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Thursday, February 28 • 12:55pm - 1:20pm
Applications and Programming Models: "A New Approach to Load Balance for Parallel Compositional Simulation Based on Reservoir Model Over-decomposition," Yuhe Wang, Texas A&M University, Petroleum Engineering


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The quest for efficient and scalable parallel reservoir simulators has been evolving with the advancement of high performance computing architectures. Among the various challenges of efficiency and scalability, load imbalance is a major obstacle that has not been fully addressed and solved. The reasons that cause load imbalance in parallel reservoir simulation are both static and dynamic. Robust graph partitioning algorithms are capable of handling static load imbalance by decomposing the underlying reservoir geometry to distribute a roughly equal load to each processor. However, these loads determined by a static load balancer seldom remain unchanged as the simulation proceeds in time. This so called dynamic imbalance can be further exacerbated in parallel compositional simulations. The flash calculations for equations of state in complex compositional simulations not only can consume over half of the total execution time but also are difficult to balance merely by a static load balancer.


Henri Calandra

Henri Calandra obtained his M.Sc. in mathematics in 1984 and a Ph.D. in mathematics in 1987 from the Universite des Pays de l’Adour in Pau, France. He joined Cray Research France in 1987 and worked on seismic applications. In 1989 he joined the applied mathematics department of the French Atomic Agency. In 1990 he started working for Total SA. After 12 years of work in high performance computing and as project leader for Pre-stack Depth... Read More →

Olav Lindtjorn

HPC and Innovation Manager, Schlumberger
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avatar for Jan Odegard

Jan Odegard

Executive Director, Ken Kennedy Institute for Information Technology, Rice University
Jan E. Odegard joined the Ken Kennedy Institute for Information Technology (formerly Computer and Information Technology Institute) at Rice University as Executive Director in 2002. In this role he led the development and deployment of large scale competing resources in support of research. Today, the computational resources deployed at Rice supports the research of over 100 faculty members and close to 500 users. The majority of users are... Read More →

avatar for John Killough

John Killough

Professor, Texas A&M University
HPC applications to petroleum reservoir simulation including uncertainty and implicit modeling of complex phenonena.

Yuhe Wang

Texas A&M University, Petroleum Engineering

Thursday February 28, 2013 12:55pm - 1:20pm
DH 1064 Duncan Hall