Since 2011, the most powerful supercomputers systems ranked in the Top500 list have been 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 challenge due to complexity of the system and the need to mix several programming interfaces (MPI, CUDA, Intel Xeon Phi) in the same application. This special issue of the International Journal of Computers & Electrical Engineering is aimed at exploring 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.
The goal of this workshop is to provide a forum to discuss new and emerging general-purpose purpose programming environments and platforms, as well as evaluate applications that have been able to harness the horsepower provided by these platforms. This year’s work is particularly interested on new heterogeneous GPU platforms, new forms of concurrency, and novel/irregular applications that can leverage these platforms. Papers are being sought on many aspects of GPUs, including (but not limited to): Read the rest of this entry »
The goal of this one-day workshop is to investigate challenges and opportunities for data processing on existing and upcoming heterogeneous hardware architectures. The workshop is co-located to EDBT/ICDT 2015, March 23-27, Brussels, Belgium, and more information is available at http://daphne.uk.to.
Increased heterogeneity is one of the major current challenges in data processing on modern hardware. With multi-core CPUs, graphics cards, massively parallel accelerator cards (e.g. Intel Xeon Phi), heterogeneous mobile processors (e.g. ARM big.LITTLE) and FPGAs, we already face a huge variety of available processing devices with different capabilities, strengths and weaknesses. This trend is expected to accelerate in the near future, and tomorrow’s database systems will need to exploit and embrace this increased heterogeneity in order to keep up with the performance requirements of the modern information society.
High-level, directive-based programming models have been rapidly gaining traction as a portable, productive means to develop application code for multicore platforms and accelerators. Due to their usability and portability, programming APIs such as OpenMP and OpenACC, are increasingly being adopted as an alternative to lower-level APIs such as CUDA and OpenCL. This workshop focuses on the use of directives to program accelerators, such as NVIDIA/AMD GPUs and coprocessors such as Intel’s Xeon Phi. It will also provide a forum for HPC application developers and technical managers to learn more about these high-level, directive-based programming strategies and their usage. It will also offer an opportunity for users to discuss their experiences and express their needs with respect to such a programming interface. More information: http://www.cacds.uh.edu/?q=ONGWorkshop
The 23rd High Performance Computing Symposium (April 12-15, 2015 in Alexandria, VA, USA) is devoted to the impact of high performance computing and communications on computer simulations. Topics of interest include:
- GPU for general purpose computations (GPGPU)
- Hybrid system modeling and simulation
- Tools and environments for coupling parallel codes
- Parallel algorithms and architectures
- High performance software tools
Submission deadline for full papers: November 22, 2014. More information can be found at http://hosting.cs.vt.edu/hpc2015.
The course on Antenna Synthesis (with elements of GPU computing) is organized in the framework of the European School of Antennas. The course will take place at the Partenope Conference Center of the Università di Napoli Federico II, Napoli, Italy, on October 13-17, 2014. It faces three topics corresponding to the two main aspects of Antenna Synthesis, namely external and internal synthesis, and to numerical and implementation issues on High Performance Computing (HPC) platforms of synthesis algorithms. For details about the course please see this brochure and http://www.antennasvce.org/Community/Education/Courses?id_folder=533.
Webinar: Next Steps for Folding@Home — a Distributed Computing Project for Protein Folding, by Vijay PandeJune 3rd, 2014
Folding@Home is a large-scale volunteer distributed computing project started in 2000 by Vijay Pande, Stanford. For over a decade, Professor Pande’s group has increased the computing power of Folding@Home through the development of new software algorithms and infrastructure, such as the incorporation of new hardware innovations like GPUs. That tremendous computing power has enabled significant advances in the simulation and understanding of diseases like Alzheimer’s Disease, malaria, various cancers, and other diseases at the molecular scale. Professor Pande will give a brief introduction to Folding@Home and the successes in the project so far. He will also discuss plans to greatly enhance Folding@Home capabilities through new initiatives. This webinar is planned for June 3rd, 2014 at 9.00 AM Pacific Time. Register at: http://bit.ly/FolHome
The conference focuses on the application of GPUs in High Energy Physics (HEP), expanding on the trend of previous workshops on the topic and pointing to establishing a recurrent series. The emerging paradigm of the use of graphic processors as powerful accelerators in data- and computation-intensive applications found fertile ground in the computing challenges of the HEP community and is currently object of active investigations. This follows a long established trend which sees the increased use of cheap off-the-shelf commercial units to achieve unprecedented performances in parallel data processing, thus leveraging on a very strong commitment of hardware producers to the huge market of computer graphics and games. These hardware advances comes together with the continuous development of proprietary and free software to expose the raw computing power of GPUs for general-purpose applications and scientific computing in particular. All different applications of massively parallel computing in HEP will be addressed, from computational speed-ups in online and offline data selection and analysis to hard real-time applications in low-level triggering, to MonteCarlo simulations for lattice QCD. Both current activities and plans for foreseen experiments and projects will be discussed, together with perspectives on the evolution of the hardware and software.
The conference is held in Pisa (Italy), 10.9.2014 – 12.9.2014. More information: http://www.pi.infn.it/gpu2014
The GPU Programming for Molecular Modeling workshop will extend GPU programming techniques to the field of molecular modeling, including subjects such as particle-grid algorithms (electrostatics, molecular surfaces, density maps, and molecular orbitals), particle-particle algorithms with an emphasis on non-bonded force calculations, radial distribution functions in GPU histogramming, single-node multi-GPU algorithms, and GPU clusters. Specific examples utilizing the NAMD and VMD software programs will be introduced and discussed in detail. The workshop is designed for researchers in computational and/or biophysical fields who seek to extend their GPU programming skills to include molecular modeling. Advanced lecture sessions will be followed by extended discussion periods between lecturers and participants and laboratory time in which students will be able to work on their own molecular modeling GPU codes. See workshop website for details and application: http://www.ks.uiuc.edu/Training/Workshop/GPU_Jul2014/
This webinar covers how Geoweb3d uses the GPU for real-time geospatial 3D visualization, modeling, and analytics. Geoweb3D will demonstrate how native, high resolution datasets including GIS, CAD, 3D Models, LIDAR, and FMV are fused together in real-time with game quality graphics and pixel accurate analysis. The 3D engine uses a GPU resident mesh that adapts to any resolution data on the fly eliminating the need to preprocess any data prior to real-time use. Demonstration will include Geoweb3d Mobile which now uses HTML5 for use on any device in the cloud including phones and tablets.
To register follow this link: https://www2.gotomeeting.com/register/226039466