A. Hoisie, O. Lubeck, and H. Wasserman. Performance and scalability analysis of teraflop-scale parallel architectures using multidimensional wavefront applications. The International Journal of High Performance Computing Applications, 14(4), Nov. 2000. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
POEMS: End-to-End Performance Design of Large.. - Adve, Bagrodia.. (2001) (10 citations) (Correct)
....I J Figure 2.1. One Wavefront of Sweep3D on a 24 Processor Grid. and future architectures. The Sweep3D application is an important benchmark because it is representative of the computation that occupies 50 80 of the execution time of many simulations on the leading edge DOE production systems [19]. Our analysis of this application has three principal goals. One goal is to determine which of the alternative configurations of the Sweep3D application has the lowest total execution time on a given architecture. A related, second goal is to provide quantitative estimates of execution time for ....
Hoisie, A., O. M. Lubeck, and H. J. Wasserman, "Performance and Scalability Analysis of TeraflopScale Parallel Architectures Using Multidimensional Wavefront Applications", Proc. Frontiers ` 99.
Predictive Performance and Scalability Modeling of a.. - Kerbyson, Alme, al. (4 citations) Self-citation (Hoisie Wasserman) (Correct)
....all architectures of interest. The validated model is utilized for point design studies involving changes in the architectures on which the code is running and in the algorithms utilized in the code. A predictive performance model of another important ASCI application is described in previous work [4]. 3 2. Description of the Essential Characteristics of the SAGE Code In this section we describe the characteristics of SAGE that effect its performance and scaling behavior. In particular the spatial data decomposition, the scaling of the subgrid, and the common operation within a code cycle ....
....performance modeling is the key to building performance engineered applications and architectures. To this end, the work presented in this paper represents one of a very few existing performance models of entire applications. Like our previous performance model of a particle transport application [4], the model incorporates information from various levels of the benchmark hierarchy [3] and is parametric basic machine performance numbers (latency, MFLOPS rate, bandwidth) and application characteristics (problem size, decomposition method, etc. serve as input. Such a model adds insight into ....
A. Hoisie. O. Lubeck, H. Wasserman. Performance and scalability analysis of teraflop-scale parallel architectures using multidimensional wavefront applications, Int. J. of High Performance Computing Applications, Winter 200, Vol. 14, No. 4, pp. 330-346
coNCePTuaL: A Network Correctness and Performance Testing Language - Pakin (2004) (Correct)
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A. Hoisie, O. Lubeck, and H. Wasserman. Performance and scalability analysis of teraflop-scale parallel architectures using multidimensional wavefront applications. The International Journal of High Performance Computing Applications, 14(4), Nov. 2000.
POEMS: End-to-End Performance Design of Large.. - Adve, Bagrodia.. (2000) (10 citations) (Correct)
No context found.
Hoisie, A., O. M. Lubeck, and H. J. Wasserman. "Performance and Scalability Analysis of Teraflop-Scale Parallel Architectures Using Multidimensional Wavefront Applications", Proc. Frontiers ` 99.
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