Search results for "Central processing unit"

showing 5 items of 15 documents

Accelerating Clifford Algebra Operations using GPUs and an OpenCL Code Generator

2015

Clifford Algebra (CA) is a powerful mathematical language that allows for a simple and intuitive representation of geometric objects and their transformations. It has important applications in many research fields, such as computer graphics, robotics, and machine vision. Direct hardware support of Clifford data types and operators is needed to accelerate applications based on Clifford Algebra. This paper proposes a mixed software-hardware system that exploits the computational power of Graphics Processing Units (GPUs) to accelerate Clifford operations. A code generator, namely OpenCLifford, is presented that automatically generates Java and C libraries for the direct support of Clifford ele…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSpeedupHardware-software co-designOpenCLComputer scienceClifford algebraGeometric AlgebraParallel computingData typeMetaprogrammingComputer graphicsClifford AlgebraGeometric algebraComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONCode generationCentral processing unitGraphicsGraphics Processing Unit
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Accelerating large-scale biological database search on Xeon Phi-based neo-heterogeneous architectures

2015

In this paper we present new parallelization techniques for searching large-scale biological sequence databases with the Smith-Waterman algorithm on Xeon Phi-based neoheterogenous architectures. In order to make full use of the compute power of both the multi-core CPU and the many-core Xeon Phi hardware, we use a collaborative computing scheme as well as hybrid parallelism. At the CPU side, we employ SSE intrinsics and multi-threading to implement SIMD parallelism. At the Xeon Phi side, we use Knights Corner vector instructions to gain more data parallelism. We have presented two dynamic task distribution schemes (thread level and device level) in order to achieve better load balancing. Fur…

Smith–Waterman algorithmXeonComputer scienceData parallelismHyper-threadingSIMDParallel computingCentral processing unitComputerSystemsOrganization_PROCESSORARCHITECTURESIntrinsicsXeon Phi2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Open-source software tools for measuring resources consumption and DASH metrics

2020

When designing and deploying multimedia systems, it is essential to accurately know about the necessary requirements and the Quality of Service (QoS) offered to the customers. This paper presents two open-source software tools that contribute to these key needs. The first tool is able to measure and register resources consumption metrics for any Windows program (i.e. process id), like the CPU, GPU and RAM usage. Unlike the Task Manager, which requires manual visual inspection for just a subset of these metrics, the developed tool runs on top of the Powershell to periodically measure these metrics, calculate statistics, and register them in log files. The second tool is able to measure QoS m…

Traffic analysisComputer sciencebusiness.industryQuality of service0211 other engineering and technologiesByte02 engineering and technologycomputer.software_genreSoftwareDash0202 electrical engineering electronic engineering information engineeringOperating system020201 artificial intelligence & image processingProcess identifierCentral processing unitTask managerbusinesscomputer021106 design practice & management
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A CUDA-based implementation of an improved SPH method on GPU

2021

We present a CUDA-based parallel implementation on GPU architecture of a modified version of the Smoothed Particle Hydrodynamics (SPH) method. This modified formulation exploits a strategy based on the Taylor series expansion, which simultaneously improves the approximation of a function and its derivatives with respect to the standard formulation. The improvement in accuracy comes at the cost of an additional computational effort. The computational demand becomes increasingly crucial as problem size increases but can be addressed by employing fast summations in a parallel computational scheme. The experimental analysis showed that our parallel implementation significantly reduces the runti…

fast gauss transformScheme (programming language)0209 industrial biotechnologyComputer scienceApplied Mathematics020206 networking & telecommunications02 engineering and technologyFunction (mathematics)Computational scienceSmoothed-particle hydrodynamicsComputational MathematicsCUDAsymbols.namesakeSettore MAT/08 - Analisi Numerica020901 industrial engineering & automationgraphic processing unit0202 electrical engineering electronic engineering information engineeringTaylor seriessymbolsSmoothed Particle Hydrodynamics Fast Gauss Transform Graphics Processing Unit.Central processing unitsmoothed particle hydorodinamicscomputercomputer.programming_language
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Designing a graphics processing unit accelerated petaflop capable lattice Boltzmann solver: Read aligned data layouts and asynchronous communication

2016

The lattice Boltzmann method is a well-established numerical approach for complex fluid flow simulations. Recently, general-purpose graphics processing units (GPUs) have become available as high-performance computing resources at large scale. We report on designing and implementing a lattice Boltzmann solver for multi-GPU systems that achieves 1.79 PFLOPS performance on 16,384 GPUs. To achieve this performance, we introduce a GPU compatible version of the so-called bundle data layout and eliminate the halo sites in order to improve data access alignment. Furthermore, we make use of the possibility to overlap data transfer between the host central processing unit and the device GPU with com…

virtauslaskentalarge-scale I/OComputer scienceGraphics processing unitLattice Boltzmann methodscomputational fluid dynamicsParallel computinggraphics processing unit01 natural sciencesmemory alignmentprocessors010305 fluids & plasmasTheoretical Computer Science0103 physical sciencesData structure alignment0101 mathematicsGraphicsComputingMethodologies_COMPUTERGRAPHICSta113data layoutta114prosessoritSolverLattice Boltzmann010101 applied mathematicsData accessHardware and ArchitectureAsynchronous communicationCentral processing unitasynchronous communicationTitanSoftwareThe International Journal of High Performance Computing Applications
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