Academics and software engineers from the universities of Edinburgh, Manchester, and Southampton have established the Software Sustainability Institute (SSI), which will partner with about 30 to 40 research communities across the United Kingdom to develop ways to keep their software current and to help them develop it to meet new requirements. SSI will optimize strategies for sustaining software and provide communities with best practices for improving it for future users. “The issue at the moment is that there are no coordinated ways of sustaining important research software once it comes to the end of its funding,” says SSI director Neil Chue Hong. “The creation of the SSI will ensure that important software is sustained so that it can continue to contribute towards high quality research.”
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Flying pixels have the potential to offer a more immersive three-dimensional (3D) viewing experience than 3D television sets, according to engineers at the Massachusetts Institute of Technology (MIT). The engineers describe their unique 3D display, called Flyfire, as a flock of tiny aircraft carrying multicolored light-emitting diodes (LEDs). The pixels can hover in front of a viewer and form an image, but they also can change their position to add greater depth to the image. “It’s a 3D display with a dual aspect–it can show an image like a traditional display, but then those pixels can move and transform into another shape,” says MIT’s E. Roon Kang. The initial proof-of-principle experiments used quad-rotor helicopters more than 10 centimeters across, and the precise control of their altitude was within three centimeters. Kang says it could take at least five years to make a display with 1,000 or more of the small flying pixels. MIT’s Emilio Frazzoli says onboard controls and a central control system also will be needed to coordinate pixel movement.
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Nagoya University researchers have developed a light-activated switch to turn nanomachines on and off. The team used tiny triggered tweezers made of DNA to open and close in response to ultraviolet (UV) and visible light. “We are designing DNA nano-robotics that are mechanically operated by light rather than chemical fuel,” says Nagoya researcher Hiroyuki Asanuma. The researchers focused on a loop of DNA that looks like a hairpin with two arms. At the end of each arm, azobenzene groups are integrated into the DNA sequence. Under visible light, the azobenzene groups adopt the trans isomer, allowing the base pairs to join together. When UV light is applied, the azobenzene groups switch to the more sterically-constrained cis isomer. The system is fully reversible, allowing it to have great potential to be applied to other nanotechnologies that use DNA. “To be able to switch biomolecular conformational changes is of considerable interest for many applications in biomedicine and bionanotechnology,” says Technical University of Munich’s Friedrich Simmel.
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Microsoft Live Labs researchers have developed Pivot, a tool designed to visually organize large data sets. Pivot presents data in the form of several images accompanied by textual data. Users can zoom into the images to study individual pieces of data, or zoom out to see items grouped according to certain criteria. Data collections can contain a few images with static data attached, or they can be large and connected to a feed of changing data. Pivot is based on Microsoft’s Seadragon, software designed for manipulating large amounts of visual information. Users can make their own collections of data by converting images to the Deep Zoom format used by Seadragon, and annotate them using a format based on extensible markup language. Pivot also could provide a better way to sort through Internet search results, because users could sort through thousands of results visually, instead of just looking a list of the top 10 search results.
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The National Energy Research Scientific Computing Center’s John Shalf describes parallel programming languages as tools designed to program systems with multiple processors and thus multiple concurrent instruction threads. He projects that all future computer speed upgrades will be derived from parallelism, as chips’ clock frequencies are no longer increasing. Shalf says that a program that runs in parallel can be created using a sequential programming language, and notes that some of the most commonly used parallel programming strategies exploit the syntax of existing sequential languages. He is concerned “that serial languages do not provide the necessary semantic guarantees about locality of effect that is necessary for efficient parallelism. Ornamenting the language to insert the semantics of such guarantees … is arduous, prone to error, and quite frankly not very intuitive.” Shalf expects a resurgence in implicit parallelism and constructs formulated from functional languages, and says the most important development looking ahead is the migration of parallelism notions from an academic problem to a mainstream challenge. “This means it is even more imperative that we train future computer scientists to solve problems using parallelism from the get-go,” he says.
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