Project-Team:STORM

Project-Team Storm

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Parallel Computing and Architectures
Scientific and Societal Stakes
Towards More Abstraction

Application Domains

Application domains benefiting from HPC
Application in High performance computing/Big Data

Highlights of the Year

New Software and Platforms

Chameleon
hwloc
KaStORS
KStar
AFF3CT
MORSE
SwLoc
VITE
PARCOACH
StarPU

New Results

Multi-Valued Expression Analysis for Collective Checking
Hiding the latency of MPI communication
Performance monitoring and Steering Framework
Heterogeneous task scheduling
Task scheduling with memory constraints
Leveraging compiler analysis for task scheduling
Failure Tolerance for StarPU
Static and Dynamic Adaptation of Task parallelism
AFF3CT
Matlab API for AFF3CT
InKS framework
HPC Big Data Convergence
Hierarchical Tasks
ADT Gordon
StarPU in Julia
Simulation of OpenMP task based programs
OpenMP enabled version of Chameleon

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year

Inria | Raweb 2019 | Presentation of the Project-Team STORM | STORM Web Site


	PDF	e-Pub

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Section: New Results

HPC Big Data Convergence

A Java interface for StarPU has been implemented and allows to execute Map Reduce applications on top of StarPU. We have made some preliminary experiments on Cornac, a big data application for visualising huge graphs.

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