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

Author:

Peterson Brad,Humphrey Alan,Sunderland Dan,Sutherland James,Saad Tony,Dasari Harish,Berzins Martin

Funder

National Science Foundation

National Nuclear Security Administration

Oak Ridge National Laboratory

Office of Science

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Reference42 articles.

1. Scientific Computing and Imaging Institute. Uintah Web Page (2015). http://www.uintah.utah.edu/

2. Humphrey, A., Meng, Q., Berzins, M., Harman, T.: Radiation modeling using the uintah heterogeneous CPU/GPU runtime system. In: Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment (XSEDE 2012). ACM (2012)

3. Peterson, B., Dasari, H., Humphrey, A., Sutherland, J., Saad, T., Berzins, M.: Reducing overhead in the uintah framework to support short-lived tasks on GPU-heterogeneous architectures. In: Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, WOLFHPC ’15, pp. 4:1–4:8. ACM, New York (2015)

4. Meng, Q., Humphrey, A., Berzins, M.: The Uintah framework: a unified heterogeneous task scheduling and runtime system. In: Digital Proceedings of Supercomputing 12—WOLFHPC Workshop. IEEE (2012)

5. Berzins, M.: Status of Release of the Uintah Computational Framework. Technical report UUSCI-2012-001. Scientific Computing and Imaging Institute (2012)

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