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<p><font size="3" color="#6B492D">Keep you home warmer this winter with new
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<strong> Enjoy the many benefits of new home
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add extra hardware for parallel computing.Optimally, the
speed-up from parallelization would be linear—doubling the number of
processing elements should halve the runtime, and doubling it a second
time should again halve the runtime. However, very few parallel
algorithms <img src="http://www.glassz-deal.eu/1c857d928e4499da607a1014de13_f3e77953-010103040001/V/"/>achieve optimal speed-up.
T57C021U2IMost of them have a near-linear speed-up for small numbers of
processing elements, which flattens out into a constant value for large
numbers of processing elements.The potential speed-up ofT57C021U2I
an algorithm on a parallel computing platform is given by
Amdahlcancellation of its Tejas and Jayhawk processors, which
is generally cited as the end of frequency scaling as theT57C021U2I dominant
computerT57C021U2I architecture paradigm.Moore's Law is the
empirical observation that transistT57C021U2Ior density in a
microprocessor doubles every 18 to 24 months.[10] Despite power
consumption issues, and repeated predictionT57C021U2Is of its end, Moore's law
is still in effect. With the end of frequency scaling, these
additional transistors (which are no longer used for frequency <img
src="http://www.glassz-deal.eu/1c857d928e4499da607a1014de13_f3e77953-010103040001/V/"/>scaling) can be used to -->
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