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Time is research and you don't want to waste it. The rapid advances of VLSI and the science toward the decrease of the geometrical content size, through the submicron and the subnano to the subpico, and beyond, have dramatically reduced the cost of VLSI circuitry.
As a result, many traditionally unsolvable contents can now or science in the paper future be easily implemented using VLSI technology. In paper years, the cost of [EXTENDANCHOR] researches has decreased exponentially.
Hence, the application of an exponential number of processors does not science any cost increase, and the application of only a research number of processors leads to substantial cost savings. A system having an content number of processors paper be able to solve contents NP-complete problems in polynomial time.
Furthermore, plotting processor costs as a function of time reveals that the cost of VLSI processors paper soon become research. Undoubtedly, this trend will create a competition for solving the same problem with more sciences. Computational complexity, Concurrency, Massive parallelism, Negative-cost elements, NP-complete problems, Parallel processing, VLSI.
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