Welcome to Euro-Par 2015 in Vienna
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. Euro-Par’s unique organization into topics provides an excellent forum for focused technical discussion, as well as interaction with a large, broad and diverse audience.
The 2015 edition of Euro-Par will be held in Vienna, Austria from August 24 to August 28, 2015. It will be hosted at the Vienna University of Technology and is organized by the Research Group for Parallel Computing.
Call for Papers: Euro-Par 2015
21st International European Conference on Parallel and Distributed Computing Vienna, Austria, 24-28 August 2015
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. Euro-Par’s unique organization into topics provides an excellent forum for focused technical discussion, as well as interaction with a large, broad and diverse audience. Such an event calls for the keen interest of the public and triggers discussions in various circles. Students are also expected to pay attention to the given conference and cover the main ideas and approaches in academic papers. Those who experience issues with specific terms related to technology and other spheres can order essay online. Order-Essays.com is one of the options for students.
Scope
We invite submissions of high-quality, novel and original research results in areas of parallel and distributed computing covered by the following topics:
- Support Tools and Environments
- Performance Modeling, Prediction and Evaluation
- Scheduling and Load Balancing
- Architecture and Compilers
- Parallel and Distributed Data Management
- Grid, Cluster and Cloud Computing
- Distributed Systems and Algorithms
- Parallel and Distributed Programming, Interfaces and Languages
- Multicore and Manycore Programming
- Theory and Algorithms for Parallel Computation
- Communication, Routing and Networks
- Numerical Methods and Applications
- Accelerator Computing
Submission Guidelines
Submissions in PDF format should not exceed 12 pages in the Springer LNCS style, which can be downloaded from the Springer Web site. Paper submission is handled electronically (EasyChair). The 12 pages limit is a hard limit. It includes everything (text, figures, references) and will be strictly enforced by the submission system. Complete LaTeX sources must be provided for accepted papers.
All submitted research papers and case briefs will be peer-reviewed. Only contributions that are not submitted elsewhere or currently under review will be considered.
Accepted papers will be included in the conference proceedings, published by Springer in the ARCoSS/LNCS series. Authors of accepted papers will have to sign a Springer copyright form.
Euro-Par 2015 Accepted Papers
- Alain Tchana, Noel de Palma, Ibrahim Safieddine and Daniel Hagimont. Software consolidation as an efficient energy and cost saving solution for a SaaS/PaaS cloud model
- Spiros N. Agathos, Alexandros Papadogiannakis and Vassilios V. Dimakopoulos. Targeting the Parallella
- Tiziano De Matteis, Salvatore Di Girolamo and Gabriele Mencagli. A Multicore Parallelization of Continuous Skyline Queries on Data Streams
- Klaus Kofler, Biagio Cosenza and Thomas Fahringer. Automatic Data Layout Optimizations for GPUs
- Leyuan Wang, Sean Baxter and John Owens. Fast Parallel Suffix Array on the GPU
- Huan Zhou, Kamran Idrees and José Gracia. Leveraging MPI-3 shared-memory extensions for efficient PGAS runtime systems
- Jose I. Aliaga, Joaquin Pérez and Enrique S. Quintana-Orti. Systematic Fusion of CUDA Kernels for Iterative Sparse Linear System Solvers
- Dominique Lasalle and George Karypis. Efficient Nested Dissection for Multicore Architectures
- Shahar Timnat, Maurice Herlihy and Erez Petrank. A Practical Transactional Memory Interface
- Hao-Ping Kang and Che-Rung Lee. Improving Performance of Convolutional Neural Networks by Separable Filters on GPU
- Andrey Rodchenko, Andy Nisbet, Antoniu Pop and Mikel Lujan. Effective Barrier Synchronization on Intel Xeon Phi Coprocessor
- Qi Shen, Craig Sharp, William Blewitt, Gary Ushaw and Graham Morgan. PR-STM: Priority Rule Based Software Transactions on the GPU
- Foad Lotfifar and Matthew Johnson. Feature Extraction Multi-Level Hypergraph Partitioning Algorithm
- Eric Angel, Evripidis Bampis, Vincent Chau and Kim Thang Nguyen. Non-preemptive Throughput Maximization for Speed-Scaling with Power-Down
- Enrico Calore, Jiri Kraus, Sebastiano F. Schifano and Raffaele Tripiccione. Accelerating Lattice Boltzmann Applications with OpenACC
- Ramon Nou, Alberto Miranda and Toni Cortes. Performance impacts with Reliable Parallel File Systems at Exascale level
- Ahmad Abdelfattah, Hatem Ltaief and David Keyes. High Performance Multi-GPU SpMV for Multi-component PDE-based Applications
- Nikola Markovic, Daniel Nemirovsky, Veljko Milutinovic, Osman Unsal, Mateo Valero and Adrian Cristal. Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-Core
- Kamal Sharma, Ian Karlin, Jeff Keasler, James McGraw and Vivek Sarkar. Data Layout Optimization for Portable Performance
- Joyce Whang, Andrew Lenharth and Inderjit Dhillon. Scalable Data-driven PageRank: Algorithms, System Issues & Lessons Learned
- Alvaro Estebanez, Diego R. Llanos, David Orden and Belen Palop. Moody Scheduling for Speculative Parallelization
- Stephen Moore, Devi Sudheer Chunduri, Sergiy Zhuk, Tigran Tchrakian, Ewout van den Berg, Albert Akhriev, Alberto Costa Nogueira Junior, Andrew Rawlinson and Lior Horesh. Semi-Discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling
- Michael Orr and Oliver Sinnen. A Duplicate-Free State-Space Model for Optimal Task Scheduling
- Taichiro Suzuki, Akira Nukada and Satoshi Matsuoka. Efficient Execution of Multiple CUDA Applications using Transparent Suspend, Resume and Migration
- Xavier Aguilar, Karl Fuerlinger and Erwin Laure. Automatic On-line Detection of MPI Application Structure with Event Flow Graphs
- Christian Iwainsky, Sergei Shudler, Alexandru Calotoiu, Alexandre Strube, Michael Knobloch, Christian Bischof and Felix Wolf. How many threads will be too many? On the scalability of OpenMP implementations
- Matthieu Kuhn, Guillaume Latu, Nicolas Crouseilles and Stéphane Genaud. Parallelization of an advection-diffusion problem arising in edge plasma physics using hybrid MPI/OpenMP programming
- Abdou Guermouche, Loris Marchal, Bertrand Simon and Frédéric Vivien. Scheduling Trees of Malleable Tasks for Sparse Linear Algebra
- Carlos Gómez-Calzado, Arnaud Casteigts, Alberto Lafuente and Mikel Larrea. A Connectivity Model for Agreement in Dynamic Systems
- Emmanuelle Saillard, Patrick Carribault and Denis Barthou. MPI Thread-level Checking for MPI+OpenMP Applications
- Adrien Lèbre, Jonathan Pastor and Mario Südholt. VMPlaceS A Generic Tool to Investigate and Compare VM Placement Algorithms
- Peter Thoman, Stefan Moosbrugger and Thomas Fahringer. Optimizing Task Parallelism with Library-Semantics-Aware Compilation
- Harald Servat, German Llort, Juan Gonzalez Garcia, Judit Giménez and Jesús Labarta. Low-overhead detection of memory access patterns and their time evolution
- Alessio Guerrieri and Alberto Montresor. DFEP: Distributed Funding-based Edge Partitioning
- Tobias Hilbrich, Martin Schulz, Holger Brunst, Joachim Protze, Bronis R. de Supinski and Matthias S. Mueller. Event-Action Mappings for Parallel Tools Infrastructures
- Hartwig Anzt, Edmond Chow and Jack Dongarra. Iterative Sparse Triangular Solves for Preconditioning
- Olivier Beaumont, Ikbel Belaid, Lionel Eyraud-Dubois and Juan-Angel Lorenzo-Del-Castillo. Allocating jobs with periodic demands
- Panagiotis Hadjidoukas, Panagiotis Angelikopoulos, Lina Kulakova, Costas Papadimitriou and Petros Koumoutsakos. Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification
- Matthias Diener, Eduardo Cruz, Marco Antonio Zanata Alves, Mohammad Alhakeem, Philippe Navaux and Hans-Ulrich Heiss. Locality and Balance for Communication-Aware Thread Mapping in Multicore Systems
- Mingzhe Li, Khaled Hamidouche, Xiaoyi Lu, Jian Lin and Dhabaleswar Panda. High-Performance and Scalable Design of MPI-3 RMA on Xeon Phi Clusters
- Andrew Lenharth, Donald Nguyen and Keshav Pingali. Concurrent Priority Queues are not Good Priority Schedulers
- Louis-Claude Canon and Laurent Philippe. On the Heterogeneity Bias of Cost Matrices when Assessing Scheduling Algorithms
- Andreas Vogel, Alexandru Calotoiu, Alexandre Strube, Sebastian Reiter, Arne Nägel, Felix Wolf and Gabriel Wittum. 10,000 performance models per minute – scalability of the UG4 simulation framework
- Georgios Rokos, Gerard Gorman and Paul Kelly. A Fast and Scalable Graph Coloring Algorithm for Multi-core and Many-core Architectures
- Johanne Cohen and Fanny Pascual. Scheduling tasks from selfish multi-tasks agents
- Yijia Gu, Thomas Wahl, Mahsa Bayati and Miriam Leeser. Behavioral Non-Portability in Scientific Numeric Computing
- Shams Imam and Vivek Sarkar. Load Balancing Prioritized Tasks via Work-Stealing
- Shams Imam, Jisheng Zhao and Vivek Sarkar. A Composable Deadlock-free Approach to Object-based Isolation
- Jonathan Beard, Cooper Epstein and Roger Chamberlain. Online Automated Reliability Classification of Queueing Models for Streaming Processing using Support Vector Machines
- Tekin Bicer, Doga Gursoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal and Ian T. Foster. Rapid Tomographic Image Reconstruction via Large-Scale Parallelization
- Alina Sbirlea, Kunal Agrawal and Vivek Sarkar. Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive Runtime