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Table 2: Performance of Special-purpose and General-purpose Systems
"... In PAGE 13: ... Since the basic architecture of these systems is systolic in nature, we have devised a performance measure that is based on the number of million cell operations per second (MCOPS), where a cell is de ned as a PE in a hardware implementation or the equivalent block of instructions (basic inner loop) in a software implementation. Based on this measure, Table2 shows the performance of several general-purpose and special-purpose systems. The BioSCAN system, operating at clock rate of 32 MHz, performs a cell operation in each PE every 16 clock cycles for a theoretical processing rate of 2 MHz.... ..."
Table 2: Performance of Special-purpose amp; General-purpose Systems
1993
"... In PAGE 15: ... Since the basic architecture of these systems is systolic in nature, we have devised a performance measure that is based on the number of million cell operations per second (MCOPS), where a cell is defined as a PE in a hardware implementation or the equivalent block of instructions (basic inner loop) in a software implementation. Based on this measure, Table2 shows the performance of several general-purpose and special-purpose systems. The BioSCAN system, operating at clock rate of 32 MHz, performs a cell operation in each PE every 16 clock cycles for a theoretical processing rate of 2 MHz.... In PAGE 16: ...Table 2: Performance of Special-purpose amp; General-purpose Systems Based on the performance numbers of the Table2 , the BioSCAN system (with estimated cost of $7,000 per board in quantities of 50), offers a competitive price-performance advantage over general-purpose as well as other special-purpose systems.... ..."
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Table D.5. General Purpose System Load Average Time Series Model E ectiveness Analysis
1992
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Table D.8. General Purpose System User Count Time Series Model E ectiveness Analysis
1992
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TABLE III SUMMARY OF GENERAL-PURPOSE HARDWARE COMPILERS. System Approach Source Target Target Example
2005
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Table 2: Performance of the general-purpose and the name-specific text analysis systems on training and
1997
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Table 1.1: Examples of translations of mail-order catalogue texts by two commercial general-purpose machine translation systems.
in Supervisor
Table 2: Performance of the general-purpose and the name-speci c text analysis systems on training and test data sets.
1997
"... In PAGE 6: ... Thus, we made a binary decision between correct and incorrect transcriptions. Table2 summarizes the results. On the training data, in 250 out of a total of 631 names (39.... In PAGE 7: ...usted in such a way that for any token, i.e., word or word form, in the input text an immediate match in the lexicon is always favored over name analysis which in turn is prefered to unknown word analysis. Even though the evaluation experiments reported on in this paper were performed on names in isolation rather than in sentential contexts, the error rates for name pronunciation as obtained in these exper- iments ( Table2 ) correspond to the performance on names by the integrated text analysis component for arbitrary text. There are two ways of interpreting the results.... ..."
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Table 2: Performance of the general-purpose and the name-speci c text analysis systems on training and test data sets.
1997
"... In PAGE 6: ... Thus, we made a binary decision between correct and incorrect transcriptions. Table2 summarizes the results. On the training data, in 250 out of a total of 631 names (39.... In PAGE 7: ...n such a way that for any token, i.e., word or word form, in the input text an immediate match in the lexicon is always favored over name analysis which in turn is prefered to unknown word analysis. Even though the evaluation experiments reported in this paper were performed on names in isolation rather than in sentential contexts, the error rates obtained in these experiments ( Table2 ) correspond to the per- formance on names by the integrated text analysis component for arbitrary text. There are two ways of interpreting the results.... ..."
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