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Multiprocessor Systems-on-Chip (MPSoCs) are a promising solution to fulfill the requirements of high performance computing applications, such as image processing or bioinformatics. Many different MPSoC architectures are introduced by industry and academics, such as Intel's Single Cloud Computer (SCC) or IBM's Cell. To achieve a high efficiency on such(More)
—The mapping process of high performance embedded applications to today's reconfigurable multiprocessor System-on-Chip devices suffers from a complex toolchain and programming process. Thus, the efficient programming of such architectures in terms of achievable performance and power consumption is limited to experts only. Enabling them to non-experts(More)
Efficiently managing the parallel execution of various application tasks onto a heterogeneous multi-core system consisting of a combination of processors and accelerators is a difficult task due to the complex system architecture. The management of reconfigurable multi-core systems which exploit dynamic and partial reconfiguration in order to, e.g. increase(More)
As processors and systems on chip in the embedded world increasingly become multicore, parallel programming remains a difficult, time-consuming and complicated task. End users who are not parallel programming experts have a need to exploit such processors and architectures, using high level programming languages, like Scilab or MATLAB. The ALMA toolset(More)
Reliability in embedded systems is crucial for many application domains. Especially, for safety critical application, as they can be found in the automotive and avionic domain, a high reliability has to be ensured. The technology in chip production undergoes a steady shrinking process from nowadays 25 nanometers. It is proven that coming technologies, which(More)
Today's reconfigurable multicore architectures become more and more complex. They consist of several processing units, not necessarily identical, different interconnecting modules, memories and possibly other components. Programming such kind of architectures requires deep knowledge of the underlying hardware and is thus very time consuming and error prone.(More)
The mapping process of high performance embedded applications to today's multiprocessor system on chip devices suffers from a complex tool chain and programming process. The problem here is the expression of parallelism with a pure imperative programming language which is commonly C. This traditional approach limits the mapping, partitioning and the(More)
This paper presents a virtualization approach for heterogeneous adaptive multi-core systems distributed onto several FPGA-boards. The virtualization layer consists of an adapted embedded Linux kernel and several special purpose operating systems. The benefits are demonstrated with a complex image processing application.