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Table 13: Data for ATUM Traces on 128K Caches [6] Norman P. Jouppi, \Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Bu ers, quot; in Proceedings of the 17th Annual International Symposium on Computer Architecture, Seattle, Washington, pp. 364{373, IEEE Computer Society and ACM SIGARCH, May 28{31, 1990. Computer Architecture News, 18(2), June 1990. [7] S. Przybylski, M. Horowitz, and J. Hennessy, \Performance Tradeo s in Cache Design, quot; in Proceedings of the 15th Annual International Symposium on Computer Architecture, Honolulu, Hawaii, pp. 290{298, IEEE Computer Society and ACM SIGARCH, May 30{ June 2, 1988. Computer Architecture News, 16(2), May 1988. 36
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Table 2. The Modification for Correcting c5,i, i =26, 27, 29, 32
2005
"... In PAGE 9: ... Utilize more precise modification to correct some other conditions. For ex- ample, we can use the internal collision in Table2 in which there are three message words are changed to correct c5,i, i =26, 27, 29, 32. The precise modification should add some extra conditions in the first rounds (see Ta- ble 2) in advance.... ..."
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TABLE 4. ADDITIONAL CUP BURNER EXTINGUISHMENT CONCENTRATIONS
Table 5: Test pattern generation IDDQ statistics (standard cell) VLSI. In Proceedings of International Test Conference, pages 938{947. IEEE, 1990. [SM90] Thomas Storey and Wojciech Maly. CMOS bridging fault detection. In Proceedings of International Test Conference, pages 842{ 851. IEEE, 1990.
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"... In PAGE 6: ... Possible solutions are to em- ploy IDDQ testing [Ack83], apply more accurate circuit simulation of faults, detect the bridge as a delay fault, or redesign the cells so that a discrepancy is guaran- teed for at least one input combination for each cell. In Table5 we show the results of our system generating IDDQ test patterns for same set of bridging faults that produced the results in Table 4. We also plan on integrating the testing for breaks on the interconnection lines, and the testing for defects within the cells to Carafe and Nemesis.... ..."
Cited by 41
Table 12: Data for ATUM Traces on 32K Caches [3] J. H. Chang, H. Chao, and K. So, \Cache Design of A Sub-Micron CMOS System/370, quot; in Proceedings of the 14th Annual International Symposium on Computer Architecture, Pittsburgh, Pennsylvania, pp. 208{213, IEEE Computer Society and ACM SIGARCH, June 2{5, 1987. Computer Architecture News, 15(2), June 1987. [4] John L. Hennessy and David A. Patterson, Computer Architecture: A Quantitative Ap- proach. Morgan Kaufmann Publishers, Inc., 1990. [5] Mark D. Hill, \A Case for Direct-Mapped Caches, quot; Computer, 21(12):25{40, December 1988.
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Table 4 shows the 10 international conferences in our research area that either belong to the Congresos Notables UPC list and their associated EIC. In addition, the table also shows the number of publications in these conferences generated by researchers in this project. The papers published in international conferences in the 2005-06 period are listed below:
"... In PAGE 10: ...74 ICPP: International Conference on Parallel Processing 3 0.61 PLDI: ACM Conference on Programming Language Design and Implementation 2 Na ICCD: IEEE International Conference of Computer Design 1 Na Table4 : Contributions to the most relevant international conferences in our research area. ... ..."
Table 5. Ground-water gradients between wells in the shallow and lower aquifers, Evendale and Reading, Ohio, November 27-29, 2000
Tabletop groupware, Interaction Techniques, Computer Supported Cooperative Work, Coordination, Interference.
Table 7. Forecast of the state of the Keava study area in the year 2013-2014 on the basis of different transition matrices (I, I1 and 111).
"... In PAGE 11: ... We estimated the reliability of the predictions (and the transition matrix model in general) by con- structing the future states proceeding from differ- ent transition matrices and initial states of the same study area. The Keava study area was taken as an example and three different forecasts were made based on: I) the matrix of the 31 year period, KN5 182 and KA5 182; 11) the matrix of the short (16 year) period, KN6682 and KA6682, and 111) the averaged matrix, KN5166 + KN6682 and KA5166 + KA6682 (see Table7 ). As we can see, the dis- crepancies between different predictions are on the level of 1% (with respect to the total study area), whereas the changes themselves reach 1.... ..."
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