Despite the recent explosion of web based cartography tools, making effective maps for data visualization remains a challenge. While tools like Google Maps are great for helping navigate the world they are often poorly suited for thematic mapping, as many features like roads and cities only get in the way of telling compelling stories with data. In fact, even the distance between places can be a distraction – who cares how far away Alaska is when the goal is to make a simple comparison between US states? To help overcome some of the limitations with existing mapping tools Sunlight Lab is releasing ClearMaps, an ActionScript framework for interactive cartographic visualization. In addition to giving designers and developers more control over presentation the project aims to address some of the common technical challenges faced when building interactive, data driven maps for the web. ClearMaps is designed as a lightweight, flexible set of tools for building complex data visualizations. It is a framework not a plug-and-play component (though it could be a starting point for those wishing to make reusable tools).

Despite the recent explosion of web based cartography tools, making effective maps for data visualization remains a challenge. While tools like Google Maps are great for helping navigate the world they are often poorly suited for thematic mapping, as many features like roads and cities only get in the way of telling compelling stories with data. In fact, even the distance between places can be a distraction – who cares how far away Alaska is when the goal is to make a simple comparison between US states? To help overcome some of the limitations with existing mapping tools Sunlight Lab is releasing ClearMaps, an ActionScript framework for interactive cartographic visualization. In addition to giving designers and developers more control over presentation the project aims to address some of the common technical challenges faced when building interactive, data driven maps for the web. ClearMaps is designed as a lightweight, flexible set of tools for building complex data visualizations. It is a framework not a plug-and-play component (though it could be a starting point for those wishing to make reusable tools).

Despite the recent explosion of web based cartography tools, making effective maps for data visualization remains a challenge. While tools like Google Maps are great for helping navigate the world they are often poorly suited for thematic mapping, as many features like roads and cities only get in the way of telling compelling stories with data. In fact, even the distance between places can be a distraction – who cares how far away Alaska is when the goal is to make a simple comparison between US states? To help overcome some of the limitations with existing mapping tools Sunlight Lab is releasing ClearMaps, an ActionScript framework for interactive cartographic visualization. In addition to giving designers and developers more control over presentation the project aims to address some of the common technical challenges faced when building interactive, data driven maps for the web. ClearMaps is designed as a lightweight, flexible set of tools for building complex data visualizations. It is a framework not a plug-and-play component (though it could be a starting point for those wishing to make reusable tools).

At three separate industry events last week, engineers said they are gearing up to deliver in 2011 chips that can handle serial data streams running at 25 Gbits/second to drive next-generation 100 and 400 Gbit/second networks. But they say it's still a mystery how—or if—they can deliver follow-on components for the terabit networks today's Internet data centers are already demanding. The kinds of jobs required to run today's Web 2.0 services such as Google and Facebook can completely overwhelm current 10 Gbit/s Ethernet links in the warehouse-sized data centers those companies use. Such data centers could use hundreds of 100 Gbit/s Ethernet links today, although standards for such networks are still being completed.

When Sven Groot was in town a while ago we dropped by Erik Meijer's world and got a look at what he and team have been and still are working on (thus there is no out-of-date property of this fun and insightful interview that is off-the-cuff as it gets: deep Channel 9 ). It's great that we were able to put a real live Niner into fire in one of Erik's team meetings. There is a great deal to learn here. Thank you, Sven, for being a real sport! Great stuff in here. Tune in!

“CMS” stands for Compact Muon Solenoid, a general-purpose particle physics detector built on the Large Hadron Collider. The CMS project posted a few comics which provide a nice, simple (if somewhat cheesy) explanation of what the CMS/LHC does. The LHC generates massive amounts of data of all different varieties, which is distributed across a worldwide grid. It sends status messages to some of the computers, job monitoring info to other computers, bookkeeping info still elsewhere, and so on. This means that each location has specialized queries it can do on the data it has, but up until now it’s been very difficult to query across the whole grid. Enter the Data Aggregation System, designed to allow anything to be queried across all of the machines.

Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. Even better, flare features a modular design that lets developers create customized visualization techniques without having to reinvent the wheel. View the demos and sample applications to see a few of the visualizations that flare makes it easy to build. To begin making your own visualizations, download flare and work through the tutorial. You should also get familiar with the API documentation. Need more help? Visit the help forum (you'll need a SourceForge login to post). Flare is open-source software released under a BSD license, meaning it can be freely deployed and modified (and even sold for $$). Flare's design was adapted from its predecessor prefuse, a visualization toolkit for Java

The MAX13171E along with the MAX13173E/ MAX13175E, form a complete pin-selectable data terminal equipment (DTE) or data communication equipment (DCE) interface port that support the V.28 (RS-232), V.10/V.11 (RS-449/V.36, RS-530, RS-530A, X.21), and V.35 protocols. The MAX13171E transceivers carry the high-speed clock and data signals, while the MAX13173E transceivers carry the control signals. The MAX13171E can be terminated by the MAX13175E pin-selectable resistor termination network. The MAX13175E contains six pin-selectable, multiprotocol cable termination networks.

In mathematics, computer science, and related subjects, an 'algorithm' is an effective method for solving a problem expressed as a finite sequence of instructions. Algorithms are used for calculation, data processing, and many other fields. (In more advanced or abstract settings, the instructions do not necessarily constitute a finite sequence, or even a sequence; see, for example, "nondeterministic algorithm".) Each algorithm is a list of well-defined instructions for completing a task. Starting from an initial state, the instructions describe a computation that proceeds through a well-defined series of successive states, eventually terminating in a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate randomness. [source = Bing Reference]

When a data (typically a variable) can be accessed by several threads, you must synchronize the access to the data to ensure visibility and correctness.

With the consumer demand for richer content and its resultant , increasing high data bandwidth continuing to drive communications systems, coding for error control has become extraordinarily important. One way to improve the bit error rate (BER), while maintaining high data reliability, is to use an error correction technique like the Viterbi algorithm. Originally conceived by Andrew Viterbi as an error-correction scheme for noisy digital communication, the Viterbi algorithm provides an efficient method for forward error correction (FEC) that improves channel reliability. Today, it is used in many digital communications systems in applications as diverse as CDMA and GSM digital cellular, dial-up modems, satellite, deep-space communications and 802.11 wireless LANs. It is also commonly used in speech recognition, keyword spotting and computational linguistics.

A deluge of high-energy physics data is headed toward servers in Geneva, Switzerland, later this month. That's because the European Organization for Nuclear Research (CERN) now says it plans to restart its Large Hadron Collider (LHC) soon for a run that could last as long as two years at a collision energy of seven TeV (tera–electron volts, 3.5 TeV per beam). As CERN ramps up the world's most powerful particle accelerator to operate well beyond its previous best performance, the lab's computer systems must likewise be tuned so they can properly capture and analyze all of this new output.

OpenGL 3.1 introduced two new sources from where shaders can retrieve their data, namely uniform buffers and texture buffers. These can be used to accelerate rendering when heavy usage of application provided data happens like in case of skeletal animation, especially when combined with geometry instancing. However, even if the functionality is in the core specification for about a year now, there are few demos out there to show their usage, as so, there is a big confusion around when to use them and which one is more suitable for a particular use case. Both AMD and NVIDIA have updated their GPU programming guides to present the latest facilities provided by both OpenGL and DirectX, however I still see that people don’t really understand how they work and that prevents them from effectively taking advantage of these features. Once, at some online forum, I found somebody arguing why is this whole confusion introduced by the Khronos Group and why there is no general buffer type to use instead and the decision whether to use uniform or texture buffers should be a decision made by the driver. This particular post motivated me to write this article.

Cypress Semiconductor Corp. has launched a programmable product for data communication over existing power lines. The Powerline Communication product leverages the programmable analog and digital resources of Cypress's PSoC programmable system-on-a-chip architecture. It integrates multiple functions beyond communication, such as power measurement, system management and LCD drive. In addition to its flexibility and integration, the product offers greater than 97% packet success rates without retries and 100% success rates with retries built into the solution's coding, according to Cypress. It also offers the flexibility to communicate over high-voltage and low-voltage power lines for lighting and industrial control, home automation, automatic meter reading and smart energy management applications.

While the new multicore system on chip (SoC) signal-processing architecture announced by Texas Instruments this week at Mobile World Congress hits all the right notes with respect to what's needed in next-generation basestation designs, it rings a bit hollow given how sketchy the architectural details remain when contrasted with more 'real' announcements from the likes of Freescale. For sure, the requirements of next-generation basestations will push all architectures to their limits and beyond. Balancing lower power and lower cost with increasingly parallel, math-intensive processing to meet multiuser demands for high-data-rate data in 3GPP Long Term Evolution (LTE) Release 8 all-IP networks is not going to be easy, especially with the introduction of MIMO, beam forming, OFDMA and many other enhancements engineered to maximize spectral efficiency.

Google PowerMeter allows consumers to access their power consumption data through a secure, Web-based iGoogle™ gadget. As a Strategic Partner, Microchip incorporated the recently announced Google PowerMeter API to create a Reference Implementation, which makes it much easier to develop products that are compatible with Google PowerMeter. Microchip's Reference Implementation demonstrates the device's activation, data transmission and status messages using readily available Microchip development tools. It can be used as a template for developers' own designs.

In this demo we showcase efforts in MSR to collaborate with external researchers to explore the application of new technologies, specifically Dryad and DryadLINQ, to big data research problems in science. We also highlight our efforts to provide software and services to academics across the world, through the release of Dryad and DryadLINQ free of charge to the research community, along with associated programming guides, user documentation, and code libraries. Dryad is a general-purpose distributed computing engine, more flexible than MapReduce or Hadoop!, that was designed to simplify the task of implementing distributed applications on clusters of Windows computers. DryadLINQ is an abstraction layer which simplifies the process of implementing Dryad-based applications. Microsoft Research is acutely aware of the ubiquity of big data and the challenges this presents. We are offering researchers the tools, resources and collaboration to explore this new area.

An all-optical integrator, or lightwave capacitor, is a fundamental building block equivalent to those used in multi-functional electronic circuits. Associate Professor David Moss, a senior researcher within the Institute for Photonic and Optical Science (IPOS), leads an international team which has developed the optical integrator on a CMOS compatible silicon chip. The device, a photonic chip compatible with electronic technology (CMOS), will be a key enabler of next generation fully-integrated ultrafast optical data processing technologies for many applications including ultra-fast optical information-processing, optical memory, measurement, computing systems, and real-time differential equation computing units.

Given the maturity of MOSFETs, selecting one for your next design may seem deceptively simple. Engineers are familiar with the figures of merit on a MOSFET data sheet. Selecting a MOSFET requires the engineer to use their expertise in scrutinizing different specifications for individual applications. In an application such as a load switch in a server power supply, the switching aspects of a MOSFET matter little because the MOSFET is on almost 100% of the time. The on resistance (RDS(ON)) may be the key figure of merit in such an application. Still other applications, including switching power supplies, use MOSFETs as active switches, and cause the engineer to value other MOSFET performance parameters. Let us consider some applications and their prioritization of MOSFET specifications.

Cellphone carriers are racing this year to implement 4G wireless networks so that future smartphones will have access to a fire hose of data. But the towers and infrastructure the carriers are putting in place may ultimately facilitate as many connections with appliances and electric meters as they do downloads of movies and music. The electricity grid, in other words, may be jumping from no G to 4G—and rather soon, according to analysts.