PCMOS Microchip Puts Errors To Good Use
Dubbed PCMOS (for probabilistic CMOS), this technology has been used in a microchip that requires 30 times less electricity while running seven times faster than today's best technology. The crew unveiled their findings at the International Solid-State Circuits Conference in San Francisco, and while it may be tough to fathom, it's the "probabilistic logic" that enables it to operate with drastically less power. Better still, PCMOS piggybacks on the "complementary metal-oxide semiconductor" technology, or CMOS, that chipmakers already use, which means that said chipmakers won't have to buy new equipment to support PCMOS. As you can imagine, that's about where the similarities end, as PCMOS ditches the traditional usage of Boolean logic and replaces it with a radical probabilistic approach that was conceived by Rice University Professor Krishna Palem (pictured) and his doctoral student, Lakshmi Chakrapani.
According to Shekhar Borkar, an Intel Fellow and director of Intel's Microprocessor Technology Lab: "A significant achievement here is the validation of Rice's probabilistic analogue to Boolean logic using PCMOS. Coupled with the significant energy and speed advantages that PCMOS offers, this logic will prove extremely important because basic physics dictates that future transistor-based logic will need probabilistic methods."
You see, existing silicon transistors become increasingly noisy as they decrease in size, forcing engineers to deal by boosting the operating voltage to overpower the noise and ensure accurate calculations. Clearly, the more the voltage is boosted, the more power will be wasted in operation. Palem has stated that "PCMOS is fundamentally different," in that it "lowers the voltage dramatically and deals with the resulting computational errors by embracing the errors and uncertainties through probabilistic logic."
As for the future? The Rice-NTU team is hoping to follow-up its proof-of-concept work on encryption with proof-of-concept tests on microchips for cell phones, graphics cards and medical implants. For example, in a streaming video application on a mobile phone, the small display -- combined with the human brain's ability to process less-than-perfect pictures -- "results in a case where the picture looks just as good with a calculation that's only approximately correct."
Palem, who directs Rice's Value of Information-based Sustainable Embedded Nanocomputing Center, sums up the purpose nicely with this: "Our goal is green computing. We're looking for applications where PCMOS can deliver as well as or better than existing technology but with a fraction of the energy." So, who said imperfections weren't beneficial in computing?