Search results for "Supercomputer"

showing 5 items of 45 documents

The Dynamical Kernel Scheduler - Part 1

2015

Emerging processor architectures such as GPUs and Intel MICs provide a huge performance potential for high performance computing. However developing software using these hardware accelerators introduces additional challenges for the developer such as exposing additional parallelism, dealing with different hardware designs and using multiple development frameworks in order to use devices from different vendors. The Dynamic Kernel Scheduler (DKS) is being developed in order to provide a software layer between host application and different hardware accelerators. DKS handles the communication between the host and device, schedules task execution, and provides a library of built-in algorithms. …

Speedup010308 nuclear & particles physicsComputer sciencebusiness.industryFast Fourier transformGeneral Physics and AstronomyFOS: Physical sciencesParallel computingComputational Physics (physics.comp-ph)Supercomputer01 natural sciencesCUDASoftwareKernel (image processing)Hardware and Architecture0103 physical sciencesHardware acceleration010306 general physicsbusinessPhysics - Computational PhysicsXeon Phi
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Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions

2022

Molecular dynamics (MD) simulations are playing an increasingly important role in many areas ranging from chemical materials to biological molecules. With the continuing development of MD models, the potentials are getting larger and more complex. In this article, we focus on the reactive force field (ReaxFF) potential from LAMMPS to optimize the computation of interactions. We present our efforts on refactoring for neighbor list building, bond order computation, as well as valence angles and torsion angles computation. After redesigning these kernels, we develop a vectorized implementation for non-bonded interactions, which is nearly $100 \times$ 100 × faster than the management processing…

SpeedupComputational Theory and MathematicsXeonHardware and ArchitectureComputer scienceComputationSignal ProcessingVectorization (mathematics)Node (circuits)Parallel computingSupercomputerForce field (chemistry)Sunway TaihuLightIEEE Transactions on Parallel and Distributed Systems
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BGSA: a bit-parallel global sequence alignment toolkit for multi-core and many-core architectures

2018

Abstract Motivation Modern bioinformatics tools for analyzing large-scale NGS datasets often need to include fast implementations of core sequence alignment algorithms in order to achieve reasonable execution times. We address this need by presenting the BGSA toolkit for optimized implementations of popular bit-parallel global pairwise alignment algorithms on modern microprocessors. Results BGSA outperforms Edlib, SeqAn and BitPAl for pairwise edit distance computations and Parasail, SeqAn and BitPAl when using more general scoring schemes for pairwise alignments of a batch of sequence reads on both standard multi-core CPUs and Xeon Phi many-core CPUs. Furthermore, banded edit distance perf…

Statistics and Probability0303 health sciencesMulti-core processorXeonComputer sciencebusiness.industry030302 biochemistry & molecular biologySequence alignmentSequence Analysis DNAParallel computingBiochemistryComputer Science Applications03 medical and health sciencesComputational MathematicsTitan (supercomputer)SoftwareComputational Theory and MathematicsEdit distancebusinessSequence AlignmentMolecular BiologyAlgorithmsSoftwareXeon Phi030304 developmental biologyBioinformatics
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A Simulation Based Analysis of an Multi Objective Diffusive Load Balancing Algorithm

2018

In this paper, we presented a further development of our research on developing an optimal software-hardware mapping framework. We used the Petri Net model of the complete hardware and software High Performance Computing (HPC) system running a Computational Fluid Dynamics (CFD) application, to simulate the behaviour of the proposed diffusive two level multi-objective load-balancing algorithm. We developed an meta-heuristic algorithm for generating an approximation of the Pareto-optimal set to be used as reference. The simulations showed the advantages of this algorithm over other diffusive algorithms: reduced computational and communication overhead and robustness due to low dependence on u…

Uncertain dataComputer Networks and Communicationsbusiness.industryComputer scienceComputationLoad balancing (computing)Computational fluid dynamicsPetri netSupercomputerComputer Science ApplicationsSoftwareComputational Theory and MathematicsRobustness (computer science)businessAlgorithmInternational Journal of Computers Communications & Control
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Grid production with the ATLAS Event Service

2018

ATLAS has developed and previously presented a new computing architecture, the Event Service, that allows real time delivery of fine grained workloads which process dispatched events (or event ranges) and immediately streams outputs. The principal aim was to profit from opportunistic resources such as commercial cloud, supercomputing, and volunteer computing, and otherwise unused cycles on clusters and grids. During the development and deployment phase, its utility also on the grid and conventional clusters for the exploitation of otherwise unused cycles became apparent. Here we describe our experience commissioning the Event Service on the grid in the ATLAS production system. We study the …

business.industryProject commissioningPhysicsQC1-999Distributed computingCloud computingGridSupercomputerProfit (economics)Software deploymentManagement systemScalabilitybusinessParticle Physics - ExperimentEPJ Web of Conferences
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