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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Tang Hu, X.S. Chen, D.Z. Niemier, M. Barrett, R.F. Hammond, S.D. Hsieh, G. |
| Copyright Year | 2013 |
| Description | Author affiliation: Center for Comput. Res., Sandia Nat. Labs., Albuquerque, NM, USA (Barrett, R.F.; Hammond, S.D.; Hsieh, G.) || Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA (Li Tang; Hu, X.S.; Chen, D.Z.; Niemier, M.) |
| Abstract | The Finite Element Method (FEM) is a numerical technique widely used in finding approximate solutions for many scientific and engineering problems. The Data Assembly (DA) stage in FEM can take up to 50% of the total FEM execution time. Accelerating DA with Graphics Processing Units (GPUs) presents challenges due to DA's mixed compute-intensive and memory-intensive workloads. This paper uses a representative finite element mini-application to explore DA acceleration on CPU+GPU platforms. Implementations based on different thread, kernel and task design approaches are developed and compared. Their performance and energy consumption are measured on four CPU+GPU and two CPU only platforms. The results show that (i) the performance and energy for different implementations on the same platform can vary significantly but the performance and energy trends are the same, and (ii) there exist performance and energy tradeoffs across some platforms if the best implementation is chosen for each of the platforms. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 321 |
| Ending Page | 328 |
| File Size | 1813338 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479904945 |
| ISSN | 2160052X |
| e-ISBN | 9781479904938 |
| DOI | 10.1109/ASAP.2013.6567597 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Graphics processing units Instruction sets Kernel Finite element analysis Acceleration Computer architecture Data communication |
| Content Type | Text |
| Resource Type | Article |
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