Conference for Young Scientists

Facing the Multicore-Challenge II

 

September 28 - 30, 2011

                                                          

Karlsruhe Institute of Technology
 

                       
Conference theme
The prevalence of multicore technologies has brought ubiquitous parallelism and a huge theoretical potential for compute-intensive tasks. In theory, advancements in technology bring us closer to the solution of the Grand Challenges in modern computing. In practice however, it is hard to achieve maximal throughput in the results and to exploit all available capabilities. Due to the inevitable paradigm shift towards multicore technologies, parallelism is now affecting all kinds of software development processes – from large-scale numerical simulation to desktop commodity applications. And parallelism is no longer restricted to well-balanced systems built of homogeneous nodes. In recent systems parallelism spreads over many systems levels including nodes, processors, cores, threads, registers, SIMD and vector units. Moreover, heterogeneity of the systems is growing on the node as well as on the chip level. Most applications and algorithms are not yet ready to utilize available capabilities and a tremendous effort is required to close the gap. Different technologies and processing models, non-adjusted interfaces, and incomplete tool chains complicate holistic programming approaches and impede programmer’s productivity. On the other hand, resource contention, data conflicts and hardware bottlenecks keep performance away from theoretical peak.


At the current state of the art in technologies and methodologies an interdisciplinary approach is required to tackle the obstacles in multicore computing. Only a comprehensive approach with contributions from computer science, applied mathematics, high performance computing, and engineering disciplines can face the multicore challenge. Compute- and memory-intensive applications can only benefit from the full hardware potential if all features on all system levels are taken into account in a holistic approach.


This conference aims to combine new aspects of multicore microprocessor technologies, parallel applications, numerical simulation, software development and tools. The primary goal is to bring together young researchers working in related fields. Contributions are welcome from all participating disciplines.


Submission topics

Topics of interest for conference submissions include (but are not limited to):

  • Emerging hardware architectures (multicore-CPUs, GPUs, FPGAs, Cell, tiled manycore architectures, accelerators, ...)

  • Aspects of microprocessor technologies and prospect of manycore technologies
  • Parallel programming models, environments and languages (MPI, OpenMP, CUDA, OpenCL, PGAS, ...) for multicore computing

  • Hardware-aware computing and architecture-aware approaches for parallel numerical simulations, implementation and algorithm design

  • Heterogeneous computing, adaptive and reconfigurable computing

  • Mathematical modeling, design of parallel algorithms and scalability issues
  • Parallelization strategies in hybrid and hierarchical setups
  • Autotuning strategies; portability and flexibility of software solutions

  • Library and tool support for parallel applications

  • Performance analysis and modeling

  • Compiler techniques and code optimization strategies for parallel systems

  • Virtualization strategies and hardware transparency

  • Memory behavior analysis, parallel data access and parallel data structures

  • Efficient parallel numerical methods

  • Parallel applications (e.g. numerical simulation, image processing)
  • Parallelism for nun-numerics and non-HPC applications

  • Practice and experience of multicore programming

  • Benchmarking results of scientific applications, multicore application studies

  • Interdisciplinary approaches and theoretical concepts

Conference language is English.

 Invited Speakers
  • Rich Vuduc, Georgia Tech USA
  • James R. Reinders, Intel, USA

Tutorials
The conference hosts tutorials on multicore technologies and parallel programming aspects:
  • Principles of Multicore Optimization, Jan Treibig, University Erlangen-Nuremberg, Germany
  • The SMPSs Programming Model , Marta Garcia, Barcelona Supercomputing Centre and Rainer Keller, HLRS
  • Unleash the Power of Modern CPUs through Vectorization and Parallelization, Hans Pabst, Intel

Short Talks and Poster Session
The conference program is complemented by poster sessions and short talks of young scientists on ongoing research


 Second Conference: Facing the Multicore-Challenge II
After a fruitful conference at the Heidelberg Academy of Sciences in 2010 and the multitude of open topics, the second conference, Facing the Multicore-Challenge II, has taken place at Karlsruhe Institute of Technology, September 28 - 30, 2011.

Conference Proceedings will be published as State-of-the-Art Survey in the Springer LNCS series. Proceedings 2010 can be accessed here.

Questions or Comments
In case of any questions, please contact the organizers by sending your request to .