Page History

Restaurants name, place and time and workshop buses schedule.

This event is supported by INRIA, UIUC, NCSA, ANL, as well as by EDF

Main Topics	Schedule	Speaker	Affiliation	Type of presentation	Title (tentative)	Download

Dinner Before the Workshop	8:00 PM	Registered people only			RESTAURANT « CAFE DE LA PAIX » 1 place de la République - 3500 RENNES (Metro station « République ») Tél : 02 99 79 47 11

Workshop Day 1	Wednesday June 13th
					TITLES ARE TEMPORARY (except if in bold font)
Registration	08:30
Welcome and Introduction	09:00	Marc Snir + Franck Cappello	INRIA&UIUC	Background	Welcome, Workshop objectives and organization	Logistic_Workshop_schedule.pdf
	09:15	Bertrand Braunschweig	INRIA	Background	Welcome to INRIA Rennes	welcome petascale workshop braunschweig.pdf
	09:30	Thierry Priol	INRIA	Background		HPC_Inria-priol.pdf
Sustained Petascale Chair: Gabriel Antoniu	09:45	Bill Kramer	NCSA	Background	Blue Waters UPDATE and performance metrics	Kramer - BW_Update_Joint_Lab_June12.pdf
	10:15	Break
	10:45	Romain Dolbeau	CAPS Entreprise	Background	Programming Heterogeneous Many-cores Using Directives	OpenACC-2012.pdf
	11:15	Marc Snir	ANL	Background	BlueGene Q: First impression	Rennes Snir.pdf
	11:45	Robert Ross	ANL	Background	Big Data and Scientific Computing	ross_jointlab-data-2012-06-13.pdf
	12:15	Lunch
Mini Workshop1
Fault tolerance Chair: Franck Cappello	13:30	Sanjay Kale and Marc Snir	UIUC, ANL	Background	Fault tolerance needs at NCSA and ANL
	14:00	Ana Gainaru	NCSA	Joint Result	A detailed analysis of fault prediction results and impact for HPC systems	againaru_jointlab.pdf
	14:30	Amina Guermouche	INRIA	Joint Result	Unified Model for Assessing Checkpointing Protocols at Extreme-Scale	AminaGuermouche.pdf
	15:00	Break
	15:30	Mehdi Diouri	INRIA	Joint Results	Power and Energy consumption in Fault Tolerance protocols	MehdiDiouri.pdf
	16:00	Tatiana Martsinkevich	INRIA	in progress	On distributed recovery for SPMD deterministic HPC applications	martsinkevich distributed recovey.pdf
	16:30	Sanjay Kale	UIUC	Result	The recovery and rise of checkpoint/restart
	17:00	Discussions			How to address Petascale fault tolerance needs
	18:00	Adjourn
Mini Workshop2
I/O and BigData Chair: Rob Ross	13:30	Bill Kramer and Rob Ross	UIUC, ANL	Background	I/O and BIGDATA needs at NCSA and ANL
	14:00	Matthieu Dorier	INRIA	Joint Result	In-Situ Interactive Visualization of HPC Simulations with Damaris	DORIER-JLPC-June2012.pdf
	14:30	Francieli Zanon Boito	UFRGS/INRIA	Joint Result	Investigating I/O approaches to improve performance and scalability of the Ocean-Land-Atmosphere Model	Logistic_Workshop_schedule.pdf
	15:00	Break
	15:30	Dries Kimpe	ANL	Background	The Triton Data Model	dkimpe-asg-model.pdf
	16:00	---	---	---
	16:30	---	---	---
	17:00	Discussions			How to address Petascale I/O and Big Data needs
	18:00	Adjourn

Workshop Day 2	Thursday June 14th

Math for HPC Chair: Marc Snir	08:30	Frederic Vivien	INRIA	Joint Result	Combining Process Replication and Checkpointing for Resilience on Exascale Systems	2012-06-14_UIUC_FredericVivien.pdf
	09:00	Paul Hovland	ANL	Background	Computational Foundations of Automatic Differentiation	Hovland_Foundations2012.pdf
	09:30	Laurent Hascoet	INRIA	Joint Results	Gradient of MPI-parallel codes	Hascoet_slidesRennes.pdf
	10:00	Break
Programming languages and performance modeling Chair:	10:30	Rajeev Thakur	ANL	Background	Recent Activities in Programming Models and Runtime Systems at ANL	Rajeev.pdf
	11:00	Sanjay Kale	UIUC	Background	Charj: compiler supported language with an adaptive runtime
	11:30	Torsten Hoefler	NCSA	Background	The Sustained Petascale Performance Applications on Blue Waters Performance Considerations and Modeling	hoefler-prac-apps.pdf
	12:00	Lunch

Mini Workshop3
Numerical libraries Chair: Paul Hovland	13:30	Paul Hovland and Bill Gropp	UIUC, ANL	Background	Numerical libraries needs at NCSA and ANL
	14:00	Laura Grigori	INRIA	Joint Result	Hybrid static/dynamic scheduling for already optimized dense matrix factorization	HybridSchedCA_IPDPS12-1.pdf
	14:30	François Pelegrini	INRIA	Joint Result	Introducing PaMPA	presentation-11.pdf
	15:00	Break
	15:30	Jocelyne Erhel	INRIA	Background	Solving linear systems arising from flow simulations in 3D Discrete Fracture Networks
	16:00	Daisuke Takahashi	U. Tsukuba	Joint Result	An Implementation of Parallel 3-D FFT with 1.5-D Decomposition	takahashi-1.pdf
	16h30	Adrien Remy	INRIA	Joint Result	Solving general dense linear systems on hybrid multicore-GPU systems.	Jointlab_REMY.pdf
	17:00	Discussions			How to address Petascale Numerical Libraries needs
	17:55	Adjourn

Mini Workshop4
Programing Models Chair: Sanjay Kale	13:30	Rajeev Thakur and Sanjay Kale	UIUC, ANL	Background	Programming model needs at NCSA and ANL
	14:00	Jean-François Mehaut	INRIA	Joint Result	Load Balancing for Parallel Multi-core Machines with Non-Uniform Communication Costs	francieliboito_jointlabworkshop.pdf
	14:30	Brice Goglin	INRIA	Background	Bringing hardware affinity information into MPI communication strategies	20120614-JLPC-MPIaffinities-1.pdf
	15:00	Break
	15:30	Thomas Ropars	EPFL	Background	Towards efficient collective operations on the Intel SCC	broadcast_scc.pdf
	16:00	Alexandre Duchateau	INRIA	Joint Result	Hydra : Generation and Tuning of Parallel Solutions for Linear Algebra	Duchateau_Jointlab_June_2012.pdf
	16:30	Discussions			How to address Petascale programing model needs
	17:30	Adjourn

	18:00	Banquet			@ Saint Malo

Workshop Day 3	Friday June 15th

Mini Workshop5
Mapping and Scheduling Chair: Torsten Hoefler	08:30	BIll Kramer and Marc Snir	UIUC, ANL	Background	Mapping and Scheduling needs at NCSA and ANL	BW JLPC-June2012-Breakout-Mapping and Scheduling.pdf
	09:00	François Teyssier	INRIA	Joint Result	Load balacing and affinities between processes with TreeMatch in Charm++ : preliminary results and prospects
	09:30	Sébastien Fourestier	INRIA	Background	Latest improvements to Scotch and ongoing collaborations
	10:00	Torsten Hoefler	NCSA --> ETH	Background	On-node and off-node Topology Mapping for Petascale Computers
	10:30	Joseph Emeras, Olivier Richard, Cristian Ruiz	INRIA	Background	Jobs Resource Utilization as a Metric for Clusters Comparison and Optimization
	11:00	Discussions			How to address Petascale Mapping and Scheduling needs
Mini Workshop6
HPC/Cloud Chair: Kate Keahey and Bogdan Nicolae	08:30	Kate Keahey (main speaker) and Franck Cappello	ANL, INRIA	Background	HPC Cloud	HPC Cloud ANL v1.pdf
	09:00	Gabriel Antoniu	INRIA	Joint Result	A Performance Evaluation of Azure and Nimbus Clouds for Scientific Applications
	09:30	Frederic Desprez	INRIA	Background	Budget Constrained Resource Allocation for Non-Deterministic Workflows on a IaaS Cloud
	10:00	Bogdan Nicolae	INRIA	Joint Results	A Hybrid Local Storage Transfer Scheme for Live Migration of I/O Intensive Workloads
	10:30	Derrick Kondo	INRIA	Result	Characterization and Prediction of Host Load in a Google Data Center
	11:00	Discussions			How to address HPC Cloud needs

	12:00	Franck Cappello and Marc Snir			Discussion and Closing

	12:30	Lunch

Abstracts

Romain Dolbeau: Programming Heterogeneous Many-cores Using Directives

...

We highlight different algorithms for solving general dense linear systems using LU decomposition on multicore systems accelerated with multiple GPUs. We present a set of techniques to achieve high efficiency on these architectures and we compare the resulting algorithms in terms of performance, speed-up and accuracy. Finally we present some ongoing work with the goal to move to a larger scale using clusters of GPUs.

Wiki Markup*Derrick Kondo: Characterization and Prediction of Host Load in a Google Data Center* \
[Joint work with Sheng Di, Walfredo Cirne\]

Characterization and prediction of system load is essential for optimizing its performance. We characterize and predict host load in a real-world production Google data center, using a detailed trace of over 25 million tasks across over 12,500 hosts. In our characterization, we present valuable statistics and distributions of machine’s maximum load, queue state and relative usage levels. Compared to traditional load from Grids and other HPC systems, we ?nd that Google host load exhibits higher variance due to the high frequency of small tasks. Based on this characterization, we develop and evaluate different methods of machine load prediction using techniques such as autoregression, moving averages, probabilistic methods, and noise ?lters. We ?nd that a linear weighted moving average produces accurate predictions with a 80%-95% success rate, outperforming other methods by 5%-20%. Surprisingly, this method outperforms more sophisticated hybrid prediction methods, which are effective for traditional Grid loads but not data center loads due to its more frequent and severe ?uctuations.

...

Child pages

Versions Compared

Old Version 115

New Version Current

Key

Restaurants name, place and time and workshop buses schedule.

This event is supported by INRIA, UIUC, NCSA, ANL, as well as by EDF

TITLES ARE TEMPORARY (except if in bold font)

Abstracts