Primeur magazine

Edition: flash - Issue: 2017-03-21

Quantum computing

Researchers from Oak Ridge, the University of Tenessee and USC published "A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers" . Current Deep Learning approaches have been very successful using convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers. The authors see three limitations of this approach are: 1. they are based on a simple layered network topology, i.e., highly connected layers, without intra-layer connections; 2. the networks are manually configured to achieve optimal results, and 3. the implementation of neuron model is expensive in both cost and power. In a paper published on Arvid the authors, evaluate deep learning models using three different computing architectures to address these problems: quantum computing to train complex topologies, high performance computing (HPC) to automatically determine network topology, and neuromorphic computing for a low-power hardware implementation. Read further...

Focus on Europe

First French-Japanese-German Workshop on Programming and Computing for Exascale and beyond will be held at the Embassy of France in Tokyo - April 5th 2017 - Tokyo, Japan. Following the "Extreme Performance Computional Science" workshop held in April 2015 in Tokyo, the French "Maison de la Simulation", RIKEN, and the Embassy of France in Japan are organizing this French-Japanese-German workshop, in order gather the Computer Science community and the users of simulation and massive data analysis. The current state of French-Japanese-German collaboration in the field will be presented, especially from the perspective of the SPPEXA programme, which is funded by national agencies across the three countries (DFG, ANR and JST). This event will also be an opportunity to envision together new leads that could harbor new collaborations. Read further...
ETP4HPC has launched a new round of networking, enabling its members and HPC stakeholders to collaborate together. If one is not part of ETP4HPC one can still participate. Closing date is the 21st of April. One will then collate all the forms into a Networking handbook and share it with all ETP4HPC members. Read further...
The Felix Nebula Science Cloud organises a webcast event "Launching the Helix Nebula Science Cloud Prototype Phase" on 3 April 2017. The winners of the bids to build the HNSciCloud prototypes will be announced at CERN during the "Launching the Helix Nebula Science Cloud Prototype Phase" webcast event. Read further...