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Dinner Before the Workshop

7:30 PM

Only people registered for the dinner

 

 

Valpré hotel

 

 

 

 

 

 

 

 

Workshop Day 1

Wednesday June 12th

 

 

 

 

 

 

 

 

 

 

TITLES ARE TEMPORARY (except if in bold font)

 

Registration

08:00

 

 

 

 

 

Welcome and Introduction

Amphitheatre

08:30

Marc Snir + Franck Cappello

INRIA&UIUC&ANL

Background

Welcome, Workshop objectives and organization

 

 

08:45

Bill Kramer

UIUC

Background

NCSA updates and vision of the collaboration

 

 

09:00

Marc Snir

ANL

Background

ANL updates vision of the collaboration

aics-130612.pptx

 

09:15

Frederic Desprez

Inria

Background

INRIA updates and vision of the collaboration

 

Big systems
Chair: Christian Perez

9:30

Bill Kramer

UIUC

Background

Update on BlueWaters

 

 

10:00

Break

 

 

 

 

 

10:30

Mitsuhisa Sato

U. Tsukuba & AICS

Background

AICS and the K computer

aics-130612.pptx

CANCELED

11:00

Paul Gibbon

Juelich

Background

Meeting the Exascale Challenge at the Juelich Supercomputing Centre.

 

Resilience&fault tolerance  and simulation
Chair: Franck Cappello

11:00

Marc Snir

ANL&UIUC

Report

ICIS report on Resilience

 

 11:30Vincent BaudouiTotal & ANLJoint-ResultsRound-off error and silent soft error propagation in exascale applications 

 

12:00

Lunch

 

 

 

 

Numerical Algorithms
Chair: Frederic Desprez

13:30

Bill Gropp

UIUC

Background

Topics for Collaboration in Numerical Libraries

 


14:00

Paul Hoveland

ANL

Background

Argonne strategic plan in applied math

 

 

14:30

Marc Baboulin

INRIA

Background

Using condition numbers to assess numerical quality in high-performance computing applications

 

 

15:00

Luke Olson

UIUC 

Background

Opportunities in developing a more robust and scalable multigrid solver

 

 15:30Break    

 

16:00

Frederic Nataf

INRIA&P6

Background

Toward black-box adaptive domain decomposition methods

 

Resilience&fault tolerance  and simulation

Chair: Franck Cappello

16:30Bogdan NicolaeIBMJoint Result

AI-Ckpt: Leveraging Memory Access Patterns for Adaptive Asynchronous Incremental Checkpointing

 
 17:00Martin QuisonINRIAResultImproving Simulations of MPI Applications Using A Hybrid Network Model with Topology and Contention Support 

 

17:30

Adjourn

 

 

 

 

 

18:45

Bus for Diner

 

 

 

 

 

 

 

 

 

 

 

Workshop Day 2

Thursday June 13th

 

 

 

 

 

 

 

 

 

 

 

 

Programming Models
Chair: Frederic Desprez

08:30

Jean-François Mehaut 

INRIA

Result

Progresses in the European FP7 Mont-Blanc 1 project and objectives of its follow up: Mont-Blanc 2

 

 

09:00

Rajeev Thakur

ANL

Background

Update on MPI and OS/R Activities at Argonne

 

 

09:30

Andra Ecaterina Hugo

INRIA

Results 

Composing multiple StarPU applications over heterogeneous machines: a supervised approach

 

 

10:00

Celso Mendes

UIUC

Background

Dynamic Load Balancing for Weather Models via AMPI

 

 

10:30

Break

 

 

 

 

Big Data, I/O, Visualization
Chair: Kate Keahey

11:00

Dries Kimpe

ANL

Results

Triton: Exascale Storage

 

 

11:30

Gilles Fedak

INRIA

Result

Active Data: A Programming Model to Manage Data Life Cycle Across Heterogeneous Systems and Infrastructures

 

 

12:00

Matthieu Dorrier

INRIA

Joint Result

Data Analysis of Ensemble Simulations: an In Situ Approach using Damaris

 

 

12:30

Ian Foster

ANL

Background

Compiler optimization for distributed dynamic data flow programs

 

 

13:00

Lunch

 

 

 

 

 

 

 

 

 

 

 

Mini Workshop1

Amphitheatre

 

 

 

 

 

 

Resilience
Chair: Marc Snir 

14:00

Ana Gainaru

UIUC

Results

Challenges in predicting failures on the Blue Waters system.

 

 

14:30

Xiang Ni

UIUC 

Results

ACR: Automatic Checkpoint/Restart for Soft and Hard Error Protection.

 

 

15:00

Tatiana Martsinkevich

INRIA & ANL

Result

On the feasibility of message logging in hybrid hierarchical FT protocols

 

 

15:30

Mohamed Slim Bouguerra

INRIA & ANL

Result

Investigating the probability distribution of false negative failure alerts in HPC systems

 

 

16:00

Break

 

 

 

 

 

16:30

Amina Guermouche

UVSQ

Result 

Multi-criteria Checkpointing Strategies: Response-time versus Resource Utilization

 

 

17:00

Thomas Ropars

EPFL

Result

Towards efficient replication of HPC applications to deal with crash failures

 

 

17h30

Mehdi Diouri

INRIA 

Result

ECOFIT: A Framework to Estimate Energy Consumption of Fault Tolerance Protocols for HPC Applications

 

 

18:00

Adjourn

 

 

 

 

 

 

 

 

 

 

 

Mini Workshop2

Room: Saint Maur

 

 

 

 

 

 

Numerical Algorithms and Libraries
Chair:  Bill Gropp 

14:00

Jean Utke

ANL

Result

Designing and implementing a tool-indedendent, adjoinable MPI wrapper library

 

 

14:30

Laurent Hascoet

INRIA

Result

The adjoint of MPI one-sided communications

 

 

15:00

Stefan Wild,

ANL

Result

Loud computations? Noise in iterative solvers

 

 

15:30

Jed Brown

ANL

Result

Vectorization, communication aggregation, and reuse in stochastic and temporal dimensions

 

 

16:00

Break

 

 

 

 

 

16:30

Yushan Wang

INRIA P11

Result

Accelerating incompressible fluid flows simulations using SIMD or GPU computing

 

 

17:00

Frederic Hecht

INRIA/P6

Result

FreeFem++, a user language to solve PDE.

 

 

18:00

Adjourn

 

 

 

 

 

 

 

 

 

 

 

 

18:45

Bus for diner

 

 

Lyon

 

 

 

 

 

 

 

 

Workshop Day 3


Friday June 14th

 

 

 

 

 

 

 

 

 

 

 

 

Mini Workshop1 (cont.)

Room: Les essarts

 

 

 

 

 

 

Resilience
Chair:  Franck Cappello.

08:30

Di Sheng

INRIA

Result

Optimization of Google Cloud Task Processing with Checkpoint-Restart Mechanism 

 

 

09:00

Guillaume Aupy

INRIA

Result

On the Combination of Silent Error Detection and Checkpointing

 

Mini Workshop3 

09:30

Guillaume Mercier

INRIA

Result

Topology Management and MPI Implementations Improvements

 

 10:00Break    

Programming and Scheduling 
Chair:  Rajeev Thakur

10:30

Vincent Lanore

INRIA

Result

Static 2D FFT adaptation through a component model based on Charm++

 

 

11:00

Anne Benoit

INRIA

Result

Energy-efficient scheduling

 

 

11:30

François Tessier

INRIA

Result

Communication-aware load balancing with TreeMatch in Charm++

 

 

12:00

Closing

 

 

 

 

 

12:30

Lunch

 

 

 

 

 

 

 

 

 

 

 

Mini Workshop2 (cont.)

Room: Saint Maur

 

 

 

 

 

 

Numerical Algorithms and Libraries 
Chair:  Paul Hovland

08:30

François Pellegrini

INRIA

Result

Shared memory parallel algorithms in Scotch 6

 

 

09:00

Luc Giraud

INRIA 

Result

TBA

 

Mini Workshop4

09:30

Kate Keahey

ANL

Result

TBA

 

Clouds 
Chair:  Frederic desprez

10:00

Break

 

 

 

 


10:30

Jonthan

INRIA

Result

SimGrid Cloud Broker: Simulation of Public and Private Clouds

 

 

11:00

Christian Perez

INRIA

ResultTBA

On Component Models to Deploy Application on Clouds

 

 

11:30

Eddy Caron

INRIA

Result

Seed4C: Secured Embedded Element and Data privacy for Cloud Federation

 

 

12:00

Closing

 

 

 

 

 

12:30

Lunch

 

 

 

 

...

Distributed, dynamic data flow is an execution model well-suited for many large-scale parallel applications, particularly scientific simulations and analysis pipelines running on large, distributed-memory clusters. In this paper we describe compiler optimization techniques and an intermediate representation for distributed dynamic data flow programs. These techniques are applied to Swift/T, a high-level declarative language that allows flexible data flow composition of functions written in other programming languages such a C or Fortran. We show that compiler optimization can reduce communication overhead by 70-93% on distributed memory systems, making the high-level language competitive with hand-coded coordination logic for certain common application styles

Gille Fedak

On Component Models to Deploy Application on Clouds

Clouds have become a complex ecosystem, providing many kinds of virtual machines (with different capabilities), of usage (on demand, spot instances, reservation), of data storage, etc. Moreover, some clouds provides worldwide "regions", enabling large scale distributed applications. Users also have very different requirements, potentially from execution to another such as minimizing execution time, respecting budget constraints, etc. Therefore, automatically and efficiently deciding how to map an application to a set of VM is a difficult challenge. This talk will discuss how the European PaaSage project as well as the French ANR MapReduce are using component models to describe and map an application structure, independently of anycloud, to an actual cloud