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Big data analytics in the cloud: Spark on hadoop vs mpi/openmp on beowulf
One of the biggest challenges of the current big data landscape is our inability to pro-cess
vast amounts of information in a reasonable time. In this work, we explore and com-pare two …
vast amounts of information in a reasonable time. In this work, we explore and com-pare two …
Rapid shape acquisition using color structured light and multi-pass dynamic programming
This paper presents a color structured light technique for recovering object shape from one
or more images. The technique works by projecting a pattern of stripes of alternating colors …
or more images. The technique works by projecting a pattern of stripes of alternating colors …
The elphbolt ab initio solver for the coupled electron-phonon Boltzmann transport equations
Abstract elphbolt is a modern Fortran (2018 standard) code for efficiently solving the coupled
electron–phonon Boltzmann transport equations from first principles. Using results from …
electron–phonon Boltzmann transport equations from first principles. Using results from …
GASNet-EX: A high-performance, portable communication library for exascale
Abstract Partitioned Global Address Space (PGAS) models, typified by languages such as
Unified Parallel C (UPC) and Co-Array Fortran, expose one-sided communication as a key …
Unified Parallel C (UPC) and Co-Array Fortran, expose one-sided communication as a key …
[HTML][HTML] Hybrid time-dependent ginzburg–landau simulations of block copolymer nanocomposites: nanoparticle anisotropy
Block copolymer melts are perfect candidates to template the position of colloidal
nanoparticles in the nanoscale, on top of their well-known suitability for lithography …
nanoparticles in the nanoscale, on top of their well-known suitability for lithography …
A parallel Fortran framework for neural networks and deep learning
M Curcic - Acm sigplan fortran forum, 2019 - dl.acm.org
This paper describes neural-fortran, a parallel Fortran framework for neural networks and
deep learning. It features a simple interface to construct feed-forward neural networks of …
deep learning. It features a simple interface to construct feed-forward neural networks of …
High-performance epistasis detection in quantitative trait GWAS
NT Weeks, GR Luecke, BM Groth… - … Journal of High …, 2018 - journals.sagepub.com
epiSNP is a program for identifying pairwise single nucleotide polymorphism (SNP)
interactions (epistasis) in quantitative-trait genome-wide association studies (GWAS). A …
interactions (epistasis) in quantitative-trait genome-wide association studies (GWAS). A …
Comparing Coarray Fortran (CAF) with MPI for several structured mesh PDE applications
Abstract Language-based approaches to parallelism have been incorporated into the
Fortran standard. These Fortran extensions go under the name of Coarray Fortran (CAF) …
Fortran standard. These Fortran extensions go under the name of Coarray Fortran (CAF) …
Coarray Fortran parallel implementation of a finite volume method-based aircraft ice accretion simulation code
The aircraft industry often uses computational methods to quantify ice accretion, investigate
aerodynamic penalties, and conduct certification processes. The computational simulation of …
aerodynamic penalties, and conduct certification processes. The computational simulation of …
Fortran 2008 coarrays
Coarrays are a Fortran 2008 standard feature intended for SIMD type parallel programming.
The runtime environment starts a number of identical executable images of the coarray …
The runtime environment starts a number of identical executable images of the coarray …