Facing the Multicore-Challenge III: Aspects of New Paradigms and Technologies in Parallel Computing

ISBN-13: 9783642358920 / Angielski / Miękka / 2013 / 146 str.

Rainer Keller;David Kramer;Jan-Philipp Weiß

Opis

This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and large-scale applications in an interdisciplinary environment. The papers included in this survey cover research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume are an outcome of an inspiring conference conceived and organized by the editors at the University of Applied Sciences (HfT) in Stuttgart, Germany, in September 2012. The 10 revised full papers selected from 21 submissions are presented together with the twelve poster abstracts and focus on combination of new aspects of microprocessor technologies, parallel applications, numerical simulation, and software development; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing and very likely towards exascale computing.

Spis treści

Invasive Computing on High Performance Shared Memory Systems.- A Similarity-Based Analysis Tool for Porting OpenMP Applications.- Array-Based Reduction Operations for a Parallel Adaptive FEM.- An Efficient High Performance Parallelization of a Discontinuous Galerkin Spectral Element Method.- Reducing the Memory Footprint of Parallel Applications with KSM.- Recalibrating Fine-Grained Locking in Parallel Bucket Hash Tables.- Impact of Variable Privatization on Extracting Synchronization-Free Slices for Multi-core Computers.- Parallel Collision Queries on the GPU: A Comparative Study of Different CUDA Implementations.- ÆminiumGPU: An Intelligent Framework for GPU Programming.- Parallel k-Means Image Segmentation Using Sort, Scan and Connected Components on a GPU.- Solving High-Dimensional Problems on Processors with Integrated GPU.- Pulsar Searching with Many-Cores.- Scheduling Overheads for Task-Based Parallel Programming Models.- PINstruct – Efficient Memory Access to Data Structures.- Development of a GPU-Accelerated Mike 21 Solver for Water Wave Dynamics.- GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ4 Model.- Protable Codes on New HPC Architectures.- GASPI – A Partitioned Global Address Space Programming Interface.- Parallel Fully Adaptive Tsunami Simulations.- Implementation of Stable Skew–Symmetric Matrix Factorization for Fermi GPUs Using CUDA.- The IMData Approach to Accelerate Data Intensive Workloads.- PRAgMaTIc – Parallel Anisotropic Adaptive Mesh Toolkit.