Sunday, June 24, 2007

Grid-HPC WG Meeting

June 28th, 14:00-16:00 - Grid-HPC Work Group meeting

Location: IGT Offices, Maskit 4, 5th Floor, Hertzliya

Agenda:

14:00-14:15: OPENING - Avner & Guy

14:15-14:50:

DEBUGGING AND OPTIMIZING APPLICATIONS FOR MULTICORE MPP ARCHITECTURES

Speaker:
Jacques Philouze, Vice President Sales & Marketing, Allinea

Abstract:
As two, four and potentially eight-core processors become the norm, the defacto HPC architecture is tending towards large clusters of modest 8-16 core shared-memory servers, potentially with co-processing devices (eg. GPGPUs, FPGAs, Clearspeed). Programming these machines optimally presents a number of challenges, and applications that use a mixed programming models are now becoming commonplace.
In this presentation we will discuss the challenges facing today's HPC application developers, and the need for simple tools that can address mixed programming models. We will present new multicore features of Allinea's Distributed Debugging Tool (DDT) and Optimisation and Profiling Tool (OPT), and discuss our aims to provide a consolidated, scalable, yet intuitive framework for HPC developers .

14:50-15:00: BREAK

15:00-15:35:

FastDL - Cluster Computing with IDL

Timely Visualization and Analysis of Large Data Sets Using IDL and Parallel Computing



Speaker:

Arie Rubin M.Sc.E.E.

IIT-Image Information Technologies (Represents ITT VIS, Boulder Colorado USA)

Anstract:

Scientists exploring fluid and particle dynamics, high-energy and plasma physics, astrophysics and space sciences, biophysics, protein folding and medical science are challenged to visualize and analyze increasingly complex data. With FastDL scientists and developers can run IDL visualization and analyses applications in parallel on cost-effective Linux clusters, significantly shortening the time required to get results. FastDL is comprised of two independent components that address the varying needs of parallel data analysis and visualization applications: TaskDL and mpiDL.TaskDL allows users to run IDL procedures on multiple machines simultaneously by collecting different remote processors together as a task farm. mpiDL provides a Message Passing Interface (MPI) within IDL for synchronizing and passing data between nodes during program execution. GRIDL – Grid Computing with IDL Running parallel IDL applications on a set of nodes communicating over WAN.


15:35-15:45: DISCUSSION AND CONCLUDING REMARKS

To register, please send your contact details to: info@grid.org.il

We are looking forward to seeing you!

Best Regards,

Guy Tel-Zur

Grid-HPC WG Director

IGT

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