MUSEPAT program

The MUSEPAT 2013 will take one and half days, Aug 19th full day and the morining of Aug 20th.

Monday 19 Tuesday 20
9:30 - 11:00

Opening Session

Keynote 1: "Conflict-free Data Types"
by Nuno Preguiça, Universidade Nova de Lisboa

Keynote 2: "Understand your parallel program challenges and potential before you write it"
by Zakhar A. Matveev, Intel

11:00 - 11:30

Coffee Break

Coffee Break
11:30 - 13:00

Session 1: Performance Analysis and Algorithms

Self-timed Scheduling and Execution of Nonlinear Pipelines with Parallel Stages
Lars Lucas, Tobias Schuele, Wolfgang Schwitzer

MVA-based Probabilistic Model of Shared Memory with Round Robin Arbiter for Predicting Performance With Heterogeneous Workload
Ryo Kawahara, Kouichi Ono, Takeo Nakada

MHS2 : A Map-Reduce heuristic-driven minimal hitting set search algorithm
Nuno Cardoso, Rui Abreu

Session 3: Programming Models and Optimization

Handling Parallelism in a Concurrency Model
Mischael Schill, Sebastian Nanz, Bertrand Meyer

On the Relevance of Total-Order Broadcast Implementations in Replicated Software Transactional Memories 
Tiago M. Vale, Ricardo J. Dias, Joao M. Lourenco

How to Cancel a Task
Alexey Kolesnichenko, Sebastian Nanz, Bertrand Meyer



and Lunch (included)
14:30 - 16:00

Session 2: Testing and Debugging

Automatically Repairing Concurrency Bugs with ARC
David Kelk, Kevin Jalbert, Jeremy Bradbury

A Modular Approach to Model-Based Testing of Concurrent Programs
Richard Carver, Yu Lei

A Dynamic Approach to Isolating Erroneous Event Patterns in Concurrent Program Executions
Jing Xu, Yu Lei, Richard Carver, David Kung

16:00 - 16:30

Coffee Break

16:30 - 18:00

Free Minds Corner 

Keynote Speakers

Nuno Preguiça, Universidade Nova de Lisboa, Portugal

Title: Conflict-free Data Types

Abstract: Replicating shared data is a fundamental mechanism for achieving fault-tolerance, availability and performance in large-scale distributed systems. Eventual consistency sidesteps the (foreground) synchronisation bottleneck, but leads to solutions that are ad-hoc, error-prone, and difficult to prove correct. In this talk, I will introduce Conflict-Free Replicated Data Types (CRDTs), a simple and theoretically sound solution for replicating shared data. A CRDT is a data types that demonstrates some simple properties: monotonicity in a semi-lattice and/or commutativity of concurrent operations.  Any CRDT provably converges, provided all replicas eventually receive all operations. A CRDT requires no synchronisation: an update can execute immediately in a replica, with synchronisation being performed asynchronously. I will present how CRDTs are being used in practice in large-scale distributed systems and discuss how they can be used in other setting, such as modern multicore systems. 

Bio: Nuno Preguiça has received a PhD degree from Universidade Nova de Lisboa (2003). Since 2003 he is Assistant Professor at UNL and a Research at CITI. In 2011 he spent his sabbatical leave at Inria. His primary research interests have been on data management, focusing on solution for groupware, mobile computing and cloud computing. His current focus is on solutions for cloud computing and multicore systems. He has received a Google Research Award in 2009 for his work on solutions for cloud data management based on CRDTs.

Zakhar A. Matveev, Intel

Title: Understand your parallel program challenges and potential before you write it

Abstract: In today's world, parallel multi-core and many-core hardware is everywhere, but parallel programming is still considered challenging by software developers and architects.  We present a novel modeling methodology which helps overcome these challenges and understand trade-offs in the creation of effective parallel applications. The modeling approach assists in identifying potential data races and explore the parallel performance limits before the application is made parallel.  It is realized in the Intel® Advisor XE toolset.  Close correspondence between a serial program and an embedded parallel execution model makes this approach beneficial in educational settings. The approach enables a gentle introduction of students to the concepts of parallel computing. 

Bio: Zakhar A. Matveev is a product architect at Intel® Software and Services Group, Intel Russia. Zakhar received his PhD in Computer Science from the Nizhny Novgorod State University of Architecture and Civil Engineering (2011). From the Nizhny Novgorod State University named after N.I. Lobachevsky he received M.S. degree in Mathematical Modeling and Computer Science (2005) and Bachelor degree in Math and Computer Science (2003).  His professional interests are in the areas of parallel programming, software performance optimization, user interface design and usability.