Bhatele, David Boehme, Patrick Gralka, Kevin Griffin, Marc-Andre Hermanns, Dusan Okanovic, Olga Pearce, and Tom Vierjahn. Visual Analytics Challenges in Analyzing Calling Context Trees. In Workshop on Visual Performance Analysis (VPA 18) at SC18, November 2018.

Olga Pearce. Experiences Using CPUs and GPUs for Cooperative Computation in a Multi- Physics Simulation. In Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2 2018) at the International Conference on Parallel Processing (ICPP 2018) conference, August 2018.

David Beckingsale, Olga Pearce, Ignacio Laguna, and Todd Gamblin. Apollo: Reusable Models for Fast, Dynamic Tuning of Data-Dependent Code. In IEEE International Parallel & Distributed Processing Symposium (IPDPS’17), Orlando, Florida, USA, May 29 - June 2, 2017.

David Boehme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew LeGendre, Olga Pearce, and Martin Schulz. Caliper: Performance Introspection for HPC Software Stacks. In ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’16), Salt Lake City, Utah, USA, November 13-18, 2016.

Olga Pearce, Hadia Ahmed, Rasmus W. Larsen, and David F. Richards. Enabling Work Migration in CoMD to Study Dynamic Load Imbalance Solutions. In Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS’16) held as part of ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’16), Salt Lake City, Utah, USA, November 13, 2016.

MPMD Framework for Offloading Load Balance Computation, Olga Pearce, Todd Gamblin, Bronis de Supinski, Nancy Amato, In Proc. Int. Par. and Dist. Proc. Symp. (IPDPS), Chicago, IL, USA, May 2016.  
Proceedings(pdfabstract)

Load Balancing N-Body Simulations with Highly Non-Uniform Density, Olga Pearce, Todd Gamblin, Bronis de Supinski, Nancy M. Amato, In Proc. ACM Int. Conf. Supercomputing (ICS), pp. 113-122 , Munchen, Germany, Jun 2014. Proceedings(pdf, abstract)

Quantifying the Effectiveness of Load Balance Algorithms, Olga Pearce, Todd Gamblin, Bronis de Supinski, Martin Schulz, Nancy M. Amato, In Proc. ACM Int. Conf. Supercomputing (ICS), Jun 2012.
Proceedings(pdf, abstract)

The STAPL Parallel Container Framework, Gabriel Tanase, Antal Buss, Adam Fidel, Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith, Nathan Thomas, Xiabing Xu, Nedhal Mourad, Jeremy Vu, Mauro Bianco, Nancy M. Amato, Lawrence Rauchwerger, In Proc. ACM SIGPLAN Symp. Prin. Prac. Par. Prog. (PPOPP), Feb 2011.
Proceedings(pdf, abstract)

STAPL: Standard Template Adaptive Parallel Library, Antal Buss, Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith, Gabriel Tanase, Nathan Thomas, Xiabing Xu, Mauro Bianco, Nancy M. Amato, Lawrence Rauchwerger, In Haifa Experimental Systems Conference, Haifa, Israel, May 2010.
Proceedings(pdf, abstract)

The STAPL pList, Gabriel Tanase, Xiabing Xu, Antal Buss, Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith, Nathan Thomas, Mauro Bianco, Nancy M. Amato, Lawrence Rauchwerger, In Wkshp. on Lang. and Comp. for Par. Comp. (LCPC), Newark, Delaware, Oct 2009.
Proceedings(pdf, abstract)

A Framework for Adaptive Algorithm Selection in STAPL, Nathan Thomas, Gabriel Tanase, Olga Tkachyshyn, Jack Perdue, Nancy M. Amato, Lawrence Rauchwerger, In Proc. ACM SIGPLAN Symp. Prin. Prac. Par. Prog. (PPOPP), pp. 277-288, Chicago, Illinois, Jun 2005.
Proceedings(ps, pdf, abstract)

Teaching Parallel Programming and Building Parallel Computers, Jie Liu, Olga Tkachyshyn, Brian McGee, and Cory Kissinger, In Proc. International Conference on Frontiers in Education: Computer Science and Computer Engineering, pp. 149-155, Las Vegas, Nevada, June 20-23, 2005.