Held in conjunction with EuroMPI/ASIA 2014 (see the associated call for papers), September 9-12, 2014. In-cooperation status with ACM and SIGHPC.
This year, EuroMPI/ASIA 2014 will hold two workshops. Accepted workshop papers will be included in ACM's ICPS conference proceedings of the EuroMPI/ASIA 2014.
Workshop information is available on the EuroMPI/ASIA 2014 web site, and details of their workshops are in their web respective sites. If you have any further questions, please contact associated workshop organizers listed in their workshop web sites.
We are looking forward to your submissions!
1. Challenges in Data-Centric Computing (BigDataComputing 2014)
This workshop is a 1-day event organized as a part of the EuroMPI/ASIA conference. It aims at bringing together researchers from the domains related to data-centric computing to discuss challenges and possible solutions for data-centric application development in high-performance computing environments.
The workshop is organized by the High Performance Center Stuttgart (HLRS) in cooperation with the Steinbuch Centre for Computing, Karlsruhe Institute of Technology. It is further supported by the EC FP7 projects JUNIPER and DreamCloud.
2. International Workshop on Enhancing Parallel Scientific Applications with Accelerated HPC (ESAA 2014)
Since 2011, the most powerful supercomputers systems ranked in the Top500 list are hybrid systems composed of thousands of nodes that includes CPUs and accelerators, as Xeon Phi and GPUs. Programming and deploying applications on those systems is still a challenging work, due to the complexity of the system and the need to mix several programming interfaces (MPI, CUDA, Intel Xeon Phi) in the same application.
This Workshop is aimed to explore the state of the art of developing applications in accelerated massive HPC architectures, including practical issues of hybrid usage models with MPI, OpenMP, and other accelerators programming models. The idea is to publish novel work on the use of available programming interfaces (MPI, CUDA, Intel Xeon Phi) and tools for code development, application performance optimizations, application deployment on accelerated systems, as well as the advantages and limitations of accelerated HPC systems. Experiences with real-world applications, including scientific computing, numerical simulations, healthcare, energy, data-analysis, etc. are also encouraged.