Sentence examples for low cost of memory from inspiring English sources

High speed computers and low cost of memory has helped in simulating large-scale models in a relatively shorter time frame.

We have evaluated our solution with three stream processing applications and results show that our model can adapt the graph topology when receiving events at high rate with sudden peaks, producing very low costs of memory and CPU usage.

Because of the physical properties and the relatively low cost of strain memory alloys it is actually possible to manufacture complete components from this family of materials, and the materials can be tailored in terms of physical as well as transformation properties using alloying chemistry and prior deformation of austenite in the ausforming temperature range.

All the results collectively indicate that the thermally, dimensionally and chemically stable PIs of this study are a promising material for the mass production at low cost of high performance, programmable nonvolatile WORM memory devices that can be operated with low power consumption in unipolar switching mode.

It is well known that the extragradient projection method is an efficient solution method for variational inequalities due to its low memory and low cost of computing [29, 30].

Copper-based shape memory alloys are preferred for their good memory properties and low cost of production.

One is the low cost of carbon.

And all at the low, low cost of only $250 billion.

The reasons for this include: (1) the increased cost and inadequacy of experimentation for design and interpretation purposes; (2) the availability of low cost, large memory, and fast personal computers; and (3) the general availability of general purpose Monte Carlo codes that are increasingly user-friendly, efficient, and accurate.

Without additional service latency, our scheme reduces not only the cost of memory construction but also the service latency for NDN under low throughput situations.

With the advent of the low-cost and very high performance digital processors and the reduction of the cost of memory chips it is clear that the techniques and application areas of soft computing will continue to expand.