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Table 1: Comparison of topology and applications for the interconnects discussed. An X in an application column indicates that the particular interconnect has signi cant use in the speci ed application area.
1996
"... In PAGE 38: ... However we believe that its dominant use is for clustering and other system-to- system interconnection, and therefore have discussed it in the clustering section. Summary of Interconnects Discussed Table1 summarizes the main points in the foregoing discussion. For each interconnect, we show the topology and the application areas which are discussed in this article.... ..."
Cited by 7
Table 5 shows the results of using the entropy of this dis- tribution to rank topics, and displays the five most and five least diverse topics. From inspection of diversity scores for the full range of topics, it is clear that within our corpus, rel- atively application-oriented sub-fields (e.g. Speech Recog- nition ) typically have lower impact diversity than more the- oretical sub-fields (e.g. Pattern Recognition ). While there may be fewer citations to theoretical topics, theoretical top- ics frequently have broader influence. For a document d the topical diversity can also be defined similarly:
2006
"... In PAGE 7: ...09 Computer Vision (49) 2.95 Table5 : Impact Diffusion and Impact Diversity. Both models give similar results for narrow impact topics (in particular application areas), but for topics with broader impact, Impact Diffusion is essentially identical to the topics with the lowest citation counts.... ..."
Cited by 8
Table 5 shows the results of using the entropy of this dis- tribution to rank topics, and displays the five most and five least diverse topics. From inspection of diversity scores for the full range of topics, it is clear that within our corpus, rel- atively application-oriented sub-fields (e.g. Speech Recog- nition ) typically have lower impact diversity than more the- oretical sub-fields (e.g. Pattern Recognition ). While there may be fewer citations to theoretical topics, theoretical top- ics frequently have broader influence. For a document d the topical diversity can also be defined similarly:
2006
"... In PAGE 7: ...09 Computer Vision (49) 2.95 Table5 : Impact Diffusion and Impact Diversity. Both models give similar results for narrow impact topics (in particular application areas), but for topics with broader impact, Impact Diffusion is essentially identical to the topics with the lowest citation counts.... ..."
Cited by 8
Table 5 shows the results of using the entropy of this dis- tribution to rank topics, and displays the five most and five least diverse topics. From inspection of diversity scores for the full range of topics, it is clear that within our corpus, relatively application-oriented sub-fields (e.g. Speech Recog- nition) typically have lower impact diversity than more the- oretical sub-fields (e.g. Pattern Recognition). While there may be fewer citations to theoretical topics, theoretical top- ics frequently have broader influence. For a document D the topical diversity can also be defined similarly:
"... In PAGE 7: ...57 Simulated Annealing (52) 4.59 Table5 : Impact Diffusion and Impact Diversity. Both models give similar results for narrow impact topics (in particular application areas), but for topics with broader impact, Impact Diffusion is essentially identical to the topics with the lowest citation counts.... ..."
Table 1: Area requirement for each application. Sec- ond column shows area requirement for each context of application in a multi-context device Application 4-context 1-context
2002
"... In PAGE 6: ... Table1 shows the gate equivalent areas obtained from SynplifyTMfor each contexts of the applications implemented in a single context and a four-context device. A device with an equivalent gate count of the highest number will be required for that particular ap- plication.... ..."
Cited by 5
Table 1: Comparison of commercial and research grade Analog to digital convertors. The wideband devices are of particular interest for two reasons: their resolution is sufficient to enable many interesting applications, especially in areas such as RF, where dynamic range is of prime importance; and mainstream digital technologies are crossing the threshold at which they can process their sample streams. Although the sample rates cited for these devices represent a present day snapshot, [1] suggests that the bandwidth converted at these resolutions is increasing relatively slowly. In contrast, the bandwidth that can be converted with lower fidelity is an order of magnitude wider and the absolute rate of their sampled data streams is on a steeper growth curve.
1996
"... In PAGE 2: ... DARPA has announced a research goal of an 8 GHz, 8- bit convertor [3]. Table1 compares the current reseach efforts [4] with what is commercially available. For this discussion, we restrict ourselves to the commercially available convertors, as we will be evaluating them with respect to commercially available processors and... ..."
Cited by 11
Table 12: Parameter values chosen in case study. 6 Case studies Given the relatively large number of implementation options, parameters, and performance met- rics, it is di cult to draw concrete conclusions without looking at particular applications scenarios. In this section we present three application areas (copy detection, web engines, and warehousing), and within those we instantiate particular scenarios (e.g., data size, hardware speeds). For each sce- nario there are parameters we could directly measure, for example, how many Netnews articles need to be indexed each day for copy detection. Other parameters could be measured via experiments. For example, we evaluated S0 by actually implementing the index algorithms and loading data into an index. (The number we obtain is realistic yet speci c to our implementation.) However, other parameters values were \educated guesses, quot; for instance, exactly how many queries to expect each 24
1997
"... In PAGE 25: ...f distribution of tuples, sizes of tables, etc.) prescribed by the TPC-D benchmark. In the following experiments for TPC-D, we report results for the case the indexes are implemented with simple shadowing. In Table12 we report speci c values we used for di erent parameters in our case study. The hardware parameters were chosen based on current technology.... In PAGE 27: ... In Figure 4 we report the transition time to index new data in SCAM (column 2 of Table 4). There are two main factors that in uence transition time: (1) does the scheme use BuildIndex or AddToIndex to add the new data? (2) for each scheme, how many days are reindexed using BuildIndex or incrementally indexed using AddToIndex? For instance, from Table12 we see that if a scheme executes BuildIndex for one day, its transition time (1686 secs) is lower than another... ..."
Cited by 15
Table 4: Industrial HPCC Applications 11 to 13: SIMULATION Application Area Problem Machine
1996
"... In PAGE 3: ... However, these issues will not be discussed here. Table 1 describes the general guidelines used in organizing Table4 . Note that we did not directly cover academic areas, and a more complete list (which included our industrial table) was produced by the Peta ops meeting [Peta:94a].... In PAGE 3: ... Here, \Info quot;, in InfoMall, refers to the information based application focus and \Mall quot; to the use of a virtual corporation (groups of \storeholders quot;) to produce the complex integrated applications enabled by HPCC. The rst column of Table4 contains the area label and some sample applications. There is also a pointer to Section 4, if appropriate.... In PAGE 7: ...Table4 : Industrial HPCC Applications 1 to 5: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 1 Computational PDE, FEM SIMD, MIMD for Sec. Fluid Dynamics Turbulence irregular adaptive 4.... In PAGE 8: ...Table4 : Industrial HPCC Applications 6 to 10: SIMULATION Application Area Problem Machine Item and Examples Comments and Software 6 Environmental Empirical Models Some SIMD but Sec. Phenomenology Monte Carlo and MIMD more 4.... In PAGE 10: ...Table4 : Industrial HPCC Applications 14 to 18: Information Analysis|\DataMining quot; Application Area Problem Machine Item and Examples Comments and Software 14 Seismic and Parallel Computers SIMD useful but Environmental already important MIMD might be Data Analysis but necessary No oil in New HPF York State 15 Image Processing Many commercial Metacomputer Sec. Medical Applications of Low Level 4.... In PAGE 11: ...Table4 : Industrial HPCC Applications 19 to 22 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand (Sec. 4.... In PAGE 12: ...Table4 : Industrial HPCC Applications 23 to 24 for Information Access InfoVision|Information, Video, Imagery and Simulation on Demand (Sec. 4.... In PAGE 13: ...Table4 : Information Integration Applications 25 to 28 These involve combinations of Information Production, Analysis, Access and Dis- semination and thus need the Integration of the various Software and Machines Architecture Issues discussed under previous application areas. Many need collaboration and \computational steering quot; technology correspond- ing to integration of computers, people, and instruments \in the loop.... In PAGE 14: ...Table4 : Information Integration Applications 29 to 33 29: Real-Time Control Systems Robotics uses Imagery to make decisions (control vehicles) Energy management controls power use and generation 30: Electronic Banking Requires Security, Privacy, Authentication, Electronic Cash, etc. 31: Electronic Shopping 32: Agile Manufacturing|Multidisciplinary Design and Concurrent Engineering (Sec.... In PAGE 14: ...3: Education (Sec. 4.5) Many commonalities with Application 25 InfoMall Living Schoolbook|6 Schools on ATM network linked to HPCC InfoVi- sion Servers at NPAC [Mills:95a] This paper is not intended to advocate a particular parallel software environment or lan- guage. Rather, we want to describe the broad capabilities of, and give examples of the parallel programming paradigm needed for the applications of Table4 . We believe that the program- ming functionality needed by a particular application is broadly determined by the problem architecture described in the following section.... In PAGE 21: ... Data parallelism occurs in large data mining sub-applications on servers with links to Java or VRML clients, that just handle visualization and interpretation modules. There were a few examples of metaproblems in our original survey, but a major part of Table4 , from our New York State activity, is the Information Integration classi cation. This class includes manufacturing and the applications 25{33, all examples of metaproblems.... In PAGE 32: ... These include processing sensor data (signal and image processing|Application 15) and simulations of such things as expected weather patterns and chemical plumes. In this way, many of the components (Applications 1 to 12 in Table4 ) are linked as part of this large metaproblem. One also needs large-scale multimedia databases with HPCC issues related to those described for InfoVISiON in Section 4.... ..."
Cited by 6
Table 1 lists the model parameters and their baseline values. Some of the parameter values are chosen based on the values used in previous studies in the area [20,21]. The purpose is to facilitate comparison with results from related works. Note that the main purpose of the simulation study is not to investigate the performance of the proposed method for a particular mobile computing application. Instead, it is to investigate the performance characteristics of the proposed method as compared with other related methods. In the simulation experiments, we vary the parameter over a wide range of values to get a more complete picture on the performance of the proposed method.
2004
"... In PAGE 20: ... Table1 . Model parameters ad their baseline values 5.... ..."
Cited by 3
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