Modeling the Office of Science Ten Year Facilities Plan: The PERI Architecture Tiger Team

TitleModeling the Office of Science Ten Year Facilities Plan: The PERI Architecture Tiger Team
Publication TypeConference Paper
Year of Publication2009
Authorsde Supinski, BR, Alam, S, Bailey, DH, Carrington, L, Daley, C, Dubey, A, Gamblin, T, Gunter, D, Hovland, PD, Jagode, H, Karananic, K, Marin, G, Mellor-Crummey, J, Moore, S, Norris, B, Oliker, L, Olschanowsky, C, Roth, PC, Schulz, M, Shende, S, Snavely, A, Spear, W, Tikir, M, Vetter, JS, Worley, PH, Wright, N
Conference NameJournal of Physics: Conference Series
Date Published05/2009
Other NumbersANL/MCS-P1631-0509
Abstract

The Performance Engineering Institute (PERI) originally proposed a tiger team activity as a mechanism to target significant effort optimizing key Office of Science applications, a model that was successfully realized with the assistance of two JOULE metric teams. However, the Office of Science requested a new focus beginning in 2008: assistance in forming its ten year facilities plan. To meet this request, PERI formed the Architecture Tiger Team, which is modeling the performance of key science applications on future architectures, with S3D, FLASH and GTC chosen as the first application targets. In this activity, we have measured the performance of these applications on current systems in order to understand their baseline performance and to ensure that our modeling activity focuses on the right versions and inputs of the applications. We have applied a variety of modeling techniques to anticipate the performance of these applications on a range of anticipated systems. While our initial findings predict that
Office of Science applications will continue to perform well on future machines from major hardware vendors, we have also encountered several areas in which we must extend our modeling techniques in order to fulfill our mission accurately and completely. In addition, we anticipate that models of a wider range of applications will reveal critical differences between expected future systems, thus providing guidance for future Office of Science procurement decisions, and will enable DOE applications to exploit machines in future facilities fully.

URLhttp://iopscience.iop.org/1742-6596/180/1/012039
PDFhttp://www.mcs.anl.gov/papers/P1631-revised.pdf