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Table 2 - Application Performance
in Abstract
"... In PAGE 93: ...Obviously,the user can chose to degrade performance by controllingthe program; however, this option remains with the user. As illustratedin Table2 , the application apos;sperformance degradation due to the additionof Progress is minimal when compared to other common debugging and profilingtechniques.The steeringsystem did not interactwith the applicationduring the test.... In PAGE 93: ...rofilingtechniques.The steeringsystem did not interactwith the applicationduring the test.These testsdid varied proportionallywith longerexecutiontimes and they did not vary considerablyfrom architectureto architecture(KSR, SGI, Sparc).The measurements in Table2 were gathered on an SGI 8-node multiprocessor with the standard SGI compilerand multiprocessorlibrary.... ..."
TABLE I APPLICATION PERFORMANCE
Table 5. Real Application Performance
"... In PAGE 7: ... For SVC, we used a 16-bit RGB pixel format rather than the 24-bit RGB format we used for the other applications. Table5 shows the sustained performance, total rendering resolution, and the number of rendering nodes used by these applications in this experiment. We set the transfer rate upper bound of MagicCarpet and Bitplayer to 0.... ..."
Table 5. Real Application Performance
"... In PAGE 7: ... For SVC, we used a 16-bit RGB pixel format rather than the 24-bit RGB format we used for the other applications. Table5 shows the sustained performance, total rendering resolution, and the number of rendering nodes used by these applications in this experiment. We set the transfer rate upper bound of MagicCarpet and Bitplayer to 0.... ..."
Table 1. VTSplash application performance
1996
Cited by 4
Table 2. STAP Application Performance
"... In PAGE 3: ... Thus if the same resources were applied to this research architecture, we would expect much higher clock rates and densities to be achieved. Table2 summarizes the results achieved for each kernel of the Knowledge Aided Pre- Whitening algorithm. 1 10 100 1000 1248163264128 Packet Size (in Words) C y cl es p e r O u t p ut W o r d SVM Library Optimized Raw Implementation Lower bound... ..."
Table 3. Hyper-spectral application performances
in Hyper-spectral Image Processing Applications on the SIMD Pixel Processor for the Digital Battlefield
"... In PAGE 7: ...0 Performance results The applications described in the previous sections have been developed and simulated on the SIMPil Simulator [24]. Table3 summarizes performances for all the implemented applications. The target system, described in Table 2 with 4096 PEs, was used for the simulations.... ..."
Table 8: Application Performance on 64 processors
1994
"... In PAGE 19: ...Table8 shows that eager combining signi cantly improves the performance of all the applications on the low-bandwidth machine with 64 processors. The running time of Gaussian elimination, all- pairs, and simulated annealing is improved by a factor of 2-3.... ..."
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