In this section you will find EURA NOVA’s latest news and activities.
This month EURA NOVA has presented the paper “A Distributed Data Mining Framework Accelerated with Graphics Processing Units” at the 2013 CloudCom-ASIA conference in Fuzhou, China. This is the third time that EURA NOVA has published a paper in this conference which is now considered one of the three most important IEEE event covering the topic of Cloud Computing.
With the holiday season approaching, brands are releasing the product that they want us to buy to our relatives (or to ourselves).
Last week Cyrille & François have had the chance to attend the “TechCrunch Disrupt Europe 2013” event in Berlin. This event main topic was the booming new technological and venture opportunities that are materializing for european startups. EURA NOVA’s objectives were to take a look at the “big European picture” and exchange knowledge with brilliant entrepreneurs from all around the world.
Cyrille & François came back boosted by a lot of inspiring stories summarized in this discussion. Enjoy!
Before letting Microsoft build their own Lumia and Asha devices, Nokia still had to release their latest products:
These past years the Graphics Processing Units have gained popularity and momentum in industrial research thanks to the parallel processing power (# of parallel core) that these offers for a reasonable price. The second reason behind this is their wide hardware availability in the consumer landscape: the sheer price cost of a GPU has favored their presence in most of the consumer devices nowadays, from mobile phones & tablets to video game systems.
IS THE FUTURE OF BUSINESS TOTALLY HUMAN CENTRIC?
Today, we see a lot of young developers and designers that grew up with technologies, new social habits and a lot of new tools that did not exist for the previous generation (actually, a generation is no more than 10 years today!).
As a consequence, entrepreneurs in their early 20’s are creating and innovating using technical stacks they have known their whole life, unaware of the details of a CPU, who Turing was and what a methodology can bring to a development project. They just create and diffuse their ideas!
… and people consume their products, get new habits and change their way of viewing/judging things.
This week I was the second IEEE Big Data conference at Santa Clara for presenting our paper “A distributed approach for graph-oriented multidimensional analysis”.
This is now a tradition, I cannot attend a conference without giving you a short summary of the trends and interesting topics of the conference.
In this blog post we briefly describe our new contribution to the big data domain, especially, graphDB benchmarking. This work was accepted for publication at 2013 ASE/IEEE International Conference on Big Data.
In this work, we presented a distributed graph database benchmarking framework. We used this tool to analyze the performance of four graph databases: Neo4j 1.9M05 , Titan 0.3, OrientDB 1.3 and DEX 4.7.
First let’s take a sneak peek at the smartphone market:
And then it’s over, 3 days at the 1st OpenNebula Conference! I took part in 18 talks, put my hands into OpenNebula core, met a lot of interesting people, enjoyed a really nice German dinner in the capital and filled my brain with tons of information and inspiration.
This week I had the chance to attend the ASE/IEEE International conference on Big Data here in Washington DC. EURA NOVA’s presence has been highly remarked as we had two papers: imGraph (big up to @AldemarReynaga) and a paper presenting our empirical performance analysis on some of the major graph database on the current market.
I spent the last week at Prague, Czech Republic, to present my paper entitled “An Analytics-Aware Conceptual Model For Evolving Graphs”. More details on the paper could be found in my previous article.
In this post I will focus more on the trends, and share some of the lessons I learned during this nice travel.
While it’s not necessary to be dirty, this film tells us one clear thing: you’re stronger with a small team of specialists rather than with a big group of clones. More: you can achieve impossible missions.
We can observe this in innovation every time it comes to reach great, ambitious, disruptive business objectives. It’s a matter of mastering the market context, the behavior of the customers, the way value can be created, to go outside the standard tracks, to know the channels to reach your targets and to exploit every single advantage you have in front of your competitors, might it be in term of timing, vision or technology.
In this blog post we briefly describe our new contribution to the big data domain, especially, graph storage and querying. This work was accepted for publication at 2013 ASE/IEEE International Conference on Big Data.
This last Tuesday EURA NOVA hosted an interesting Cassandra meetup. Several tech enthusiasts and Cassandra fans have met each other for two talks: I briefly introduced what are the challenges and potential solution when building a distributed graph layer on top of Cassandra, the second talk, presented by Ansar Rafique, was a general introduction to Cassandra and some performance comparisons against MySQL. Ansar is a PhD student at the department of Computer Science of the Katholieke Universiteit Leuven – Language technology and middleware taskforce (LANTAM) of the DistriNet research group. The talk presented the result of Ansar’s previous researches at Cinnober Financial Technology about factors influencing Read/Write operation in MySQL and Cassandra.
I have been working now for more than 6 months at EURA NOVA, and this article is the opportunity for me to share what I consider to be a key factor of success regarding my integration in the company and the conduct of my work : The way we are creating links and sharing knowledge between colleagues.
A few weeks ago, while we were building our high performance computing grid over Graphical Process Unit (GPU), @Nam-Luc enunciated this sentence in order to spotlight one of the most crucial element in a project, whatever it is: the potential irreversibility of a tool choice.