Search results for "Parallel"

showing 10 items of 667 documents

A note on Serrin's overdetermined problem

2014

We consider the solution of the torsion problem $$−Δu = N \quad\mathrm{in}\quad Ω,\quad u = 0\quad\mathrm{on}\quad ∂Ω,$$ where Ω is a bounded domain in RN. ¶ Serrin's celebrated symmetry theorem states that, if the normal derivative uν is constant on ∂Ω, then Ω must be a ball. In [6], it has been conjectured that Serrin's theorem may be obtained by stability in the following way: first, for the solution u of the torsion problem prove the estimate $$r_e − r_i ≤ C_t\Bigl(\max_{\Gamma_t} u-\min_{\Gamma_t} u\Bigr)$$ for some constant Ct depending on t, where re and ri are the radii of an annulus containing ∂Ω and Γt is a surface parallel to ∂Ω at distance t and sufficiently close to ∂Ω secondly…

General MathematicsMathematical analysisAnnulus (mathematics)Surface (topology)CombinatoricsOverdetermined systemMathematics - Analysis of PDEsSerrin’s problem Parallel surfaces overdetermined problems method of moving planes stability.Settore MAT/05 - Analisi MatematicaBounded functionDomain (ring theory)FOS: MathematicsTorsion (algebra)Ball (mathematics)Constant (mathematics)Analysis of PDEs (math.AP)Mathematics
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MetaCache-GPU: Ultra-Fast Metagenomic Classification

2021

The cost of DNA sequencing has dropped exponentially over the past decade, making genomic data accessible to a growing number of scientists. In bioinformatics, localization of short DNA sequences (reads) within large genomic sequences is commonly facilitated by constructing index data structures which allow for efficient querying of substrings. Recent metagenomic classification pipelines annotate reads with taxonomic labels by analyzing their $k$-mer histograms with respect to a reference genome database. CPU-based index construction is often performed in a preprocessing phase due to the relatively high cost of building irregular data structures such as hash maps. However, the rapidly growi…

Genomics (q-bio.GN)FOS: Computer and information sciencesSource codeComputer sciencemedia_common.quotation_subjectHash functionContext (language use)MinHashcomputer.software_genreData structureHash tableComputer Science - Distributed Parallel and Cluster ComputingFOS: Biological sciencesPreprocessorQuantitative Biology - GenomicsDistributed Parallel and Cluster Computing (cs.DC)Data miningcomputermedia_commonReference genome50th International Conference on Parallel Processing
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Dendrochemical assessment of mercury releases from a pond and dredged-sediment landfill impacted by a chlor-alkali plant.

2016

International audience; Although current Hg emissions from industrial activities may be accurately monitored, evidence of past releases to the atmosphere must rely on one or more environmental proxies. We used Hg concentrations in tree cores collected from poplars and willows to investigate the historical changes of Hg emissions from a dredged sediment landfill and compared them to a nearby control location. Our results demonstrated the potential value of using dendrochemistry to record historical Hg emissions from past industrial activities.

Geologic Sediments010504 meteorology & atmospheric scienceschemistry.chemical_elementIndustrial Waste[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]010501 environmental sciencesGeologic SedimentsAlkalies01 natural sciencesBiochemistryIndustrial waste[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentTrees[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Waste Disposal Facilityddc:550Salicaceous speciesPondsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesGeneral Environmental Science[SDV.EE]Life Sciences [q-bio]/Ecology environmentChlor-alkali plantEcologyTree ringsSalixMercury[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationMercury (element)Waste Disposal FacilitiesPopuluschemistry13. Climate action[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Environmental chemistryEnvironmental scienceDendrochemistry[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Environmental Pollutants[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Environmental research
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GPU-laskennan optimointi

2013

Näytönohjaimet, grafiikkasuorittimet, tarjoavat rinnakkaisen laskennan alustan, jossa voidaan suorittaa ohjelmakoodia satojen ydinten toimesta. Tämä alusta mahdollistaa matemaattisesti työläiden ongelmien ratkaisemisen tehokkaasti. Grafiikkasuorittimen rinnakkainen suoritusympäristö kuitenkin eroaa suuresti tietokoneen suorittimen peräkkäisestä suoritusympäristöstä. Ongelmien ratkaisemiseksi tehokkaasti rinnakkaisympäristössä on noudettava ohjelmointimenetelmiä, jotka soveltuvat erityisesti rinnakkaisympäristöön. Tässä työssä tarkastellaan rinnakkaisen laskennan perusteita, miten erilaiset ohjelmointimenetelmät vaikuttavat ohjelman suoriutumiseen grafiikkasuorittimella sekä miten voidaan sa…

Graphics processing unitnäytönohjaimetoptimointinäytönohjainparallel computingGPUrinnakkainen laskentaGrafiikkasuoritinCUDAohjelmointioptimization
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Parallel Algorithms for Listing Well-Formed Parentheses Strings

1998

We present two cost-optimal parallel algorithms generating the set of all well-formed parentheses strings of length 2n with constant delay for each generated string. In our first algorithm we generate in lexicographic order well-formed parentheses strings represented by bitstrings, and in the second one we use the representation by weight sequences. In both cases the computational model is based on an architecture CREW PRAM, where each processor performs the same algorithm simultaneously on a different set of data. Different processors can access the shared memory at the same time to read different data in the same or different memory locations, but no two processors are allowed to write i…

Gray codeSet (abstract data type)Shared memoryHardware and ArchitectureComputer scienceString (computer science)Parallel algorithmParallel random-access machineLexicographical orderTime complexityAlgorithmSoftwareTheoretical Computer ScienceParallel Processing Letters
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A novel hardware accelerator for the HEVC intra prediction

2015

International audience; A novel hardware accelerator for the High Efficiency Video Coding (HEVC) intra prediction is presented in this paper in order to reduce the computation complexity within this standard and to accelerate the concerned calculations. We propose a new pipelined structure that we called Processing Element (PE) to execute all angular modes, and we repeat it in five paths that our architecture composed of. We present also another structure to carry out the Planar mode. This architecture supports all intra prediction modes for all prediction unit sizes. The synthesis results show that our design can run at 213 MHz for Xilinx Virtex 6 and is capable to process real time 120 10…

HEVC0209 industrial biotechnologyAdderVirtexComputer scienceProcessing element020208 electrical & electronic engineering1080pFPGAs02 engineering and technologyParallel computingIntra prediction[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPlanar0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Hardware accelerationField-programmable gate arrayCoding (social sciences)
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A HARDWARE SOLUTION FOR HEVC INTRA PREDICTION LOSSLESS CODING

2015

International audience; The lossless coding mode of the High Efficiency Video Coding (HEVC) main profile that bypasses transform, quantization, and in-loop filters is described. Compared to the HEVC non-lossless coding mode, the HEVC lossless coding mode provides perfect fidelity and an average bit-rate reduction of 3.2%–13.2%. It also significantly outperforms the existing lossless compression solutions, such as JPEG2000 and JPEG-LS for images as well as WinRAR for data archiving. A fully parallel-based solution is presented in this paper in order to reduce processing time and computation complexity resulting from intra prediction. Two higher performance structures are designed to perform …

HEVC[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-IM ] Computer Science [cs]/Medical Imaginglossless coding[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[INFO.INFO-IM]Computer Science [cs]/Medical Imagingparallel computing 1intra predictionFPGA
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Multi-objective optimisations for a superscalar architecture with selective value prediction

2012

This work extends an earlier manual design space ex ploration of our developed Selective Load Value Pre diction based superscalar architecture to the L2 unified cache. A fter that we perform an automatic design space expl oration using a special developed software tool by varying several architectural parameters. Our goal is to find optim al configurations in terms of CPI (Cycles per Instruction) and energy consumption. By varying 19 architectural parameter s, as we proposed, the design space is over 2.5 millions of billions configurations which obviously means that only heuristic search can be considered. Therefore, we propose dif ferent methods of automatic design space exploratio n based…

Hardware and ArchitectureComputer scienceCycles per instructionSuperscalarValue (computer science)Parallel computingCacheEnergy consumptionElectrical and Electronic EngineeringDesign spaceSoftwareSpace explorationSign (mathematics)IET Computers & Digital Techniques
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SYSTOLIC GENERATION OF k-ARY TREES

1999

The only parallel generating algorithms for k-ary trees are those of Akl and Stojmenović in 1996 and of Vajnovszki and Phillips in 1997. In the first of them, trees are represented by an inversion table and the processor model is a linear aray multicomputer. In the second, trees are represented by bitstrings and the algorithm executes on a shared memory multiprocessor. In this paper we give a parallel generating algorithm for k-ary trees represented by generalized P–sequences for execution on a linear array multicomputer.

Hardware and ArchitectureShared memory multiprocessorProcessor modelWeight-balanced treeParallel algorithmParallel computingInversion tableSoftwareTheoretical Computer ScienceLinear arrayMathematicsVector processorParallel Processing Letters
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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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