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MPSoCs often require large amounts of memory.
High-performance data processing systems typically utilize numerous servers with large amounts of memory.
These methods are robust and exhibit good performance, but often require large amounts of memory and have limited scalability.
The tool is best run on limited size arrays (less than about 512x512), otherwise it requires large amounts of memory and CPU times can become excessive.
But even with the large amounts of memory available with today's computers, storing — or even computing — information for every possible scenario would be implausible.
Advances in microprocessor-manufacturing techniques are also making it possible to put processors and large amounts of memory on the same chip, shortening the distance that instructions and data must travel.
Similar(41)
On the other hand, it does require a relatively large amount of memory.
Although parallel systems are used, global coefficient matrices require a large amount of memory.
Of course, a database of 40-by-40 40-by-40 40-by-40s up a large amount of memory — several hundred megabytes, Wang says.
However this technique requires a large amount of memory for storing the shapes of charge and current signals.
However, the search speed and the distortion performance often conflict with each other in these methods, and their high computational complexity incurs a large amount of memory access.
More suggestions(15)
large volume of memory
large amounts of leverage
large amounts of water
large amounts of radioactivity
large amounts of capital
large numbers of memory
large amounts of precipitation
large blocks of memory
large amounts of debt
large amounts of rain
large amounts of money
large amounts of silver
large amounts of sap
large amounts of arak
large amounts of sugar
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