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posted by CoolHand on Thursday June 04 2015, @02:18AM   Printer-friendly
from the nano-nano dept.

Nantero, the company that invented carbon nanotube-based non-volatile memory in 2001 and has been developing it since, has announced that seven chip fabrication plants are now manufacturing its Nano-RAM (NRAM) wafers and test chips in preparation for mass production, which requires the product designs to be completed. The company has announced that aerospace giant Lockheed Martin and Schlumberger Ltd., the world's largest gas and oil exploration and drilling company, will be customers seeking to use its chip technology. The memory, which can withstand 300 °C temperatures for years without losing data, is natively thousands of times faster than NAND flash and has virtually infinite read/write resilience. Nantero plans on licensing its intellectual property to allow others to create gum stick SSDs using DDR4 interfaces. NRAM has the potential to create memory that is vastly more dense that NAND flash, as its transistors can shrink to below 5 nanometers in size, three times more dense than today's densest NAND flash. At the same time, NRAM is up against a robust field of new memory technologies that are expected to challenge NAND flash in speed, endurance and capacity, such as Phase-Change Memory and Ferroelectric RAM (FRAM).

You may want to take a look at Memristors too.


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  • (Score: 0) by Anonymous Coward on Thursday June 04 2015, @03:25PM

    by Anonymous Coward on Thursday June 04 2015, @03:25PM (#192108)

    It seems to me there is something fundamentally wrong with the way we do those simulations. In nature you just set up the system and have certain laws and there you go. No supercomputer required (unless we do live in a simulation..but assume not for this case). It could be related to the possibility time is continuous while the simulations increment in discrete steps.

  • (Score: 2) by maxwell demon on Thursday June 04 2015, @03:45PM

    by maxwell demon (1608) on Thursday June 04 2015, @03:45PM (#192124) Journal
    • For quantum systems (think protein folding), the main issue is that we don't have quantum computers. It is known that simulating quantum systems on classical computers is extremely inefficient.
    • For climate simulations, notice that for an accurate "natural climate simulation" you would need a complete planet, and let it "run" for centuries. So our supercomputers actually beat nature here in terms of speed.
    --
    The Tao of math: The numbers you can count are not the real numbers.