Posts
Nov, 9
Parallel Implementation of Niblack’s Binarization Approach on CUDA
Image processing and pattern recognition algorithms take more time for execution on a single core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. Most of the researchers started work to use GPUs as a processing unit with a single core […]
Nov, 8
GPU-based Signal Processing Scheme for Bioinspired Optical Flow
The aim of this work contribution is the neuromorphic low-power GPU implementation of the processing stages for robust and multichannel optical flow estimation that permits highly parallel real-time filtering.
Nov, 8
PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations
PATUS is a code generation and auto-tuning framework for stencil computations targeted at modern multi- and many-core processors, such as multicore CPUs and graphics processing units. Its ultimate goals are to provide a means towards productivity and performance on current and future multi- and many-core platforms. The framework generates the code for a compute kernel […]
Nov, 8
GPU Cluster with MATLAB
This paper presents the architecture of an heterogeneous cluster where each node has one or more Graphical Unit Processors (GPUs). The motivation of the work is the fact that this technology presents very impressive results in High Performance Computing at a very low cost and very small energy consumption so. Although this might not be […]
Nov, 8
Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment
Solution of large-scale dense nonsymmetric eigenvalue problem is required in many areas of scientific and engineering computing, such as vibration analysis of automobiles and analysis of electronic diffraction patterns. In this study, we focus on the Hessenberg reduction step and consider accelerating it in a hybrid CPU-GPU computing environment. Considering that the Hessenberg reduction algorithm […]
Nov, 8
Graphics Processing Unit Utilization in Circuit Simulation
Graphics processing units (GPU) of today include hundreds of multi-threaded, multicore processors and a complex, high-bandwidth memory architecture, making them a good alternative to speed up general-purpose parallel computation where large data quantities are processed with same functions. Some successful applications of GPU computation have also been introduced in the field of circuit simulation. The […]
Nov, 8
20th Euromicro International Conference on Parallel, Distributed and Network-Based Computing, PDP 2012
The Special Session on GPU Computing and Hybrid Computing aims at providing a forum for scientific researchers and engineers on hot topics related to GPU computing and hybrid computing with special emphasis on applications, performance analysis, programming models and mechanisms for mapping codes. Topics: GPU computing, multi GPU processing, hybrid computing; Programming models, programming frameworks, […]
Nov, 8
Innovative Parallel Computing: Foundations & Applications of GPU, Manycore, and Heterogeneous Systems, InPar 2012
InPar 2012 is co-located with NVidia’s GPU Technology Conference. This new conference provides a first-tier academic venue for peer-reviewed publications in the emerging fields of parallel computing, encompassing the topics of GPU computing, manycore computing, and heterogeneous computing. InPar has dual focus on “Foundations” — the fundamental advances in parallel computing itself and “Applications” — […]
Nov, 8
Performance analysis of a hybrid MPI/CUDA implementation of the NASLU benchmark
We present the performance analysis of a port of the LU benchmark from the NAS Parallel Benchmark (NPB) suite to NVIDIA’s Compute Unified Device Architecture (CUDA), and report on the optimisation efforts employed to take advantage of this platform. Execution times are reported for several different GPUs, ranging from low-end consumergrade products to high-end HPC-grade […]
Nov, 8
A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures
Three out of the top four supercomputers in the November 2010 TOP500 list of the world’s most powerful supercomputers use NVIDIA GPUs to accelerate computations. Ninety-five systems from the list are using processors with six or more cores. Three-hundred-sixty-five systems use quad-core processor-based systems. Thirty-seven systems are using dual-core processors. The large-scale enabling of hybrid […]
Nov, 8
High performance massively parallel direct N-body simulations on large GPU clusters
We present direct astrophysical N-body simulations with up to six million bodies using our parallel MPI/CUDA code on large GPU clusters in China, with different kinds of GPU hardware. These clusters are directly linked under the Chinese Academy of Sciences special GPU cluster program. We reach about one third of the peak GPU performance for […]
Nov, 8
The Infrared behavior of SU(3) Nf=12 gauge theory -about the existence of conformal fixed point-
Incorporated with twisted boundary condition, Polyakov loop correlators can give a definition of the renormalized coupling. We employ this scheme for the step scaling method (with step size s = 2) in the search of conformal fixed point of SU(3) gauge theory with 12 massless flavors. Staggered fermion and plaquette gauge action are used in […]