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Tracy D. Braun
Researcher at Purdue University
Publications - 20
Citations - 2722
Tracy D. Braun is an academic researcher from Purdue University. The author has contributed to research in topics: Symmetric multiprocessor system & Heuristics. The author has an hindex of 14, co-authored 20 publications receiving 2637 citations. Previous affiliations of Tracy D. Braun include University of Maryland, College Park & Colorado State University.
Papers
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Journal ArticleDOI
A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
Tracy D. Braun,Howard Jay Siegel,N.B. Beck,Ladislau Bölöni,Muthucumaru Maheswaran,Albert Reuther,James Patrick Robertson,Mitchell D. Theys,Bin Yao,Debra Hensgen,Richard F. Freund +10 more
TL;DR: It is shown that for the cases studied here, the relatively simple Min?min heuristic performs well in comparison to the other techniques, and one even basis for comparison and insights into circumstances where one technique will out-perform another.
Proceedings ArticleDOI
A comparison study of static mapping heuristics for a class of meta-tasks on heterogeneous computing systems
Tracy D. Braun,H.J. Siegal,N.B. Beck,Ladislau Bölöni,Muthucumaru Maheswaran,Albert Reuther,J.P. Robertson,Mitchell D. Theys,Bin Yao,Debra Hensgen,Richard F. Freund +10 more
TL;DR: A collection of eleven heuristics from the literature has been selected, implemented, and analyzed under one set of common assumptions and provides one even basis for comparison and insights into circumstances where one technique will outperform another.
Journal ArticleDOI
Dynamically mapping tasks with priorities and multiple deadlines in a heterogeneous environment
Jong-Kook Kim,S. Shivle,Howard Jay Siegel,Anthony A. Maciejewski,Tracy D. Braun,Myron Schneider,Sonja Tideman,Ramakrishna Chitta,Raheleh B. Dilmaghani,Rohit Joshi,Aditya Kaul,Ashish Sharma,Siddhartha Sripada,Praveen Vangari,Siva Yellampalli +14 more
TL;DR: This research proposes, evaluates, and compares eight dynamic mapping heuristics and two static mapping schemes (all arrival information of tasks are known) designed also for comparison.
Proceedings ArticleDOI
A taxonomy for describing matching and scheduling heuristics for mixed-machine heterogeneous computing systems
Tracy D. Braun,Howard Jay Siegel,N.B. Beck,Ladislau Bölöni,Muthucumaru Maheswaran,Albert Reuther,James Patrick Robertson,Mitchell D. Theys,Bin Yao +8 more
TL;DR: A new taxonomy for classifying mapping heuristics for HC environments is proposed (Purdue HC Taxonomy), defined in three major parts: the models used for applications and communication requests; the models use for target hardware platforms; and the characteristics of mappingHeuristics.
Reference EntryDOI
Heterogeneous Distributed Computing
TL;DR: The sections in this article are examples of HC Application Studies, PVM and HeNCE, Taxonomies of Heterogeneous Computing, Matching and Scheduling, and Future Directions.