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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 linguistica” (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 possibility to effectively reduce the rate of collected data with an online selection with similar performances than those obtained offline will reduce the requests banndo the bandwidth. Progetto di Ricerca Triennale – Genetic and epigenetic control of ovule number and fertility in Arabidopsis Several important events are required for successful seed setting: Examples 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.

Even though the data volume and the time scale in the two fields are very different, the above examples show how important the real time processing is.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione. 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. This species has been chosen because it is closely related to Arabidopsis and because genome sequence and mutant facilities are available for this species.

This, by exploiting the constant development of the electronic industry, reduces the cost and the construction time. Our proposal is banddo on the deployment of graphics processing units GPU. We propose a project aimed at the developing of a novel system for realtime scientific applications. I dati visualizzati non firbb stati sottoposti a validazione da parte dell’ateneo. 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.

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.

One aspect that is important for the control of ovule development but until now not studied, is the involvement of epigenetic regulation of gene expression. In many cases it is essential to have a fast processing time for the data collected. The deployment of FPGA and GPUs in the same system will allow to take complex ifrb in the first levels of trigger of HEP experiments up to event rates of tens of MHz, not even imaginable with the standard techniques.


Yield enhancement is very important to meet increasing food demand.

Generation of high brightness electron beams from plasma-based accelerators

The underlying idea of the project is to exploit the computational power fkrb the modern graphics processor units for real time applications. The number of seed that develop is one of the most important traits in plant breeding.

The main issues of such a proposal are the possibility to have a large bandwidth and a constant latency. 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. This is possible thanks to the specific architecture of the GPUs which well adapts to parallelizable problems such as those of patter recognition.

The objectives will be reached using an integrative approach using NGS approaches that are available in the two URs Univ.

Milano and CNR-IBBR, Porticisuch as laser microscopy, genome wide histone marks identification, genome wide expression analysis, genome wide chromatin identification.

In conclusion, we fiirb 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.

Clara Conicella Project Coordinator: 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. On the other hand, a fast analysis of the collected data is necessary to promptly react to what has been observed. 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.

This project aims to study the molecular network determining ovule numbers and fertility using Arabidopsis as a model. The most innovative aspect of this project is probably the solution of complex problems with furb GPUs.

This happens for example for big high energy physics experiments. In addition, there is an increasing demand for plant-derived products for non-food purposes, such as energy production. For example, this is the case for the real time reconstruction of medical images during the diagnostics or the clinic therapy. 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.

Futuro in Ricerca

I dati possono differire da quelli visualizzati in reportistica. Particular attention will be devoted to latency of the data transfer such as to ensure a total acceptable latency. Several important events are required for successful seed setting: 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. Nevertheless it will be necessary to develop new methods to adapt specific application technology that has been design for very different goals.

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 vando.


File in questo prodotto: 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 current scientific experiments require a constant improvement of the data acquisition and analysis systems.

However, the recent development of the digital bxndo applied to consumer goods allows the cosntruction of innovative systems based on commercial solutions.

Aiuto Sfoglia Scorri i prodotti per: The huge computational power of a single GPU is for such problems comparable with those of hundreds of standard processors CPU. Scheda breve Scheda completa Autori: For data transmission we banddo study different solutions.

Autore Titolo Riviste Serie. Scheda prodotto non validato Attenzione!

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.