Algorithmic Re-Engineering for Modern Non-Conventional Processing Units

September 30, 2009 to October 2, 2009

Location : CECAM-USI, Lugano, Switzerland

Details	Participants	Program	Posters	Abstracts	Files
Breakthroughs and challenges in the end-to-end acceleration of full-scale scientific simulations Sadaf Alam Multicores, GPUs, FPGAs and custom processors for High Performance Computing in theoretical physics: a delicate tradeoff Raffaele Tripiccione A Modular Approach to Parallel Applications Burkhard Steinmacher-Burow, Jens Remus, Sven Wagner A Programming Model for High-Performance Reconfigurable Computing Paul Chow Parallel Data-Locality Aware Biomedical Stencil Computations on Multicores and Accelerators Olaf Schenk Simulating Strongly-Correlated Materials on non-conventional Architectures Andreas Dolfen Implementing Stencil-Based Codes on the Cell Broadband Engine Efficiently Markus Stuermer Porting Numerical Algorithms to GPUs Harald Koestler Cellular Neural/Non-linear Network Inspired Solution of PDEs on Array Processors Zoltan Nagy Multi-GPU Performance and Hardware Abstraction in Scientific Computing Robert Strzodka Trends in High Performance Computing: The Emerging Role of Hetergeneous Processing Vincent Natoli Geophysical applications on accelerators: problems and promises Jose Maria Cela Why algorithmic reengineering is a good idea: experiences from running simulations that sustain a petaflop/s Thomas Schulthess Simulations Using Hybrid Particle-Mesh Methods On Multi-core and GPU Architectures Diego Rossinelli A Hybrid System for High Throughput Processing of Streaming Sensor Network Data Catherine H. Crawford, Heather D., Achilles Massively Parallel Mixed Precision Iterative Refinement Solution of Linear Systems Costas Bekas Algorithms re-engineering as a fundamental step towards exploitable hybrid computing for engineering simulations. Francesco Iorio Hardware acceleration of a quantum Monte Carlo simulation Robert Hinde, Robert Harrison, Greg Peterson A Hybrid System for High Throughput Processing of Streaming Sensor Network Data Heather D. Achilles, Catherine H. Crawford CUDA Implementation of Ionic Interatomic Potentials and the BigDFT Density Functional Code Seyed Alireza Ghasemi Using GPU Computing to Accelerate Molecular Modeling Applications David Hardy