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Machine Learning techniques such as Support Vector Machines (SVM) have found applications in many fields, e.g. in Wireless Sensor Networks (WSN) and sensor data processing in general. Especially in the case of WSN energy is very limited as agents solely operate based on battery power after they have been deployed, therefore energy efficiency is of great importance. Furthermore, agents are supposed...
We present a novel approach that assists the task of porting code to an embedded platform. Our tool automatically identifies code segments in the input program that can be replaced with optimized kernels from a platform-dependent library. Using a C-function as a model that describes the computational kernel, the tool identifies equivalent code regardless of syntactic and computational variations....
Virtual platforms have become essential tools in the design process of modern embedded systems. Their accessibility and early availability make them ideal tools for design space exploration and debugging of target specific software. However, due to increasing platform complexity and the need to simulate more and more processors simultaneously, performance of virtual platforms degrades rapidly.
Coarse-Grained Reconfigurable Architectures (CGRA) promise both low power and high performance coupled with flexibility, however automatic mapping of applications to such platforms remains a great research challenge. Efficient manual mapping of the data-centric kernels of applications yields great results, however these contain internally control-flow specific tasks, which introduce mapping irregularities...
Engineers of next generation embedded systems heavily rely on virtual platforms as central tools in their design process. Yet, the ever increasing HW/SW complexity degrades the simulation performance of those platforms and threatens their viability as design tools. With multi-core workstations today being widely available, the transition towards parallel simulation technologies seems obvious. Recently...
Modern cars require powerful multi- and manycore hardware platforms to fulfill the demands of upcoming computationally intensive advanced driver assistance systems. This leads to a distributed hardware/software architecture that poses an unbearable system complexity to designers. Additionally, the strict requirements of new functional safety standards make it extremely difficult to rapidly and comprehensively...
As a rule, the performance of almost digital image processing (DIP) algorithms and these applications directly depends on the spatial resolution of observed input images. Unfortunately, from the current image sensor technology, it is hard to take sufficient high spatial resolution images from commercial devices therefore the fantastic research attempts and, consequently, simple digital image resolution...
With increasing system size and complexity, designers of embedded systems face the challenge of efficiently simulating these systems in order to enable target specific software development and design space exploration as early as possible. Today's multicore workstations offer enormous computational power, but traditional simulation engines like the OSCI SystemC kernel only operate on a single thread,...
Full-system simulators are essential to enable early software development and increase the MPSoC programming productivity, however, their speed is limited by the speed of processor models. Although hybrid processor simulators provide native execution speed and target architecture visibility, their use for modern multi-core OSs and parallel software is restricted due to dynamic temporal and state decoupling...
Library based waveform (WF) development approaches have the potential to address one of the key challenges in software defined radio technology, developing portable and at the same time implementation-efficient WFs. The term WF, in this paper, represents a complete wireless standard with several modes. Upon standardizing the library and the interfaces of its components, different vendors can provide...
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