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TABLE II. Checkpoints in General-Purpose Systems

in OPTIMIZATION CRITERIA FOR CHECKPOINT PLACEMENT
by Edgar H. Sibley, C. M. Krishna, Kang G. Shin, Yann-hang Lee

Table 2: Performance of Special-purpose and General-purpose Systems

in BioSCAN: A Dynamically Reconfigurable Systolic Array for Biosequence Analysis
by R. K. Singh, W. D. Dettloff, V. L. Chi, D. L. Hoffman, S. G. Tell, C. T. White, S. F. Altschul, B. W. Erickson
"... 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

in A Scalable Systolic Multiprocessor System for Analysis of Biological Sequences
by Raj K. Singh, Stephen G. Tell, C. Thomas White, Doug Hoffman, Vernon L. Chi, Bruce W. Erickson 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.... ..."
Cited by 14

Table D.5. General Purpose System Load Average Time Series Model E ectiveness Analysis

in System Performance Advisor: An Expert System For Unix System Performance Management
by Peter J. Hoogenboom 1992
Cited by 1

Table D.8. General Purpose System User Count Time Series Model E ectiveness Analysis

in System Performance Advisor: An Expert System For Unix System Performance Management
by Peter J. Hoogenboom 1992
Cited by 1

TABLE III SUMMARY OF GENERAL-PURPOSE HARDWARE COMPILERS. System Approach Source Target Target Example

in unknown title
by unknown authors 2005
Cited by 9

Table 2: Performance of the general-purpose and the name-specific text analysis systems on training and

in Name pronunciation in German text-to-speech synthesis
by Stefanie Jannedy, Bernd Möbius 1997
Cited by 6

Table 1.1: Examples of translations of mail-order catalogue texts by two commercial general-purpose machine translation systems.

in Supervisor
by Aarno Lehtola, Supervisor Prof, Timo Honkela, Instructor Prof, Aarno Lehtola, Professorship Professorship Code, Professor Timo Honkela

Table 2: Performance of the general-purpose and the name-speci c text analysis systems on training and test data sets.

in Name pronunciation in German text-to-speech synthesis
by Stefanie Jannedy, Bernd Möbius 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.... ..."
Cited by 6

Table 2: Performance of the general-purpose and the name-speci c text analysis systems on training and test data sets.

in Name pronunciation in German text-to-speech synthesis
by Stefanie Jannedy, Bernd Möbius 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.... ..."
Cited by 6
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