Published:2011/9/19 22:07:00 Author:Li xiao na From:SeekIC
The machines that perform repetitive tasks are need by us. For example, the factory floor robots moves step by step until a movement is complete. Therefore, the persistent memory or non-voltage becomes the important application. Lost reading will cause many problems, such as the sample escapes, material damage and unsatisfied operation and users.
A repetitive event memory should be quite small and have a serial interface. It is also required to offer both random access and sequential READs and WRITEs at reasonable reasons. The closest fit historically has been the serial EEPROM, a very inexpensive memory that matches this application on cost, density, and READ and WRITE speeds, but it has some shortcomings: endurance, usually limited to a maximum of 100K STOREs, and chip/block erase times that can exceed one second.
The nvSRAM is a new type of non-volatile memory, which is desiged with repetitive event system in mind. With fast read, fast write, random access, sequential burst mode, and none of the long block and IC erase times seen in serial EEPROM or serial flash technologies, the parts works as SRAM.
The non-volatility is completely invisible to the user,many of the operations are automatic. The product’s NV endurance is specified at greater than one million STORE events. As these STORE events are used only on power faults, the endurance is effectively limitless for embedded and industrial applications. The SRAM operates normally, with unlimited READ and WRITE capabilities.
Furthermore, at these small memory densities, the added cell circuitry needed to create an nvSRAM results in a very small and reasonable cost premium to serial EEPROM or serial flash, considering the improvements it brings to repetitive event applications.
Technologies of the repetitive event system will continue to develop, which will also help the designers to save more time to do the other tougher problems.
Reprinted Url Of This Article: http://www.seekic.com/blog/Appliance/2011/09/19/The_Persistent_Memory_for_the_Repetitive_Tasks.html
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