Search results for "CPU"

showing 9 items of 19 documents

Rational computing of energy levels for organic electronics: the case of 2-benzylidene-1,3-indandiones

2016

Device engineering in organic electronics, an active area of research, requires knowledge of the energy levels of organic materials (traditionally but ambiguously denoted as HOMO and LUMO). These can be effectively determined by electrochemical investigation, but yet more effective would be quantum chemical (QC) computation of these quantities. However, there is no consensus on the computational method in the research community. Ongoing discussions often focus on choosing the right density functional method, but neglect other model parameters, in particular, the basis set. This study considers comparison of various methodologies and parameters for predicting ionization energy I and electron…

Organic electronics010304 chemical physicsbusiness.industryChemistryGeneral Chemical EngineeringComputationSolvationCPU timeNanotechnologyGeneral Chemistry010402 general chemistry01 natural sciences0104 chemical sciences0103 physical sciencesIonization energyProcess engineeringbusinessHOMO/LUMOPair potentialBasis setRSC Advances
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Modelling Aspects in Accumulative Roll Bonding Process by Explicit Finite Element Analysis

2013

Accumulative Roll-Bonding (ARB) process is a severe plastic deformation (SPD) process, capable of developing grains below 1 μm in diameter and improving mechanical properties of the material. In this study, the authors compared two different FE-codes with respect of its applicability for numerical analysis of the ARB process. Modelling this process was achieved using the explicit code for Abaqus/CAE both in 2D and 3D. The proposed model was used to assess the impact of ARB cycles on the final material properties. The numerical results in 2D and 3D were compared and contrasted. The research work presented in this paper is focused on the simulation optimization based on CPU time minimization.…

Engineering drawingEngineeringbusiness.industryMechanical EngineeringNumerical analysisProcess (computing)CPU timeStructural engineeringFinite element methodAccumulative roll bondingMechanics of MaterialsGeneral Materials ScienceMinificationSevere plastic deformationMaterial propertiesbusinessKey Engineering Materials
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Multi‐specific small‐scale fisheries rely on few, locally essential, species: Evidence from a multi‐area study in the Mediterranean

2022

Achieving sound management of small-scale fisheries (SSFs) is globally recognized a key priority for sustaining livelihoods, local economies, social wealth and cultural heritage in coastal areas. The paucity of information on SSFs often prevents the proper assessment of different socio-ecological aspects, potentially leading to draw inappropriate conclusions and hampering the development and adoption of effective policies to foster SSF sustainability. To respond to the growing global call to assess these fisheries, we carried out a multi-disciplinary and data-rich assessment of SSFs at 11 areas in 6 Mediterranean EU countries, combining the analysis of 1292 SSF fishing operations and 149 se…

small-scale fisheriesCPUEspecies contributionMediterraneanManagement Monitoring Policy and LawAquatic ScienceOceanographyEcology Evolution Behavior and SystematicsRPUEFish and Fisheries
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Compression and load balancing for efficient sparse matrix-vector product on multicore processors and graphics processing units

2021

We contribute to the optimization of the sparse matrix-vector product by introducing a variant of the coordinate sparse matrix format that balances the workload distribution and compresses both the indexing arrays and the numerical information. Our approach is multi-platform, in the sense that the realizations for (general-purpose) multicore processors as well as graphics accelerators (GPUs) are built upon common principles, but differ in the implementation details, which are adapted to avoid thread divergence in the GPU case or maximize compression element-wise (i.e., for each matrix entry) for multicore architectures. Our evaluation on the two last generations of NVIDIA GPUs as well as In…

workload balancingMulti-core processorComputer Networks and CommunicationsComputer sciencesparse matrix-vector productParallel computingLoad balancing (computing)coordinate sparse matrix formatSparse matrix vectorcompressionExascale computingComputer Science ApplicationsTheoretical Computer ScienceComputational Theory and MathematicsCompression (functional analysis)Product (mathematics)Graphicsgraphics processing units (GPUs)multicoreprocessors (CPUs)Software
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Optimization of Application-Specific L1 Cache Translation Functions of the LEON3 Processor

2020

Reconfigurable caches offer an intriguing opportunity to tailor cache behavior to applications for better run-times and energy consumptions. While one may adapt structural cache parameters such as cache and block sizes, we adapt the memory-address-to-cache-index mapping function to the needs of an application. Using a LEON3 embedded multi-core processor with reconfigurable cache mappings, a metaheuristic search procedure, and Mibench applications, we show in this work how to accurately compare non-deterministic performances of applications and how to use this information to implement an optimization procedure that evolves application-specific cache mappings.

Hardware_MEMORYSTRUCTURESComputer scienceCPU cachemedia_common.quotation_subjectApplication specificCacheParallel computingTranslation (geometry)Function (engineering)MetaheuristicEnergy (signal processing)Block (data storage)media_common
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Veiktspējas datu analīzes rīks

2019

„Veiktspējas datu analīzes rīks” ir tīmekļa lietojumprogrammatūra, kuras uzdevums ir atvieglot testēšanas rezultātā iegūto veiktspējas datu pārskatāmību, uztveramību un rezultātu salīdzināmību. Piekļūstot ārējam serverim, kurā tiek glabāti testēšanas laikā iegūtie dati, “Veiktspējas datu analīzes rīks” ļauj efektīvi vizualizēt un attēlot centrālā procesora (CPU) un brīvpiekļuves atmiņas (RAM) lietojamības testu rezultātus, caur lietotājiem draudzīgu un viegli uztveramu lietotāja interfeisu (UI), atvieglojot tālāko datu analīzes procesu. Rīks sniedz iespēju vizuāli aplūkot un salīdzināt datus konkrētos laika posmos pēc vēlamajiem parametriem: testa nosaukuma, platformas nosaukuma, platformas…

RAMDatorzinātneTestēšanaCPUChart.js
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Architecture-Driven Level Set Optimization: From Clustering to Sub-pixel Image Segmentation

2016

Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for their time consumption problem can be hardware acceleration using some massively parallel devices such as graphics processing units (GPUs). But the question is: which accuracy can we reach while still maintaining an adequate algorithm to massively parallel architecture? In this paper, we attempt to…

Level set methodComputer science0211 other engineering and technologiesInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingLevel setgraphics processing units0202 electrical engineering electronic engineering information engineeringLevel set methodComputer visionElectrical and Electronic EngineeringCluster analysisMassively parallelimage segmentation021101 geological & geomatics engineeringActive contour modelhybrid CPU-GPU architecturebusiness.industryImage segmentationSubpixel renderingComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringHardware acceleration020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftwareInformation Systems
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Spim-Cache: A Pedagogical Tool for Teaching Cache Memories Through Code-Based Exercises

2007

Cache memories represent a core topic in all computer organization and architecture courses offered at universities around the world. As a consequence, educational proposals and textbooks address important efforts to this topic. A valuable pedagogical help when studying cache memories is to perform exercises based on simple algorithms, which allow the identification of cache accesses, for instance, a program accessing the elements of an array. These exercises, referred to as code-based exercises, have a good acceptance among instructors of computer organization courses. Nevertheless, no tool (e.g., simulator) has been developed to be used in undergraduate courses working with this kind of e…

MultimediaCPU cacheComputer sciencecomputer.software_genreEducationIdentification (information)ComputingMilieux_COMPUTERSANDEDUCATIONCode (cryptography)CacheElectrical and Electronic EngineeringArchitectureComputer aided instructioncomputerPencil (mathematics)IEEE Transactions on Education
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Data from: Fishing pressure impacts the abundance gradient of European lobsters across the borders of a newly established marine protected area

2018

Marine protected areas (MPAs) are considered as viable fisheries management tools due to their potential benefits of adult spillover and recruitment subsidy to nearby fisheries. However, before-after-control-impact (BACI) studies that explore the biological and fishery effects of MPAs to surrounding fisheries are scarce. We present results from a fine-scale spatial gradient study conducted before and after the implementation of a 5km2 lobster MPA in southern Norway. A significant non-linear response in lobster abundance, estimated as catch-per-unit-effort (CPUE) from experimental fishing, was detected within two years of protection. After 4 years, CPUE values inside the MPA had increased by…

medicine and health careexperimental CPUETvedestrandsfjordMPAspilloverrecreational fisheriesLife SciencesMedicineEuropean lobsterSkagerrakSouthern Norway
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