Listar por tema "high performance computing"
Mostrando ítems 1-10 de 10
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A framework for genomic sequencing on clusters of multicore and manycore processors
Sage (2016-06)The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ... -
Accelerating urban scale simulations leveraging local spatial 3D structure
Elsevier (2022-06-15)This paper presents a hybrid methodology for accelerating Computational Fluid Dynamics (CFD) simulations intertwining inferences from deep neural networks (DNN). The strategy leverages the local spatial data of the velocity ... -
Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs
Springer (2021)We contribute to the optimization of the sparse matrix-vector product on graphics processing units by introducing a variant of the coordinate sparse matrix layout that compresses the integer representation of the matrix ... -
Concurrent and Accurate RNA Sequencing on Multicore Platforms
Departament d'Enginyeria i Ciència dels Computadors, Universitat Jaume I (2013-04-02)In this paper we introduce a novel parallel pipeline for fast and accurate mapping of RNA sequences on servers equipped with multicore processors. Our software, named HPG-aligner1, leverages the speed of the Burrows-Whe ... -
Fine-grained bit-flip protection for relaxation methods
Elsevier (2019-09)Resilience is considered a challenging under-addressed issue that the high performance computing community (HPC) will have to face in order to produce reliable Exascale systems by the beginning of the next decade. As part ... -
Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
IEEE (2014)Wider coverage of observation missions will increase onboard power restrictions while, at the same time, pose higher demands from the perspective of processing time, thus asking for the exploration of novel high-performance ... -
Matrix inversion on CPU–GPU platforms with applications in control theory
Wiley (2013-06-10)In this paper, we tackle the inversion of large-scale dense matrices via conventional matrix factorizations (LU, Cholesky, and LDLT) and the Gauss–Jordan method on hybrid platforms consisting of a multicore CPU and a ... -
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors
Elsevier (2018-03)Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high performance implementations of the BLAS ... -
Programming parallel dense matrix factorizations with look-ahead and OpenMP
Springer (2019)We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extracts concurrency from a multi-threaded ... -
Tuning stationary iterative solvers for fault resilience
ACM. Association for Computing Machinery (2015)As the transistor’s feature size decreases following Moore’s Law, hardware will become more prone to permanent, intermittent, and transient errors, increasing the number of failures experienced by applications, and ...