Category Archives: news

Parallel computing group news

occam@UNITO> Hello, world!

occam@UNITO> Hello, world!

Occam, our own first pleasantly-sized oddly-heterogenous computer is born. Here 5 the IB switches to build a fat-tree of ~1K cores HT, ~16K CUDA cores, ~1PB archive, ~320 TB high-performance scratch storage. In absolute terms certainly not a huge machine, for research on HPC and BigData at University of Torino certainly a huge opportunity. Thanks to Fondazione SanPaolo and its 960,000 Euro funding.


Claudia Misale from Alpha@UNITO is the recipient of a IBM award

Claudia Misale, a PhD student from the Alpha@UNITO parallel computing group is the recipient of a IBM Ph.D. Scholarship award 2016. Few awards of this kind are assigned every year.

Congratulations to Claudia.

It is my pleasure to inform you that your nomination of Claudia Misale 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 Yoonho Park to act as Claudia’s mentor and principal IBM relationship contact for this award. The award check will be for the amount of $10,000 USD and will be made payable to the university for Claudia 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.

Joseph Calabrese
Program Executive
IBM PhD Fellowship Program

Pint-of-Science Torino: Supercomputing and Quantum computing – May 25

First edition in Torino of Pint of Science “alcoholic” conference series will be focused on next generation computing platforms.

Title: Computer coming from the future

Abstract: Exascale and quantum computing probably represent the evolution and the revolution of computing as we know it today. The goal is the same: overcome by orders of magnitude the computing power available today. The means are different but possibly related. And what if evolution and revolution were a result of a “spooky action at a distance” ?

Speakers: Marco Aldinucci (UNITO) and Marco Genovese (INRIM)

When and where:
Wednesday 25th May, 2016 – 9.00PM
Officine Ferroviarie
Corso Germano Sommeiller , 12, Torino, 10125, Italia

More information at:

Italian version

Il calcolo alle exascale e quantistico rappresentano probabilmente l’evoluzione e la rivoluzione del calcolo come lo conosciamo oggi. Il fine è lo stesso: superare di ordini di grandezza la potenza di calcolo oggi disponibile. I mezzi sono diversi ma forse correlati. E se evoluzione e rivoluzione fossero effetto di una “azione fantasmaticamente a distanza”?


Marco Aldinucci si è laureato e dottorato in Informatica nonostante il suo principale interesse di ricerca riguardasse le feste erasmus. E’ professore associato a Informatica e guida il gruppo di ricerca in parallel computing e lo NVidia GPU research center. Almeno finchè non verrà introdotto l’ etilometro…

Marco Genovese è responsabile del Programma di Ricerca INRIM “Ottica Quantistica”; membro del consiglio scientifico di INRIM. Studia i fondamenti della meccanica quantistica ed applicazioni alle nascenti tecnologie quantistiche.


Claudia Misale from Alpha@UNITO is invited to DataBeers

Following up the success of FastData @UNITO!

Claudia Misale, a PhD student from the Alpha@UNITO parallel computing group has been invited to give a DataBeers talk. The open meetup will be held on April 28th at 19:00 at Rinascimenti Sociali.

DataBeers is organized by Fondazione ISI and Top-IX.

The boom of big data is only an extensive continuation of a classic field of data analysis, and we want to discuss about this with beers and interested people in Torino.

Event link: DataBeers Meetup, April 28th

FastData: Where Big Data meets HPC @ UNITO

FastData: An open symposium on beyond Big Data challenges for researcher, industrial stakeholders, students, practitioners, …


March 21st, 2016

Computer Science Department, University of Torino
Entryway from Via Pessinetto 12, Torino

As planet evolves, an increasingly connected ecosystem of heterogeneous devices produces more volumes and variety of digital data. They range from devices-in-the-fog to insanely complicated machineries looking with ever increasing precision to “the Ultimate Question of Life, the Universe, and Everything”. To keep up with the pace, very large volumes of dynamically changing data ought to be processed, synthesised, and eventually turned into knowledge. High-velocity data brings high value, especially to volatile business processes, mission-critical tasks and scientific grand challenges. Some of this data loses its operational value in a short time frame, some other is simply too much to be stored. Ultimately, any forecast on tomorrow must arrive by tomorrow.

This is the ground where the data science meets high-performance computing.

Participation is free of charge. See more at FastData@UNITO web page

Marco Aldinucci is the recipient of a 2015 IBM Faculty award


IBM faculty award 2015, happy ending at alpha@unito

I am a recipient of a 2015 IBM Faculty award related with high performance data analytics. An award that I am going to share with all people in the alpha group. Their work actually brought the award at the Computer Science department of the University of Torino.



Congratulations, you have been selected to receive a 2015 IBM Faculty Award for $20,000.00 USD. This award is highly competitive and recognizes the quality of your program and its importance to our industry.

I am pleased to inform you that your Faculty Award for $20,000.00 USD has been transferred to your bank of record. The Clearing Date is 11/23/2015, and the Transaction Reference # is XXXX.

Please note that the IBM Faculty Award is a gift in recognition of your achievement and not a contract for services. It will be processed as a donation to your university. Hence, we expect that no overhead will be charged against this award.


A novel high-performance libfabric provider for A3Cube network

Paolo Inaudi,  MSc student from University of Torino,  just completed a first version of a novel, high-performance libfabric provider for A3Cube In-memory “Ronniee express” network.  Opensource under LGPLv3 on GitHUB

A sub-μs latency on pingpong up to 512 bytes. This means just a tiny overhead of the whole protocol over the bare metal latency. An excellent result.

High-Performance cluster - Nodes: Intel i7 cluster
> ./fi_msg_rma_pingpong -p 1000 FORTISSIMO1
name      size   iters   total       time μs  bandwidth     latency/2
2_lat     2       100k    390k        0.18s      2.28       0.88
4_lat     4       100k    781k        0.17s      4.62       0.87
8_lat     8       100k    1.5m        0.18s      9.10       0.88
16_lat    16      100k    3m          0.17s     18.45       0.87
32_lat    32      100k    6.1m        0.17s     36.78       0.87
64_lat    64      100k    12m         0.17s     76.06       0.84
128_lat   128     100k    24m         0.17s    151.70       0.84
256_lat   256     100k    48m         0.17s    299.30       0.86
512_lat   512     100k    97m         0.19s    539.02       0.95
1k_lat    1024    10k     19m         0.02s    898.99       1.14
2k_lat    2048    10k     39m         0.03s   1357.87       1.51
4k_lat    4096    10k     78m         0.04s   1855.91       2.21
8k_lat    8192    10k     156m        0.07s   2245.00       3.65
16k_lat   16384   10k     312m        0.13s   2528.30       6.48
32k_lat   32768   10k     625m        0.24s   2696.31      12.15
64k_lat   65536   1k      125m        0.05s   2793.58      23.46
Low power cluster - Nodes: Intel(R) Atom(TM) CPU  C2750  @ 2.40GHz
> ./fi_msg_rma_pingpong -p 1000 paradigm1
name      size   iters   total       time μs  bandwidth    latency/2
2_lat     2       100k    390k        0.29s      1.36       1.47
4_lat     4       100k    781k        0.29s      2.72       1.47
8_lat     8       100k    1.5m        0.30s      5.42       1.48
16_lat    16      100k    3m          0.30s     10.83       1.48
32_lat    32      100k    6.1m        0.30s     21.30       1.50
64_lat    64      100k    12m         0.29s     43.83       1.46
128_lat   128     100k    24m         0.26s     98.82       1.30
256_lat   256     100k    48m         0.27s    191.91       1.33
512_lat   512     100k    97m         0.30s    339.60       1.51
1k_lat    1024    10k     19m         0.04s    548.24       1.87
2k_lat    2048    10k     39m         0.05s    790.99       2.59
4k_lat    4096    10k     78m         0.08s   1022.20       4.01
8k_lat    8192    10k     156m        0.14s   1196.03       6.85
16k_lat   16384   10k     312m        0.25s   1310.76      12.50
32k_lat   32768   10k     625m        0.48s   1376.25      23.81
64k_lat   65536   1k      125m        0.09s   1412.90      46.38


Paradigm Intel atom cluster

Paradigm low-power cluster with A3Cube and Ethernet networks

Il Dipartimento di Informatica dell’Università di Torino protagonista del progetto europeo da 4.2M € “Paraphrase”

Il Dipartimento di Informatica protagonista del progetto europeo “Paraphrase”, per programmare i computer del futuro

Si è appena concluso il progetto europeo “Paraphrase”, che ha coinvolto per 3 anni il Dipartimento di Informatica dell’Università di Torino, in un consorzio di 13 università e industrie europee del settore. “Paraphrase” – interamente finanziato dalla comunità europea con 4.2 milioni di euro all’interno del settimo programma quadro – ha affrontato il problema di rendere più semplice ed economicamente sostenibile la programmazione di calcolatori con molti processori.

Il Dipartimento di Informatica dell’Università di Torino ha dato un contributo decisivo al progetto mettendo a disposizione del consorzio il software open-source FastFlow. Il software, progettato e sviluppato in cooperazione con l’Università di Pisa, è stato adottato da tutto il consorzio come il motore fondamentale per coordinare in modo veloce ed efficace le attività dei processori.

“Paraphrase” – grazie al finanziamento della comunità europea e la collaborazione con gli altri partner – ha permesso di consolidare e ingegnerizzare FastFlow fino al livello di prodotto di qualità industriale. Tanto che il software è diventato la tecnologia fondamentale nell’ambito di altri due progetti europei (“REPARA” e “RePhrase”) da poco acquisiti dall’Università di Torino e Pisa con un finanziamento totale di 7.2 milioni di nell’ambito del nuovo programma quadro della comunità europea “Horizon2020”.

Comunicato stampa sul portale di Ateneo

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