Several important events are required for successful seed setting: the ovule primordia have to be formed, followed by pattern formation and. Second International Conference, TPDL , Paphos, Cyprus, September 27, gestione dei dati, analisi linguisticaā€¯ (Bando FIRB – Futuro in ricerca ) . Titolo: BANDO FIRB – PROGRAMMA “FUTURO IN RICERCA” Anno ” Realization of an innovative system for complex calculations and pattern recognition.

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The current scientific experiments require a constant improvement of the data acquisition and analysis systems. This is possible thanks to the specific architecture of the GPUs which well adapts to parallelizable problems such as those of patter recognition.

In such experiments it is necessary to keep the large flux of data on buffers while selective and fast algorithms are performed to identify the very few events to store on disk. Even though the data volume fkrb the time scale in the two fields are very different, the above examples show how important the real time processing is.

For example, this is the case for the real time reconstruction of medical images during the diagnostics or the clinic therapy. This happens for example for big high energy physics experiments. Athda19 and Atmcc1 mutants in which the histone acetylation is increased have a phenotype similar to the one described for the cuc2 STK:: Furthermore, the expected results will be the first step for technology transfer from model species to crops of high value such as Brassica napus.

Utilizza questo identificativo per fibr o frib un link a questo documento: File in questo prodotto: This project aims to study the molecular network determining ovule numbers and fertility using Arabidopsis as a model.

Scheda breve Scheda completa Autori: Aiuto Sfoglia Scorri i frb per: The huge computational power of a single GPU is for such problems comparable with those of hundreds of standard processors CPU. The most innovative aspect of this project is probably the solution of complex problems with the GPUs.

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Nevertheless it will be necessary to develop new methods baando adapt specific application technology that has been design for very different goals. This is typically achieved developing systems dedicated to the specific application.

Banro of the deployment of the GPUs in scientific applications have already been proposed, however this is probably the first project aimed at using of GPUs in real time applications. The objectives will be reached using an integrative approach using NGS approaches that are available in the two URs Univ.

This, by exploiting the constant development of the electronic industry, reduces the cost and the construction time. The deployment of FPGA and GPUs in the same system will allow to take complex decisions in the first levels of trigger of HEP experiments up to event rates of tens of MHz, not even imaginable with the standard techniques. The possibility to effectively reduce the rate of collected data with an online selection with similar performances than those obtained offline will reduce banod requests on the bandwidth.

I dati visualizzati non sono stati sottoposti a validazione da parte dell’ateneo. Milano and CNR-IBBR, Porticisuch as laser microscopy, genome wide histone marks identification, genome wide expression analysis, genome wide chromatin identification. Yield enhancement is very important to meet increasing food demand.

The applied aspects of the proposed research fifb of interest for the agro-food and industrial sectors that will contribute to the technology transfer and to the exploitation firbb the results. We plan to understand how epigenetic modifications correlate with the activity of CUC transcription factors in modulating gene expression needed for ovule primordia formation and development.

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Autore Titolo Riviste Serie.

Futuro in Ricerca

Particular attention will be devoted to latency of the data transfer such as to ensure a total acceptable latency. Scheda prodotto non validato Attenzione!

The project is built in a way that the two URs, with complementary and the necessary competences to approach such a complex and interesting process, will interact constantly to reach the expected scientific results and to guarantee an excellent training for young scientists.

We will characterize the system proposed also in the context of the medical imaging. In addition, it will be easy to adapt the system also to the high level triggers allowing to reduce the cost of the current PC farms for the online selection.

The final goals of girb project are to demonstrate the effectiveness of the proposed solution in three fields different for acquisition rate, data volume, and computing intensity.

This species has frib chosen because it is band related to Arabidopsis and because genome sequence and mutant facilities are available for this species. Our proposal is based on the deployment of graphics processing units GPU. Clara Conicella Project Coordinator: The genetic networks controlling ovule number and fertility are strictly connected and a 212 number of master genes control these developmental processes, examples of this are for instance the CUC genes, which encode transcription factors.

We intend to deploy it as a trigger device in Band experiments both at the first levels as a synchronous apparatus and at the higher levels as a powerful processor for complex algorithms.

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