Topics of interest include, but are not limited to:

• Stochastic modelling of computer systems and networks
• Tools for all aspects of performance engineering from workload characterisation to operational analysis
• Modelling paradigms including, but not limited to: Stochastic Process Algebras, Stochastic Petri Nets and Queueing Theory
• Solution and simplification techniques for large Markov processes
• Formal notations for performance modelling
• Modelling and analysis of reliability and performance guarantees
• Performance-oriented design methods
• Novel techniques in computer system simulation
• Case studies and industrial reports
• Experience and evaluation of existing tools and techniques
• Cloud computing

UKPEW is the primary event at which the UK performance community can get together to present and discuss their work. Whilst the event is primarily aimed at UK based performance engineers, we also welcome contributions from researchers working in other countries and those whose interest in performance is derived from experience in other fields. It provides an ideal opportunity for academics, industrialists and PhD students to relate experience and to present both finished work and work in progress. The event has been organised to sustain the atmosphere of informality that previous UKPEWs have fostered. As well as sessions for presenting the papers submitted, it will also be possible to organise a session of short presentations of work in progress.

April 6, 2012 — Paper and poster submission
May 18, 2012 — Notification of acceptance
June 1, 2012 — Camera-ready copy deadline
June 1, 2012 — Registration deadline
July 2-3, 2012 — UKPEW 2012 in Edinburgh

Submission and registration details can be found at http://www.ukpew.org.

The list of topics includes: data compression on GPU, GPUs in databases and data warehouses, data mining using GPUs, stream processing, applications of GPUs in bioinformatics and data oriented GPU primitives.

Submitted papers will be published by Springer in the Advances in Intelligent Systems and Computing (AISC) series. Extended versions of the best workshop papers will be invited after the conference to the international journal Control and Cybernetics (http://control.ibspan.waw.pl), which is indexed by Thomson Reuters Science Citation Index Expanded.

Please see http://gid2012.cs.put.poznan.pl for details.

• Parallel stochastic simulation
• Biological and Numerical parallel computing
• Parallel and distributed architectures
• Emerging processing architectures (e.g. GPUs, FPGAs, mixed CPU-GPU or CPU-FPGA)
• Parallel Model checking techniques.
• Parallel algorithms for biological analysis.
• Cluster and Grid Deployment for system biology
• Tools and applications
• Biologically inspired algorithms.

More details, including dates, deadlines and submission instructions, are available on the workshop web page.

WCCM will be held at São Paolo, Brazil, 8–13 July 2012.  The abstract submission deadline is  December 31, 2011. More information: http://www.wccm2012.com, http://barbagroup.bu.edu/Barba_group/Events.html.

The computing landscape has undergone significant transformation with the emergence of more powerful processing elements such as GPUs, FPGAs, multi-cores, etc. On the multi-core front, Moore’s Law has transcended beyond the single processor boundary with the prediction that the number of cores will double every 18 months. Going forward, the primary method of gaining processor performance will be through parallelism. Multi-core technology has visibly penetrated the global market. Accordingly to the latest Top500 lists the HPC landscape has evolved from supercomputer systems into large clusters of dual or quad-core processors. Furthermore, GPUs, FPGAs and multi-cores have been shown to be formidable computing alternatives, where certain classes of applications witness more than one order of magnitude improvement over their GPP counterpart. Therefore, future computational science centers will employ resources such as FPGA and GPU architectures to serve as co-processors to offload appropriate compute-intensive portions of applications from the servers.

This workshop provides a forum for exploring the capabilities of emerging parallel architectures to accelerate computational science applications. Papers are being sought on a wide variety of topics related to the field of using emerging parallel architectures for computational science including but not limited to:

• Application studies on emerging architectures such as GPUs, FPGAs and Intel MIC
• Parallel algorithms and methodologies on emerging architectures
• Languages, models, tools, and compilation techniques for emerging architectures
• Hybrid computer systems consisting of a combination of GPUs, FPGAs, etc.
• Use of emerging architectures in clusters, grids and supercomputers

More information, including submission deadlines and instructions, are available at http://www.staff.uni-mainz.de/schmi033.

Submissions are invited (by Nov. 30) on (but not limited to) the following topics:

•  Optimization of parallel architectures by means of Evolutionary Algorithms.
• Hardware implementation of EAs, including Field Programmable Gate Arrays (FPGA), GPU, games consoles, mobile devices.
• GPGPU optimisation (CUDA, AMD, ARM, OpenCL, etc., etc.).
• Improving scheduling techniques for peer-to-peer (P2P) and grid systems or for running distributed EAs and GAs.
• Improving fault tolerance techniques for distributed systems and distributed EAs capabilities for coping with failures.
• Analytical modelling and performance evaluation of parallel and distributed infrastructures when running EAs.
• Improvement in system performance through optimisation and tuning.
• Case studies showing the role of parallel and distributed infrastructures in conjunction with distributed EAs when solving hard real-life problems.
• Parallel and distributed implementation of genetic algorithms.

• Solving partial differential equations efficiently on the heterogeneous computing systems. There is some emphasis on GPU computing, but other accelerators and the efficient use of large multi-core cluster nodes are considered as well.
• Optimization of computational kernels coming from finite differences, spectral methods, and lattice gauge theory on accelerators.
• We plan to have a tutorial day, two days of talks and a poster session. We plan for discussion and talks to provide an overview of current work in these areas, and to develop future lines of research and collaborations. The deadline for submission of talks is 15 August 2011.

Please visit http://wwwsfb.tpi.uni-jena.de/Events/Event-PHSP11.shtml for more information. This workshop is organised by G. Zumbusch (Chair, Jena), B. Bruegmann (Jena), A. Weyhausen (Jena), L. Rezzolla (Potsdam) and B. Zink (Tuebingen).

The goal of this workshop is to bring together GPU experts with computational science experts. The workshop addresses programming approaches and key techniques to leverage the computing power of GPUs. Experiences gained while adapting scientific codes to run efficiently on such architectures are welcome. The workshop solicits unpublished papers about research challenges and advances addressing porting of scientific codes and algorithms to GPU platforms.

Submission deadline: June 28, 2011. The topics of the workshop include but are not limited to:

• Scientific applications optimized for GPUs
• Programming approaches for multicore CPUs and GPUs
• Stream computing
• Programming environments for GPUs
• Benchmarking/measurements for GPUs
• GPU architectures
• OpenCL and CUDA

Extended versions of the best papers will be published in the International Journal of Computational Science and Engineering (IJCSE) as part of the Special Issue on GPUs and Accelerators for Scientific Applications. The workshop chairs are Eduard Mehofer, Markus Schordan, Dan Quinlan, and Beniamino Di Martino. For further information see the workshop website:
http://informatik.technikum-wien.at/gpusca/