Mobile devices, such as phones and tablets, offer a plethora of media-rich applications such as photo and video recording and editing, natural user interfaces and computer vision. Other areas of embedded image systems are characterized by close-to-sensor processing, such as advanced driver assistance systems, mobile scanners, and smart devices used in medical and industrial imaging. This demands highest computing capabilities at stringent resource and power budgets as well as hard real-time constraints.
Future scaling of computing performance mandates dramatically improving energy efficiency of image systems. One recognized trend is to use heterogeneous hardware such as big.LITTLE cores and accelerators such as DSPs, embedded GPUs, FPGAs, or dedicated hardware. Another trend is to use new 3D integrated circuit technologies that allow for tighter integration of compute cores, memory and sensors to reduce communication latency and improve bandwidth, leading to lower energy consumption.
This calls for novel methodologies for designing heterogeneous hardware, as well shielding software developers from growing complexity and allowing them to concentrate on algorithm development rather than on low level implementation details. Read the rest of this entry »
Computing in Science & Engineering seeks articles for a May/June 2012 special issue focusing on the use of GPUs in science and engineering applications. Contributions covering all aspects of using GPUs for solving challenging computational science problems are welcome. Of special interest are articles presenting results of porting efforts of large-scale scientific applications on large-scale GPU-based high-performance computers. See the full call for papers for complete details.
The trend of multicore processors development brings a shift of paradigm in applications development. Traditionally, increasing clock frequency is one of the main dimensions for conventional processors to achieve higher performance gains. Application developers used to improve performance of their applications by just waiting for faster processor platforms. Today, increasing clock frequency has reached a point of diminishing returnsâ€”and even negative returns if power is taken into account. Multicore processors, also known as Chip multiprocessors (CMPs), promise a power-efficiency way to increase performance and become more prevalent in vendors’ solutions, for example, IBM CELL Broadband Engine processors, Intel Core 2 Dual processors, and so on. However, the application or algorithm development process must be significantly changed in order to fully explore the potential of multicore processors. This special issue of the Journal of VLSI Signal Processing Systems is to discuss related challenges, issues, case studies, and solutions, especially focusing on multimedia-related applications, architectures, and programming environments, for example, understanding the complexity of developing a new application or porting an existing application onto a multicore processor. (Call for papers)
The deadline for the Special Issue of the Elsevier Journal “Simulation Practice and Theory” about Programmable Graphics Hardware has been extended until Tuesday, May 17th, 2005. Authors of
papers which explore simulation studies and algorithms utilizing graphics hardware are invited to participate in the special issue. Please see the Call for Papers for more information. (http://www.cg.informatik.uni-siegen.de/News/3_SIMPRA_CFP)
A Special Issue of the Elsevier Journal “Simulation Practice and Theory” about Programmable Graphics Hardware is planned for 2005. Authors of papers which explore simulation studies and algorithms utilizing graphics hardware are invited to participate in the special issue. Please see the Call for Papers for more information.