Maurizio Drocco from Alpha@UNITO is the recipient of a IBM award

Maurizio Drocco, a PhD student from the Alpha@UNITO parallel computing group is the recipient of a IBM Ph.D. Scholarship award 2015. Few awards of this kind are assigned every year.

Congratulations to Maurizio.


Dear Professor Aldinucci:

It is my pleasure to inform you that your nomination of Maurizio Drocco has been approved to receive an IBM Ph.D. Scholarship. This award is highly competitive and recognizes your student as well as the quality of your institution. In order to nurture the student relationship the IBM Ph.D. Scholarship program has asked Fabrizio Petrini to act as Maurizio’s mentor and principal IBM relationship contact for this award. The award check will be for the amount of $20,000 USD and will be made payable to the university for Maurizio to use as the student wishes for educational purposes – such as, but not limited to tuition, conference travel, or stipend. Again, IBM is delighted to provide your student an IBM Ph.D. Scholarship Award. Sincerely,

Dr. Lilian Wu
Program Executive
IBM PhD Fellowship Program

Two PhD students selected for a 6 months Internship at IBM T.J. Watson

Maurizio Drocco and Claudia Misale have been selected for a quite competitive internship at IBM T.J. Watson laboratory in New York (6 months May-Oct 2015). Maurizio is going to work on parallel algorithms fro graph analytics within Fabrizio Petrini group. Claudia is going to work on low-latency interconnects within Carlos H.A. Costas group.


Two MSc students from parallel computing group awarded

Two MSc students from parallel computing group “alpha” have been awarded with best thesis of the year price

Maurizio Drocco from MSc in Computer Science and Alessandro Ludovico Veltri from the MSc in Networking from the Interfaculty School of Strategic Studies, respectively,  have been awarded with “University of Torino best thesis of the year 2012/13 price”. Only one student per master class is awarded every year.

Maurizio Drocco graduated with the thesis on “Parallel stochastic simulators in systems biology: the evolution of the species”,  Alessandro Ludovico Veltri graduated with the thesis on “Analysis, setup and assessment of cloud platforms: addressing the defense cloud computing”.

Both of them graduated with “summa cum laude and honour”, for the exceptional quality of their curricula and their thesis .

Best students at UNITO 2012/13 (in Italian)

Programmazione Parallela: evoluzione e nuove sfide

Programmazione Parallela: evoluzione e nuove sfide

di Marco Danelutto, Università di Pisa

Le recenti evoluzioni dei componenti di calcolo hanno messo a disposizione processori sempre più veloci e potenti che pongono nuove sfide dal punto di vista degli strumenti di programmazione. I classici strumenti utilizzati fino ad ora, infatti, richiedono un notevole sforzo di programmazione quando si vogliano sfruttare appieno tutte le caratteristiche dei nuovi componenti. In questo lavoro discutiamo alcuni recenti sviluppi nei modelli di programmazione parallela strutturata che permettono di sviluppare rapidamente applicazioni molto efficienti in grado di utilizzare tutte le nuove caratteristiche disponibili.

Vai all’articolo su Mondo Digitale


3.5 M€ H2020-RIA Rephrase starts on 1st April 2015

The focus of the RePhrase project is on producing new software engineering tools, techniques and methodologies for developing data-intensive applications in C++, targeting heterogeneous multicore/manycore systems that combine CPUs and GPUs into a coherent parallel platform. Data-intensive applications are one of the most important and commonly encountered classes of industrial application. Such applications are often potentially highly parallel and are a clear match to emerging heterogeneous parallel architectures. However, exploiting this potential effectively can be difficult: it is even harder to obtain good performance for parallel data-intensive applications than for compute- intensive applications, since many additional issues related to data management need to be taken into account. These including structuring the data to make it efficient to access and to process, placement/migration/replication of the data to allow fast parallel access, ensuring data consistency etc. The RePhrase project tackles these issues directly.

Temporary web-site: