Parallel Computing is at the verge of a new era. Multi-core processors make parallel computing a fundamental skill required by all computer scientists. At the same time, high-end systems have surpassed the Peta? op barrier, and s- ni? cant e? orts are devoted to the development of hardware and software te- nologies for the next-generation Exascale systems. To reach this next stage, processor architectures, high-speed interconnects and programming models will go through dramatic changes. The Message Passing Interface (MPI) has been the most widespread programming model for parallel systems of today. A key questions of upcoming Exascale systems is whether and how MPI has to evolve inordertomeettheperformanceandproductivitydemandsofExascalesystems. EuroMPI is the successor of the EuroPVM/MPI series, a ? agship conf- ence for this community, established as the premier international forum for - searchers, usersandvendorsto presenttheir latestadvancesinMPIandmessage th passingsystemingeneral. The17 EuropeanMPIusersgroupmeetingwasheld in Stuttgart during September 12-15, 2010. The conferencewasorganizedbythe High Performance Computing Center Stuttgart at the University of Stuttgart. ThepreviousconferenceswereheldinEspoo(2009), Dublin(2008), Paris(2007), Bonn(2006), Sorrento(2005), Budapest(2004), Venice(2003), Linz(2002), S- torini (2001), Balatonfured (2000), Barcelona (1999), Liverpool (1998), Krakow (1997), Munich (1996), Lyon (1995) and Rome (1994). The main topics of the conference were message-passing systems especially MPI, performance, scalability and reliability issues on very large scale systems.
Inhaltsverzeichnis
Large Scale Systems. - A Scalable MPI_Comm_split Algorithm for Exascale Computing. - Enabling Concurrent Multithreaded MPI Communication on Multicore Petascale Systems. - Toward Performance Models of MPI Implementations for Understanding Application Scaling Issues. - PMI: A Scalable Parallel Process-Management Interface for Extreme-Scale Systems. - Run-Time Analysis and Instrumentation for Communication Overlap Potential. - Efficient MPI Support for Advanced Hybrid Programming Models. - Parallel Filesystems and I/O. - An HDF5 MPI Virtual File Driver for Parallel In-situ Post-processing. - Automated Tracing of I/O Stack. - MPI Datatype Marshalling: A Case Study in Datatype Equivalence. - Collective Operations. - Design of Kernel-Level Asynchronous Collective Communication. - Network Offloaded Hierarchical Collectives Using ConnectX-2 s CORE-Direct Capabilities. - An In-Place Algorithm for Irregular All-to-All Communication with Limited Memory. - Applications. - Massively Parallel Finite Element Programming. - Parallel Zero-Copy Algorithms for Fast Fourier Transform and Conjugate Gradient Using MPI Datatypes. - Parallel Chaining Algorithms. - MPI Internals (I). - Precise Dynamic Analysis for Slack Elasticity: Adding Buffering without Adding Bugs. - Implementing MPI on Windows: Comparison with Common Approaches on Unix. - Compact and Efficient Implementation of the MPI Group Operations. - Characteristics of the Unexpected Message Queue of MPI Applications. - Fault Tolerance. - Dodging the Cost of Unavoidable Memory Copies in Message Logging Protocols. - Communication Target Selection for Replicated MPI Processes. - Transparent Redundant Computing with MPI. - Checkpoint/Restart-Enabled Parallel Debugging. - Best Paper Awards. - Load Balancing for Regular Meshes on SMPs with MPI. - Adaptive MPIMultirail Tuning for Non-uniform Input/Output Access. - Using Triggered Operations to Offload Collective Communication Operations. - MPI Internals (II). - Second-Order Algorithmic Differentiation by Source Transformation of MPI Code. - Locality and Topology Aware Intra-node Communication among Multicore CPUs. - Transparent Neutral Element Elimination in MPI Reduction Operations. - Poster Abstracts. - Use Case Evaluation of the Proposed MPIT Configuration and Performance Interface. - Two Algorithms of Irregular Scatter/Gather Operations for Heterogeneous Platforms. - Measuring Execution Times of Collective Communications in an Empirical Optimization Framework. - Dynamic Verification of Hybrid Programs. - Challenges and Issues of Supporting Task Parallelism in MPI.
