Fabio Tordini is the recipient of a best paper award for his paper A cloud solution for multi-omics data integration at the 16th IEEE Intl. Conference on Scalable Computing and Communications (ScalCom 2016), Toulouse, France.
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, 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.
IBM PhD Fellowship Program
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
Corso Germano Sommeiller , 12, Torino, 10125, Italia
More information at: https://pintofscience.it/event/i-supercomputer-venuti-dal-futuro
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.
Following up the success of FastData @UNITO!
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
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
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.
Excited for the kick-off of Toreador: TrustwOrthy model-awaRE Analytics Data platfORm. Alpha@UNITO participates within CINI (National Interuniversity Consortium for Informatics). A 6.2M€ EU H2020 RIA ICT-16-2015 big data.
Marco Aldinucci is now director of the University of Torino research unit in the
National Interuniversity Consortium for Informatics (CINI).
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