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 applied aspects of the proposed research are of interest for the agro-food and industrial sectors that will contribute to the technology transfer and to the exploitation of the results. Aiuto Sfoglia Scorri i prodotti per: 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 baneo disk. Even though the data volume hando the time scale in the two fields are very different, the above banddo show fiirb important the real time processing is.

However, the recent development of the digital technology applied to consumer goods allows the cosntruction of innovative systems based on commercial solutions. Bamdo di Ricerca Triennale – Genetic and epigenetic control of ovule number and fertility in Arabidopsis Several important events are required for successful seed setting: Utilizza questo identificativo per citare o creare un link a questo documento: This species has been chosen because it is closely related to Arabidopsis and because genome sequence and mutant facilities are available for this species.

Clara Conicella Project Coordinator: We will characterize the system proposed also in bamdo context of the medical imaging. The objectives will be reached using an integrative approach using NGS approaches that are available in the two URs Univ. We intend to deploy it as a trigger device in HEP experiments both at the first levels as a synchronous apparatus and at the higher levels as a powerful processor for complex algorithms.

This is possible thanks to the specific architecture of the GPUs which well adapts to parallelizable problems such as those of patter recognition. I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Particular attention will be devoted to latency of the data transfer such ffirb to ensure a total acceptable latency. This project aims to study the molecular network determining ovule numbers and fertility using Arabidopsis as a model. File in questo prodotto: Scheda breve Scheda completa Autori: In conclusion, we propose to demonstrate the feasibility of a system for the data acquisition and analysis in real time based on a creative use or emerging electronics technologies. Scheda prodotto non validato Attenzione!


Several important events are required for successful seed setting: The underlying idea of the project is to exploit the computational power of the modern graphics processor units for real time applications.

BORSE DI STUDIO: bandi scaduti

The huge computational power of a single GPU is for such problems comparable with those of hundreds of standard processors CPU. The final goal is to identify CUC targets that will reveal the genetic network controlling this process and to identify genes that control ovule numbers in Arabidopsis.

For data transmission we will study different solutions. The final goals of the project are to demonstrate the effectiveness of the proposed solution in three fields different for acquisition rate, data volume, and computing intensity. For example, this is the case for the real time reconstruction of medical images during the diagnostics or the clinic therapy.

Nevertheless it will be necessary to develop new methods to adapt specific application technology that has been design for very different goals. The most innovative aspect of this project is probably the solution of complex problems with the GPUs.

The current scientific experiments require a constant improvement of the data acquisition and analysis systems. Yield enhancement is very important to meet increasing food demand. This happens for example for big high energy physics experiments. We plan to understand how epigenetic modifications correlate with the activity of CUC transcription factors in modulating firg expression needed for ovule primordia formation and development.

Autore Titolo Riviste Serie. Examples of the deployment of the GPUs in banddo applications have already been proposed, however this is probably the first project aimed at using of GPUs in real time applications. We propose a ifrb aimed at the developing of a novel system for realtime scientific applications. This, by exploiting the constant development of the electronic industry, reduces the cost and the construction time.

Even though the trigger in HEP experiments and the reconstruction of medical images have important differences, they share the necessity for high computational power and reliability.


The genetic networks controlling ovule number and fertility are strictly connected and a restricted number of master genes control these developmental processes, examples of this are for instance the CUC genes, which encode transcription factors. Furthermore, the expected results will be the first step for technology transfer from model species to crops of high value such as Brassica napus.

On the other hand, a fast analysis of the collected data is necessary to promptly react to what has been observed. The main issues fifb such a proposal are the possibility to have a large bandwidth and a constant latency. This is typically achieved developing systems dedicated to the specific application.


Milano and CNR-IBBR, Porticisuch as laser microscopy, genome wide histone marks identification, genome wide expression analysis, genome wide chromatin identification. Athda19 and Atmcc1 mutants in which the histone acetylation is increased have a phenotype similar to the one described for the cuc2 STK:: In many cases it is essential to have a fast processing time for rirb data 201. The project presented will be carried on in three years on by the three research units of INFN, the University of Ferrara, the University of Rome Sapienza; all scientists involved in this project have specific competencies in the proposed field.

The number of seed that develop is one of the most important traits in plant breeding. Vando dati possono differire da quelli visualizzati in reportistica.

The project is built in a way that the two URs, with complementary and the necessary competences to approach firv a complex and interesting process, will interact constantly to reach the expected scientific results and to guarantee an excellent training for young scientists. The possibility to effectively reduce the rate of collected data with fibr online selection with similar performances than those obtained offline will reduce the requests on the bandwidth.

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.

Our proposal is based on the deployment of graphics processing units GPU.