Edward David Moreno

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— This paper describes the implementation of a platform based on reconfigurable architecture and on concepts of virtual instrumentation and its application to the hands-free driving problem. The novelty of this approach is the use of both reconfigurable systems (for developing the car's controller) and virtual instrumentation issues for developing a(More)
Several factors are considered in the development of embedded systems, among which may be mentioned: physical size, weight, mobility, power consumption, memory, safety, all combined with a low cost and ease of use. There are several techniques to optimize the execution time and power consumption in embedded systems. One such technique is the code(More)
This paper presents a new code compression method where we use different dictionaries, all of them are based in traditional Huffman algorithm. Our method reduces code size by up to 34.5% (including all extra costs) and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations using Simple Scalar and analyzes using(More)
This paper presents an innovative and efficient approach to code compression. Our method reduces code size by up to 32.6% and 31.9% (including all extra costs) respectively, for ARM and MIPS processor, and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations and analyzes, using the applications from benchmark(More)
Despite of Cloud infrastructures can be used as High Performance Computing (HPC) platforms, many issues from virtualization overhead had kept them unrelated. However, with advent of container-based virtualizers, this scenario acquires new perspectives because this technique promises to decrease the virtualization overhead, achieving a near-native(More)
This paper proposes a new method of code compression for embedded systems called by us as CC-MLD (Compressed Code using Huffman-Based Multi-Level Dictionary). This method applies two compression techniques and it uses the Huffman code compression algorithm. A single dictionary is divided into two levels and it is shared by both techniques. We performed(More)