22 research outputs found

    A Reconfigurable Outer Modem Platform for Future Communications Systems

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    Future mobile and wireless communications networks require flexible modem architectures with high performance. Efficient utilization of application specific flexibility is key to fulfill these requirements. For high throughput a single processor can not provide the necessary computational power. Hence multi-processor architectures become necessary. This paper presents a multi-processor platform based on a new dynamically reconfigurable application specific instruction set processor (dr-ASIP) for the application domain of channel decoding. Inherently parallel decoding tasks can be mapped onto individual processing nodes. The implied challenging inter-processor communication is efficiently handled by a Network-on-Chip (NoC) such that the throughput of each node is not degraded. The dr-ASIP features Viterbi and Log-MAP decoding for support of convolutional and turbo codes of more than 10 currently specified mobile and wireless standards. Furthermore, its flexibility allows for adaptation to future systems

    Properties of field functionals and characterization of local functionals

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    Functionals (i.e. functions of functions) are widely used in quantum field theory and solid-state physics. In this paper, functionals are given a rigorous mathematical framework and their main properties are described. The choice of the proper space of test functions (smooth functions) and of the relevant concept of differential (Bastiani differential) are discussed. The relation between the multiple derivatives of a functional and the corresponding distributions is described in detail. It is proved that, in a neighborhood of every test function, the support of a smooth functional is uniformly compactly supported and the order of the corresponding distribution is uniformly bounded. Relying on a recent work by Yoann Dabrowski, several spaces of functionals are furnished with a complete and nuclear topology. In view of physical applications, it is shown that most formal manipulations can be given a rigorous meaning. A new concept of local functionals is proposed and two characterizations of them are given: the first one uses the additivity (or Hammerstein) property, the second one is a variant of Peetre's theorem. Finally, the first step of a cohomological approach to quantum field theory is carried out by proving a global Poincar\'e lemma and defining multi-vector fields and graded functionals within our framework.Comment: 32 pages, no figur

    Characterisation of Gut Microbiota in Ossabaw and Göttingen Minipigs as Models of Obesity and Metabolic Syndrome

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    Recent evidence suggests that the gut microbiota is an important contributing factor to obesity and obesity related metabolic disorders, known as the metabolic syndrome. The aim of this study was to characterise the intestinal microbiota in two pig models of obesity namely Göttingen minipigs and the Ossabaw minipigs.The cecal, ileal and colonic microbiota from lean and obese Osabaw and Göttingen minipigs were investigated by Illumina-based sequencing and by high throughput qPCR, targeting the 16S rRNA gene in different phylogenetic groups of bacteria. The weight gain through the study was significant in obese Göttingen and Ossabaw minipigs. The lean Göttingen minipigs' cecal microbiota contained significantly higher abundance of Firmicutes (P<0.006), Akkermensia (P<0.01) and Methanovibribacter (P<0.01) than obese Göttingen minipigs. The obese Göttingen cecum had higher abundances of the phyla Spirochaetes (P<0.03), Tenericutes (P<0.004), Verrucomicrobia (P<0.005) and the genus Bacteroides (P<0.001) compared to lean minipigs. The relative proportion of Clostridium cluster XIV was 7.6-fold higher in cecal microbiota of obese Göttingen minipigs as compared to lean. Obese Ossabaw minipigs had a higher abundance of Firmicutes in terminal ileum and lower abundance of Bacteroidetes in colon than lean Ossabaw minipigs (P<0.01). Obese Ossabaws had significantly lower abundances of the genera Prevotella and Lactobacillus and higher abundance of Clostridium in their colon than the lean Ossabaws. Overall, the Göttingen and Ossabaw minipigs displayed different microbial communities in response to diet-induced obesity in the different sections of their intestine.Obesity-related changes in the composition of the gut microbiota were found in lean versus obese Göttingen and Ossabaw minipigs. In both pig models diet seems to be the defining factor that shapes the gut microbiota as observed by changes in different bacteria divisions between lean and obese minipigs

    Designing efficient irregular networks for heterogeneous systems-on-chip

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    Abstract — Networks-on-Chip will serve as the central integration platform in future complex SoC designs, composed of a large number of heterogeneous processing resources. Most researchers advocate the use of traditional regular networks like meshes, tori or trees as architectural templates which gained a high popularity in general-purpose parallel computing. However, most SoC platforms are special-purpose tailored to the domain-specific requirements of their application. They are usually built from a large diversity of heterogeneous components which communicate in a very specific, mostly irregular way. In this work, we propose a methodology for the design of customized irregular networks-on-chip, called INoC. We take advantage of a priori knowledge of the applications communication characteristic to generate an optimized network topology and routing algorithm. We show that customized irregular networks are clearly superior to traditional regular architectures in terms of performance at comparable implementation costs for irregular workloads. Even more, they inherently offer true scalability and expansibility which can normally not be accomplished by traditional approaches. I

    A Reconfigurable Multi-Processor Platform for Convolutional and Turbo Decoding

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    Future wireless communications networks require flexible modem architectures with high performance. Efficient utilization of application specific flexibility is key to fulfill these requirements. For high throughput a single processor can not provide the necessary computational power. Hence multiprocessor architectures become necessary. This paper presents a multi-processor platform based on a new dynamically reconfigurable application specific instruction set processor (dr-ASIP) for the application domain of channel decoding. Inherently parallel decoding tasks can be mapped onto individual processing nodes. The implied challenging inter-processor communication is efficiently handled by a Network-on-Chip (NoC) such that the throughput of each node is not degraded. The dr-ASIP features Viterbi and Log-MAP decoding for support of convolutional and turbo codes of more than 10 currently specified mobile and wireless standards. Furthermore, its flexibility allows for adaptation to future systems. 1

    A Reconfigurable Outer Modem Platform for Future Communications Systems

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    Abstract. Current and future communications systems have to provide a large degree of flexibility e.g. to provide multi-service ability, seamless roaming, softinfrastructure upgrading, user-defined propriety, simultaneous multi-standard operation, and different quality of service. This paper presents a multi-processor platform for the application domain of channel decoding. Inherently parallel decoding tasks can be mapped onto individual processing nodes. The implied challenging inter-processor communication is efficiently handled by a Network-on-Chip (NoC) such that the throughput of each node is not degraded. Each processing node features Viterbi and Log-MAP decoding for support of convolutional and turbo codes of various currently specified mobile and wireless standards. Furthermore, its flexibility allows for adaptation to future systems
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