Brad Peterson

According to our database, Brad Peterson authored at least 7 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Automatic Halo Management for the Uintah GPU-Heterogeneous Asynchronous Many-Task Runtime.

Brad Peterson, Alan Humphrey, Daniel Sunderland, James C. Sutherland, Tony Saad, Harish Kumar Dasari, Martin Berzins

Int. J. Parallel Program., 2019

An Approach for Indirectly Adopting a Performance Portability Layer in Large Legacy Codes.

John K. Holmen, Brad Peterson, Martin Berzins

Proceedings of the 2019 IEEE/ACM International Workshop on Performance, 2019

2018

Demonstrating GPU code portability and scalability for radiative heat transfer computations.

Brad Peterson, Alan Humphrey, John K. Holmen, Todd Harman, Martin Berzins, Daniel Sunderland, H. Carter Edwards

J. Comput. Sci., 2018

Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation.

Sidharth Kumar, Alan Humphrey, Will Usher, Steve Petruzza, Brad Peterson, John A. Schmidt, Derek Harris, Ben Isaac, Jeremy Thornock, Todd Harman, Valerio Pascucci, Martin Berzins

Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

2017

Addressing Global Data Dependencies in Heterogeneous Asynchronous Runtime Systems on GPUs.

Brad Peterson, Alan Humphrey, John A. Schmidt, Martin Berzins

Proceedings of the Third International Workshop on Extreme Scale Programming Models and Middleware, 2017

2016

An Overview of Performance Portability in the Uintah Runtime System through the Use of Kokkos.

Daniel Sunderland, Brad Peterson, John A. Schmidt, Alan Humphrey, Jeremy Thornock, Martin Berzins

Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

2015

Reducing overhead in the Uintah framework to support short-lived tasks on GPU-heterogeneous architectures.

Brad Peterson, Harish Kumar Dasari, Alan Humphrey, James C. Sutherland, Tony Saad, Martin Berzins

Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2015