Listar Grupo de Arquitectura de Computadores (GAC) por título
Mostrando ítems 195-214 de 236
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Rendering of Bézier Surfaces on Handheld Devices
(Vaclav Skala - Union Agency, 2013)[Abstract] Bézier surfaces have been widely employed in the designing of complex scenes with high-quality results. Nevertheless, parametric surfaces cannot be directly rendered in the current GPUs of modern handheld devices. ... -
Representing Integer Sequences Using Piecewise-Affine Loops
(MDPI, 2021)[Abstract] A formal, high-level representation of programs is typically needed for static and dynamic analyses performed by compilers. However, the source code of target applications is not always available in an analyzable ... -
Resilient MPI applications using an application-level checkpointing framework and ULFM
(Springer New York LLC, 2017-01)[Abstract] Future exascale systems, formed by millions of cores, will present high failure rates, and long-running applications will need to make use of new fault tolerance techniques to ensure successful execution completion. ... -
RGen: Data Generator for Benchmarking Big Data Workloads
(MDPI, 2021)[Abstract] This paper presents RGen, a parallel data generator for benchmarking Big Data workloads, which integrates existing features and new functionalities in a standalone tool. The main functionalities developed in ... -
Running scientific codes on amazon EC2: a performance analysis of five high-end instances
(Springer New York LLC, 2013)[Abstract] Amazon Web Services (AWS) is a well-known public Infrastructure-as-a-Service (IaaS) provider whose Elastic Computing Cloud (EC2) o ering includes some instances, known as cluster instances, aimed at High-Performance ... -
Scalable PGAS collective operations in NUMA clusters
(Springer New York LLC, 2014-12)[Abstract] The increasing number of cores per processor is turning manycore-based systems in pervasive. This involves dealing with multiple levels of memory in non uniform memory access (NUMA) systems and processor cores ... -
ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ... -
Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments
(Multidisciplinary Digital Publishing Institute, 2013)To bring cutting edge robotics from research centres to social environments, the robotics community must start providing affordable solutions: the costs must be reduced and the quality and usefulness of the robot services ... -
SeQual-Stream: approaching stream processing to quality control of NGS datasets
(BMC, 2023-10)[Abstract]: Background Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, ... -
SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets
(Institute of Electrical and Electronics Engineers, 2020-08-07)[Abstract] This paper presents SeQual, a scalable tool to efficiently perform quality control of large genomic datasets. Our tool currently supports more than 30 different operations (e.g., filtering, trimming, formatting) ... -
Serverless-like platform for container-based YARN clusters
(Elsevier, 2024-06)[Abstract]: Serverless computing is an emerging paradigm that has gained a lot of relevance in recent years, as it allows users to consume computing resources without worrying about the underlying infrastructure and pay ... -
Servet: A Benchmark Suite for Autotuning on Multicore Clusters
(Institute of Electrical and Electronics Engineers, 2010-05-24)[Abstract] MapReduce is a powerful tool for processing large data sets used by many applications running in distributed environments. However, despite the increasing number of computationally intensive problems that require ... -
SMusket: Spark-based DNA error correction on distributed-memory systems
(Elsevier B.V., 2020)[Abstract]: Next-Generation Sequencing (NGS) technologies have revolutionized genomics research over the last decade, bringing new opportunities for scientists to perform groundbreaking biological studies. Error correction ... -
Solving Large Problem Sizes of Index-Digit Algorithms on GPU: FFT and Tridiagonal System Solvers
(Institute of Electrical and Electronics Engineers, 2018)[Abstract] Current Graphics Processing Units (GPUs) are capable of obtaining high computational performance in scientific applications. Nevertheless, programmers have to use suitable parallel algorithms for these architectures ... -
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
(Elsevier BV, 2020-12)[Abstract] Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ... -
SparkEC: speeding up alignment-based DNA error correction tools
(BioMed Central (Springer), 2022)[Abstract]: In recent years, huge improvements have been made in the context of sequencing genomic data under what is called Next Generation Sequencing (NGS). However, the DNA reads generated by current NGS platforms are ... -
Sparse Givens QR Factorization on a Multiprocessor
(IEEE Computer Society, 1996-06-01)[Abstract] We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by means of Givens rotations. Nonzero elements of the matrix M to be decomposed are stored in a one dimensional ... -
Sparse Householder QR factorization on a mesh
(IEEE Computer Society, 1996-01)[Abstract] We analyze the parallelization of QR factorization by means of Householder transformations. This parallelization is carried out on a machine with a mesh topology (a 2-D torus to be more precise). We use a cyclic ... -
Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs
(Springer, 2017)[Abstract]: The discovery of higher-order epistatic interactions is an important task in the field of genome wide association studies which allows for the identification of complex interaction patterns between multiple ... -
STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning
(Institute of Electrical and Electronics Engineers, 2024-05)[Abstract]: The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands. Network pruning has demonstrated ...
