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Table 1 shows the times in seconds, number of samples, and speedups obtained for this application using the EcliPSe system, in each of the six environments described above. This experiment, one of many we have conducted [16], demonstrates the extremely attractive speedups attainable by simple strategies for concurrent stochastic simulation. Even for applications that exhibit signi cant load imbalance, e ciencies of 80% and above could be achieved, thus indicating the viability, e ectiveness, and e ciency of our approach. 3 Polymer Chains and Scale-Invariant Phenomena The particular problem studied in this work is one in which some fundamental aspects of the statistical mechanics of polymer solutions [4] are investigated. An especially delicate and controversial problem in this area is that of the conformational properties of polymer chains in disordered media. The question is: how is the conformation of a macromolecule in 8

in On the Effectiveness of Superconcurrent Computations on Heterogeneous Networks
by Hisao Nakanishi, Vernon Rego, Vaidy Sunderam 1995
"... In PAGE 9: ...15 27.18 Table1 : Times and Speedups for Integral estimation... ..."
Cited by 3

Table 1. Summary of representative scheduling research in Grid environments. The papers are named after the first authors and the years of publication.

in Model-Driven Simulation of Grid Scheduling Strategies
by Hui Li, Rajkumar Buyya
"... In PAGE 2: ... In this section we review some of the current research in Grid scheduling, with a special emphasis on the mentioned two issues. Table1 shows a summary of representative scheduling studies in Grid environments. Since the clusters/resources participating in a Grid typically have their own local activ- ities, the workloads are further categorized into Grid-level jobs (Grid workload) and locally generated jobs (background workload).... In PAGE 3: ...The main focus of this paper is on the workload traces. Although far from an exhaustive list of Grid scheduling liter- ature, we can see that a large number of research work such as the ones shown in Table1 either use traces not typically from real production Grids, or use simple workload models (Poisson, fixed-interval arrivals, or Gaussian system load). These traces or models, however, exhibit significantly differ- ent characteristics than the traces on production Grids.... ..."

Table 4 Fraction of the GOLOG program for the Internet tour-guide robot proc internet-tourguide while (9 exhibit) request(exhibit) ^ next(exhibit) do ( exhibit).goto(exhibit); explain(exhibit) endWhile

in Experiences with an interactive museum tour-guide robot
by Wolfram Burgard , Armin B. Cremers , Dieter Fox , Dirk Hähnel , Sebastian Thrun, et al. 1998
"... In PAGE 28: ... The key benefit of GOLOG is that it facilitates designing high-level controllers by seamlessly integrating programming and problem solving [95,96]. Table4 depicts an example GOLOG program for scheduling requests by Internet users. It basically specifies that the robot shall serve all pending requests by moving to the correspondingposition and explaining it, and return to its homing... ..."

Table 1 summarizes simulation results for the exhibition scenario.

in Interoperability of Multicast Routing Protocols in Wireless Ad-Hoc Networks
by Kumar Viswanath, Katia Obraczka 2004
"... In PAGE 16: ... Table1 : Exhibition Scenario Similar to the results from our prior experiments the ooding based approach had a slightly higher packet delivery ratio as compared to facilitator assisted interoperability mechanism. How- ever, the control overhead was about 60% higher compared to the facilitator based approach.... ..."

Table 1: Properties that Software Agents can Exhibit

in Software Agents in Communications Network Management: An Overview
by Alex L.G. Hayzelden, John Bigham 1998
Cited by 2

TABLE 2a Kernels exhibiting coupling

in Performance Coupling: Case Studies for Improving the Performance of Scientific Applications
by Jonathan Geisler, Valerie Taylor 2002
Cited by 2

TABLE 2b Kernels not exhibiting coupling

in Performance Coupling: Case Studies for Improving the Performance of Scientific Applications
by Jonathan Geisler, Valerie Taylor 2002
Cited by 2

Table 2: Typical visitor experience in Ada exhibit

in Ada
by Kynan Eng, Andreas Bäbler, Ulysses Bernardet, Mark Blanchard, Marcio Costa, Rodney J Douglas, David Klein, Jonatas Manzolli, Matti Mintz, Fabian Roth, Ueli Rutishauser, Klaus Wassermann, Adrian M Whatley, Aaron Wittmann, Paul F M J Verschure
"... In PAGE 4: ... This was necessary both for safety reasons and to ensure that each visitor had a certain minimum amount of space with which to interact with Ada. Table2 summarises a typical visitor experience in the space and Figure 2 shows a typical scene in the main space. During normal operation, the main space received about 25 visitors at a time, giving a nominal capacity of about 300 visitors per hour and an instantaneous occupancy of 125 visitors at any one time.... ..."

Table 2: Data exhibiting anomalous behavior

in Anomalies in Parallel Branch-and-Bound Algorithms
by Ten-hwang Lai, Sartaj Sahni
"... In PAGE 14: ...-- 14 Figure 7 I(p), I(1)/I(p), and I(p)/I(2p) for these six instances is given in Table2 . It is striking to note the instance for which I(1)/I(2) = 14.... ..."

Table 3 exhibits the improvement obtained using

in Choosing A Distance Metric For Automatic Word Categorization
by Erkan Korkmaz, Gokturk Ucoluk, Emin Erkan, Korkmaz Gktiirk U~ Oluk
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