Tuesday 28th of August, 16:00

The seven proposal made at the deadline,  Saturday, 25 August, 12:30 have been accepted the programme is therefore as follows:

All presentations will last 10 minutes maximum. A mentor is associated to each presentation to briefly review the will review the slides.

Allowing 10 minutes per presentation obliges to postpone the next two hours of the day by 15 minutes.

Session Chair: Ivica Puljak

 

Name

Presentation title

Description

Mentor

Andrzej Nowak

Multi-core and tera-scale computing

A summary of the benefits of multi-core computing and challenges ahead of HPC related to current trends in CPU design.

Andreas Hirtsius

Emir Imamagic

Helping grid site admins survive day2day operations

Presentation summarizes every day problems with grid site administration (from the perspective of site admin). Furthermore, short description and demo of prototype monitoring solution done within Grid Service Monitoring Working Group are given.

Heinz Stockinger

George Serbanut

Using Parallel Threads: Why? When? Where?

Since people were interested why I used more than two parallel threads when I had only two processing cores, and because I was asked to share that information with the others, I decided to create just few slides to help people to understand this subject better.

Ivica Puljak

Guillaume Dargaud

Cold weather software

Slides from 3 years of work in Antarctica doing atmospheric science, including the first winter over at the new Concordia station, far up on the Antarctic plateau.

François Fluckiger

Jiri Kral

Detector Control System of SDD in ALICE

Overview of how the experiment hardware is operated and status data acquired and processed. Most possibly will include a life demonstration of partially enabling the detector.

Rudi Früwirth

Jose Miguel Dana Perez

Auto deployment and configuration of Grid resources on demand

One of our main fields of interest in CERN openlab is virtualization. Using virtualization we can deploy virtual machines on demand and adapt their configuration to users' requirements. In addition, we are working together with HP Labs (Palo Alto, USA) and we are using one of their projects (Tycoon) in order to reach a market driven approach.

Andreas Hirtsius

Manfred Muecke

Algorithms on Speed

Programmable Logic (FPGAs) enables implementation of algorithms in hardware, providing orders of magnitude better performance when compared to software running on conventional CPUs. But why? And is it true for all algorithms? And is it just for hardware cracks, or is there a way to access this option from conventional programming environments? We will see :-)

Rudi Früwirth