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The goal of Long Term Evolution (LTE) is to achieve higher data rates through more efficient transmission, and thus improving the cellular phone user experience by enabling powerful new devices. The changes required in this technology present new challenges for base station vendors and their suppliers. Supporting 4G systems efficiently requires a number of innovations in DSP design; these innovations are moving the industry toward SoC architectures to support such systems. This paper will explore how TI's new architecture enables the key features in 4G systems.

Supporting the Wind River Systems VxWorks operating system on Intel architecture is valuable for customers who would like to preserve their application software and evaluate other architectures for comparison purposes or for architecture conversion. Products from Wind River Systems, particularly VxWorks, offer a great opportunity to address multiple architectures with the same real-time operating system (RTOS). Furthermore, the continuous development and migration of multicore platforms has increased the focus on migrating software to multicore and performance optimizations given a specified software workload and certain hardware resources.

High Level Synthesis Architectural Optimization Basics In part 1 of this article we introduced basic filter bank theory and used the Synplify DSP High Level Synthesis (HLS) tool to implement an example filter bank into three alternative architectures. In part 2 we dive deeper into these three architectures to better understand how these filters work. We will also examine the HLS optimizations we applied and the resulting benefits. Example Filter Bank Review Before we proceed, let's quickly review our filter bank example. Our example, shown in Figure 1, is a size 16 DFT filter bank. The color scheme shows the sample rate change where a 16 MHz input sample rate (red) has been chosen and the output sample rate is downsampled by 16 (green).

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.

What made me fall of my chair is the methodology/architecture part of this statement. It’s hard enough (but doable) to use RDF to map philosophically similar APIs. It’s a non-starter to use it to bridge architectural and methodological differences. I have spent a fair amount of time looking at Semantic Web technologies in the context of modeling IT systems (see the “semantic tech” category of this blog). While I think they would be a great foundation I don’t see them ever coming anywhere near what Reuven describes.

The embedded world is constantly changing. You might not have noticed, but if you take a minute to recall what a microcontroller system was like 10 years ago and compare it to today's latest microcontroller systems, you will find that PCB design, component packages, level of integration, clock speed, and memory size have all going through several generations of change. One of the hottest topics in this area is when will the last of remaining 8-bit microcontroller users start to move away from legacy architectures and move to modern 32-bit processor architectures like the ARM Cortex-M based microcontroller family. Over the last few years there has been a strong momentum of embedded developers starting the migration to 32-bit microcontrollers and, in this multi-part article, we will take a look at some of the factors accelerating this migration.

DMA is used in almost every complex system or subsystems, but it's observed that teams either build the DMA controller from scratch for each project for specific application or take the existing DMAC available from elsewhere. This article discusses the architecture of DMAC that can be used with any kind of Bus, configuration (parallel, serial transfers), can be connected to any kind of ports, most importantly any kind of software assumptions can be implemented in the DMAC very easily.

Opus is Octasic's high-performing, ultra low-power, asynchronous DSP technology optimized for basestations, video processing and media gateway solutions. Asynchronous designs deliver similar computing performance to synchronous designs, but use less silicon and less power. No clock tree No state-elements Less sensitive to process and temperature variations

DSP core licensor Ceva Inc. is due to unveil a software-programmable multimedia video processor architecture at the Mobile World Congress in Barcelona next week. The multicore architecture, called MM3000, which comes complete with C compilers, power management provision and an RTOS/multithreading scheduler is intended to be able to process any and all video codecs up to the highest resolutions and frame rates currently available as well as future codecs for things like 3-D video.

PC-compatible industrial computers are increasing in computing power at a rapid rate due to the availability of multi-core microprocessor chips, and Microsoft Windows has become the de-facto software platform for implementing human-machine interfaces (HMIs). PCs are also becoming more reliable. With these trends, the practice of building robotic systems as complex multi-architecture, multi-platform systems is being challenged. It is now becoming possible to integrate all the functions of machine control and HMI into a single platform, without sacrificing performance and reliability of processing. Through new developments in software, we are seeing industrial systems evolving to better integrate Windows with real-time functionality such as machine vision and motion control. Software support to simplify motion control algorithm implementation already exists for the Intel processor architecture.

The first textbook of its kind, Programming Massively Parallel Processors: A Hands-on Approach launches today, authored by Dr. David B. Kirk, NVIDIA Fellow and former chief scientist, and Dr. Wen-mei Hwu, who serves at the University of Illinois at Urbana-Champaign as Chair of Electrical and Computer Engineering in the Coordinated Science Laboratory, co-director of the Universal Parallel Computing Research Center and principal investigator of the CUDA Center of Excellence. The textbook, which is 256 pages, is the first aimed at teaching advanced students and professionals the basic concepts of parallel programming and GPU architectures. Published by Morgan Kaufmann, it explores various techniques for constructing parallel programs and reviews numerous case studies. With conventional CPU-based computing no longer scaling in performance and the world’s computational challenges increasing in complexity, the need for massively parallel processing has never been greater. GPUs have hundreds of cores capable of delivering transformative performance increases across a wide range of computational challenges. The rise of these multi-core architectures has raised the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.

(Nanowerk News) Scientists at the University of Glasgow have devised a molecular 'LEGO toolkit' which can be used to assemble a vast number of new and functional chemical compounds. Using molecules as building blocks they have been able to construct a molecular scaffold based on tiny (nano-scale) storage cubes. This new ‘designer route’ opens the door to many new compounds that, potentially, are able to act as the ion sensors, storage devices, and catalysts of the future. Researchers within the Department of Chemistry created hollow cube-based frameworks from polyoxometalates (POMs) – complex compounds made from metal and oxygen atoms – which stick together like LEGO bricks meaning a whole range of well-defined architectures can be developed with great ease ("Face-directed self-assembly of an electronically active Archimedean polyoxometalate architecture").

Predicting trends is difficult even by the most connected industry experts, but one trend that's easy to spot is the widespread acceptance of multicore SoC. This is happening for a number of reasons. First, it's been years since the workstation first adopted the multicore processor architecture to solve such issues as increasing performance and power concerns. While the adoption rate in workstations is now saturated and is fully supported by General Purpose OSs (GPOS), the embedded world is just now looking at ways to adopt multicore architecture. Second, several SoC vendors have been providing multicore solutions including Cavium, Freescale, MIPS, and ARM; but up until now, these solutions have been limited to networking and used for performance enhancements rather than for low power. The rest of the embedded industry has had limited hardware options available as low-power design is a driving factor. While the ARM 11 MPCore was ahead of its time, the Cortex-A9 MPCore design is ready for primetime and is gaining acceptance in the embedded marketplace. As a result, SoC vendors have adopted the Cortex-A9 MPCore hardware as a basis for their next generation designs. Over a year ago, Texas Instruments pre-announced their next-generation OMAP designs in the OMAP 4 with a dual-core Cortex-A9 MPCore, scheduled for production in the second-half of 2010. ST Microsystems has pre-announced their next generation consumer devices which will be based on the Cortex A9 MPCore.

March has seen two significant announcements from FPGA start-ups with innovative architectures: Tabula, with their time-domain-multiplexed architecture, and TierLogic, implementing their routing switches in a layer of thin-film transistors. Both approaches promise to significantly reduce the die size and cost of high-end FPGAs. But before these announcements broke, a relatively unnoticed paper at February's International Symposium on FPGAs described what may be the most radical technology of them all: FPGAs using electromechanical relays. No, this is not an early April Fool's joke, nor is it one of those "let's see if anyone will publish this one" academic exercises. The paper presented work by professors and students at the Stanford University departments of electrical engineering and computer science, and researchers at Altera Corp. The work was supported in part by DARPA funding.

National Instruments has released a vision module for the PXI platform that provides a high-performance parallel processing architecture for hardware-defined timing, control and image pre-processing. The NI 1483 Camera Link adapter module, in combination with an NI FlexRIO field-programmable gate array (FPGA) board, offers a solution for embedding vision and control algorithms directly on FPGAs which are used to process and analyse an image in real time with little to no CPU intervention. The FPGAs can be used to perform operations by pixel, line and region of interest. They can implement many image processing algorithms that are inherently parallel, including fast Fourier transforms (FFTs), thresholding and filtering.

In separate keynote addresses in Silicon Valley, two Internet pioneers gave different takes on the future of the network of networks Monday (May 24). Vint Cerf, co-developer of the Net's TCP/IP protocol, shared his thoughts with developers of the smart electric grid, seen as a massive embedded extension to the Internet. Larry Roberts, who helped launch the forerunner of the Internet, explained his ideas for remedying the growing congestion that plagues the Web today. Smart grid developers can learn from the lessons of the Internet, Cerf told attendees at Connectivity Week here. They should follow the model of the Net in creating a layered architecture with plenty of room for flexibility in areas that cannot be anticipated today, he said in a keynote at Connectivity Week.

Complex computer models can involve thousands of variables. But paradoxically, adding more variables can sometimes make them easier to work with.

Lattice Diamond design software offers leading-edge design and implementation tools optimized for cost sensitive, low-power Lattice FPGA architectures. Diamond is the next generation replacement for ispLEVER featuring design exploration, ease of use, improved design flow, and numerous other enhancements. The combination of new and enhanced features allows users to complete designs faster, easier, and with better results than ever before.

Today's FPGAs are doubling in capacity every 2 years and have already surpassed the 5 million equivalent ASIC gate mark. With designs of this magnitude, the need for fast flows has never been greater. At the same time, designers are seeking rapid feedback on their ASIC or FPGA designs by implementing quick prototypes or initial designs on FPGA-based boards. These prototypes or designs allow designers to start development, verification and debug of the design—in the context of system software and hardware—and also to fine tune algorithms in the design architecture. Quick and intuitive debug iterations to incorporate fixes are of great value. The ability to perform design updates that don't completely uproot all parts of the design that have already been verified is also a bonus! Whether the goal is aggressive performance or to get a working initial design or prototype on the board as quickly as possible, this paper provides information on traditional and new techniques that accelerate design and debug iterations.

Scientists have great expectations that nanotechnologies will bring them closer to the goal of creating computer systems that can simulate and emulate the brain's abilities for sensation, perception, action, interaction and cognition while rivaling its low power consumption and compact size. DARPA for instance, the U.S. military's research outfit known for projects that are pushing the envelope on what is technologically possible, has a program called SyNAPSE that is trying to develop electronic neuromorphic machine technology that scales to biological levels. Started in late 2008 and funded with $4.9 million, the goal of the initial phase of the SyNAPSE project is to "develop nanometer scale electronic synaptic components capable of adapting the connection strength between two neurons in a manner analogous to that seen in biological systems, as well as, simulate the utility of these synaptic components in core microcircuits that support the overall system architecture."