Project-Team:MOAIS

Project-Team Moais

Members

Overall Objectives

Introduction

Research Program

New Software and Platforms

New Results

Scheduling semi-malleable jobs to minimize mean flow time
Elements of Design for Containers and Solutions in the LinBox Library
Scheduling Data Flow Program in XKaapi: A New Affinity Based Algorithm for Heterogeneous Architectures
Evaluation of OpenMP Dependent Tasks with the KASTORS Benchmark Suite
Sparse Polynomial Interpolation Codes and their decoding beyond half the minimal distance
A Spatiotemporal Data Aggregation Technique for Performance Analysis of Large-scale Execution Traces
Scheduling independent tasks on multi-cores with GPU accelerators
A Flexible Framework for Asynchronous In Situ and In Transit Analytics for Scientific Simulations
Generic Deterministic Random Number Generation in Dynamic-Multithreaded Platforms

Bilateral Contracts and Grants with Industry

Partnerships and Cooperations

Dissemination

Bibliography

Publications of the year

Inria | Raweb 2014 | Presentation of the Project-Team MOAIS | MOAIS Web Site


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2014 Project-Team Activity Report

MOAIS

PrograMming and scheduling design fOr Applications in Interactive Simulation

Research centre: Grenoble - Rhône-Alpes

In partnership with: CNRS, Institut polytechnique de Grenoble, Université Pierre Mendes-France (Grenoble), Université Joseph Fourier (Grenoble)
In collaboration with: Laboratoire d'Informatique de Grenoble (LIG)

Field: Networks, Systems and Services, Distributed Computing
Theme: Distributed and High Performance Computing

Keywords: Scheduling, Interactive Computing, Parallel And Distributed Algorithms, High Performance Computing, Fault Tolerance, Parallel Programming Model