VonNeumann
Latest
American military backs an entirely new kind of processor
Virtually every processor you see is based on the same basic (Von Neumann) computing model: they're designed to access large chunks of sequential data and fill their caches as often as possible. This isn't the quickest way to accomplish every task, however, and the American military wants to explore an entirely different kind of chip. DARPA is spending $80 million to fund the development of the world's first graph analytic processor. The HIVE (Hierarchical Identify Verify Exploit) accesses random, 8-byte data points from the system's global memory, crunching each of those points individually. That's a much faster approach for handling large data, which frequently involves many relationships between info sets. It's also extremely scalable, so you can use as many HIVE chips as you need to accomplish your goals.
Researchers wed quantum processor with quantum memory, quaziness ensues
Quantum computing has a long way to go before becoming truly mainstream, but that certainly hasn't stopped us from indulging in dreams of a qubit-based existence. The latest bit of fantasy fodder comes from the University of California, Santa Barbara, where researchers have become the first to combine a quantum processor with memory mechanisms on a single chip. To do this, Matteo Mariantoni and his team of scientists connected two qubits with a quantum bus and linked each of them to a memory element, capable of storing their current values in the same way that RAM stores data on conventional computers. These qubit-memory links also contained arrays of resonators -- jagged, yet easily controlled circuits that can store values for shorter periods of time. The qubits, meanwhile, were constructed using superconducting circuits, allowing the UCSB team to nestle their qubits even closer together, in accordance with the von Neumann architecture that governs most commercial computers. Once everything was in place, the researchers used their system to run complex algorithms and operations that could be eventually used to decode data encryption. The next step, of course, is to scale up the design, though Mariantoni says that shouldn't be too much of a problem, thanks to his system's resonators -- which, according to him, "represent the future of quantum computing with integrated circuits."
IBM's cognitive computing chip functions like a human brain, heralds our demise (video)
After having created a supercomputer capable of hanging with Jeopardy's finest, IBM has now taken another step toward human-like artificial intelligence, with an experimental chip designed to function like a real brain. Developed as part of a DARPA project called SyNAPSE (Systems of Neuromorphic Adaptive Plastic Scalable Electronics), IBM's so-called "neurosynaptic computing chip" features a silicon core capable of digitally replicating the brain's neurons, synapses and axons. To achieve this, researchers took a dramatic departure from the conventional von Neumann computer architecture, which links internal memory and a processor with a single data channel. This structure allows for data to be transmitted at high, but limited rates, and isn't especially power efficient -- especially for more sophisticated, scaled-up systems. Instead, IBM integrated memory directly within its processors, wedding hardware with software in a design that more closely resembles the brain's cognitive structure. This severely limits data transfer speeds, but allows the system to execute multiple processes in parallel (much like humans do), while minimizing power usage. IBM's two prototypes have already demonstrated the ability to navigate, recognize patterns and classify objects, though the long-term goal is to create a smaller, low-power chip that can analyze more complex data and, yes, learn. Scurry past the break for some videos from IBM's researchers, along with the full press release.
