HP is planning to have working prototype of The Machine [memristor memory and logic and onchip optical networking] should be ready by 2016. HP wants researchers and programmers to get familiar with how it will work well before then. They aim to complete an operating system designed for The Machine, called Linux++, in June 2015. Software that emulates the hardware design of The Machine and other tools will be released so that programmers can test their code against the new operating system. Linux++ is intended to ultimately be replaced by an operating system designed from scratch for The Machine, which HP calls Carbon.
The main difference between The Machine and conventional computers is that HP’s design will use a single kind of memory for both temporary and long-term data storage. Existing computers store their operating systems, programs, and files on either a hard disk drive or a flash drive. To run a program or load a document, data must be retrieved from the hard drive and loaded into a form of memory, called RAM, that is much faster but can’t store data very densely or keep hold of it when the power is turned off.
HP plans to use a single kind of memory—in the form of memristors—for both long- and short-term data storage in The Machine. Not having to move data back and forth should deliver major power and time savings. Memristor memory also can retain data when powered off, should be faster than RAM, and promises to store more data than comparably sized hard drives today.
HP’s simulations suggest that a server built to The Machine’s blueprint could be six times more powerful than an equivalent conventional design, while using just 1.25 percent of the energy and being around 10 percent the size.
The first working memristor chips won’t be sent to HP partners until 2016 at the earliest.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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