We are pleased to announce High-Performance Graphics 2011. High Performance Graphics is the leading international forum for performance-oriented graphics systems research including innovative algorithms, efficient implementations, and hardware architecture. The conference brings together researchers, engineers, and architects to discuss the complex interactions of massively parallel hardware, novel programming models, efficient graphics algorithms, and innovative applications.

The conference is co-located with ACM SIGGRAPH 2011 (Aug. 5-7) in Vancouver, Canada.  More information including the full call for papers with deadlines and submission instructions, is available at http://www.highperformancegraphics.org.

Abstract:

In this paper, we present the design of Power Flow algorithm that has enhanced performance on the Graphics Processing Unit (GPU) using Compute Unified Device Architecture (CUDA). This work investigates the performance of optimized CPU versions of Newton-Raphson (Polar form) and Gauss-Jacobi power flow algorithms, highlights the approach used to reduce the computation time by performing these studies on massively parallel GPU cores. Simulations results demonstrate the significant acceleration of the GPU version compared to its CPU variant, thus reducing processing time making them suitable for real-time online dispatching purposes.

(Singh, J. and Aruni, I.: “Accelerating Power Flow studies on Graphics Processing Unit”, Proceedings of the Annual IEEE India Conference 2010 (INDICON), pp 1-5, Dec. 2010. [DOI])

The First International Workshop on Accelerators Architectures for the Masses (WACy 2011) will be held in conjunction with 25th Int’l. Conference on Supercomputing (ICS 2011), on June 4th 2011. The submission of short papers (approximately ~6 pages) is encouraged. This workshop is organized by Arrvindh Shriraman and Tor Aamodt, the submission deadline is April 15th 11:59pm PST. More information is available at http://wacy.cs.sfu.ca.

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Abstract:

We present a computational method of coupling average interpolating wavelets with high-order finite volume schemes and its implementation on heterogeneous computer architectures for the simulation of multiphase compressible flows. The method is implemented to take advantage of the parallel computing capabilities of emerging heterogeneous multicore/multi-GPU architectures. A highly efficient parallel implementation is achieved by introducing the concept of wavelet blocks, exploiting the task-based parallelism for CPU cores, and by managing asynchronously an array of GPUs by means of OpenCL. We investigate the comparative accuracy of the GPU and CPU based simulations and analyze their discrepancy for two-dimensional simulations of shock-bubble interaction and Richtmeyer–Meshkov instability. The results indicate that the accuracy of the GPU/CPU heterogeneous solver is competitive with the one that uses exclusively the CPU cores. We report the performance improvements by employing up to 12 cores and 6 GPUs compared to the single-core execution. For the simulation of the shock-bubble interaction at Mach 3 with two million grid points, we observe a 100-fold speedup for the heterogeneous part and an overall speedup of 34.

(Rossinelli D., Hejazialhosseini B., Spampinato D., Koumoutsakos P.: “Multicore/Multi-GPU Accelerated Simulations of Multiphase Compressible Flows Using Wavelet Adapted Grids”, SIAM Journal of Scientific Computing 33:512-540, 2011 [DOI])

The call for Submissions for GPU Technology Conference 2011 (GTC), October 11-14, is now open.  You can find more details and instructions for submitting here.

Expanding the already comprehensive breadth of topics covered at GTC 2010, the GTC Content Committee has added new topic areas for 2011. Below is a partial list; see the GTC website for full details:

• Application Design & Porting Techniques
• Bioinformatics
• Climate & Weather Modeling
• Cluster Management
• Computational Structural Mechanics
• Parallel Programming Languages
• Supercomputing

GTC is also looking for posters that describe novel or interesting research topics in parallel computing, visual computing, and applications of GPUs, with a particular interest in submissions describing GPU computing and CUDA applications that solve diverse problems in scientific and engineering domains. Read the rest of this entry »

Proceedings from the 2nd International Workshop on High Performance and Hardware-Aware Computing (HIPHAC 2011) are now available from KIT Scientific Publishing. Individual copies can be ordered here, and the electronic proceedings are available free of charge.

FGC 2011 – The Second International Workshop on Frontier of GPU Computing, is held in conjunction with CSE 2011, Dalian, China, 24 – 26 August, 2011. More information can be found at http://www.comp.hkbu.edu.hk/~chxw/fgc2011/index.php.

The First International Workshop on Characterizing Applications for Heterogeneous Exascale Systems (co-located with ICS, June 4, 2011) is intended to provide evaluations of the characteristics of computational kernels and applications, and how different software stacks impact them, to guide future accelerator-based HPC system designs.

We solicit papers on all aspects of HPC application studies, especially those that involve accelerators such as GPUs, FPGAs, etc. The topics include (but are not limited to):

• Categorizing/characterizing of HPC applications and kernels with respect to patterns in computation structure, communication, cache accesses, memory, I/O, and file accesses.
• Evaluating the importance of individual kernels within an entire application.
• Modeling for applications running on accelerator-based heterogeneous HPC systems.
• Implication of workload characterization in heterogeneous design issues.
• Benchmarking of applications, kernels or software stacks and tools supporting applications.

The call for papers and more details about the workshop may be found on the website.

Abstract:

The paper discusses a fast implementation of the conjugate gradient iterative method with E-field multilevel preconditioner applied to solving real symmetric and sparse systems obtained with vector finite element method. In order to accelerate computations, a graphics processing unit (GPU) was used and significant speed-up (2.61 fold) was achieved comparing to a central processing unit (CPU) based approach. These results indicate that performance of electromagnetic simulations can be significantly improved thereby enabling full wave optimization of microwave components in more manageable time.

(A. Dziekonski, A. Lamecki and M. Mrozowski: “GPU Acceleration of Multilevel Solvers for Analysis of Microwave Components With Finite Element Method”, IEEE Microwave and Wireless Components Letters 21(1) pp.1-3, Jan. 2011. [DOI])

Abstract:

Proteins, nucleic acids, and small molecules form a dense network of molecular interactions in a cell. The architecture of molecular networks can reveal important principles of cellular organization and function, similarly to the way that protein structure tells us about the function and organization of a protein. Protein complexes are groups of proteins that interact with each other at the same time and place, forming a single multimolecular machine. Functional modules, in contrast, consist of proteins that participate in a particular cellular process while binding each other at a different time and place.

A protein-protein interaction network is represented as proteins are nodes and interactions between proteins are edges. Protein complexes and functional modules can be identified as highly interconnected subgraphs and computational methods are now inevitable to detect them from protein interaction data. In addition, High-throughput screening techniques such as yeast two-hybrid screening enable identification of detailed protein-protein interactions map in multiple species. As the interaction dataset increases, the scale of interconnected protein networks increases exponentially so that the increasing complexity of network gives computational challenges to analyze the networks. Read the rest of this entry »