Listar GI-GAC - Congresos, conferencias, etc. por título
Mostrando ítems 28-47 de 53
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Non-blocking Java Communications Support on Clusters
(Springer, 2006)[Abstract] This paper presents communication strategies for supporting efficient non-blocking Java communication on clusters. The communication performance is critical for the overall cluster performance. It is possible ... -
NPB-MPJ: NAS Parallel Benchmarks Implementation for Message-Passing in Java
(IEEE Computer Society, 2009-05-08)[Abstract] Java is a valuable and emerging alternative for the development of parallel applications, thanks to the availability of several Java message-passing libraries and its full multithreading support. The combination ... -
Ontological Con guration Management for Wireless Mesh Routers
(Springer, 2009)[Abstract] Wireless mesh networks (WMNs) are a category of wireless networks that are self-organized, robust and which offer more flexible client coverage with less equipment requirements than wired networks. In WMNs, mesh ... -
Parallel Sparse Modified Gram-Schmidt QR Decomposition
(Springer, 1996)[Abstract] We present a parallel computational method for the QR decomposition with column pivoting of a sparse matrix by means of Modified Gram-Schmidt orthogonalization. Nonzero elements of the matrix M to be decomposed ... -
Parallelization of ARACNe, an Algorithm for the Reconstruction of Gene Regulatory Networks
(M D P I AG, 2019-07-31)[Abstract] Gene regulatory networks are graphical representations of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression. There are different computational ... -
Performance analysis of Java message-passing libraries on fast Ethernet, Myrinet and SCI clusters
(IEEE Computer Society, 2004-01-08)[Abstract] The use of Java for parallel programming on clusters according to the message-passing paradigm is an attractive choice. In this case, the overall application performance will largely depend on the performance ... -
Performance Evaluation of Big Data Frameworks for Large-Scale Data Analytics
(IEEE Computer Society, 2017-02-06)[Abstract] The increasing adoption of Big Data analytics has led to a high demand for efficient technologies in order to manage and process large datasets. Popular MapReduce frameworks such as Hadoop are being replaced by ... -
Performance Evaluation of MPI, UPC and OpenMP on Multicore Architectures
(Springer, 2009)[Abstract] The current trend to multicore architectures underscores the need of parallelism. While new languages and alternatives for supporting more efficiently these systems are proposed, MPI faces this new challenge. ... -
Performance Evaluation of Unified Parallel C Collective Communications
(IEEE Computer Society, 2009-07-17)[Abstract] Unified Parallel C (UPC) is an extension of ANSI C designed for parallel programming. UPC collective primitives, which are part of the UPC standard, increase programming productivity while reducing the communication ... -
Performance Optimization of a Parallel Error Correction Tool
(MDPI, 2021)[Abstract] Due to the continuous development in the field of Next Generation Sequencing (NGS) technologies that have allowed researchers to take advantage of greater genetic samples in less time, it is a matter of relevance ... -
PolyBench/Python: Benchmarking Python Environments With Polyhedral Optimizations
(Association for Computing Machinery, 2021-03)[Abstract] Python has become one of the most used and taught languages nowadays. Its expressiveness, cross-compatibility and ease of use have made it popular in areas as diverse as finance, bioinformatics or machine ... -
Power Budgeting of Big Data Applications in Container-based Clusters
(Institute of Electrical and Electronics Engineers, 2020-11-02)[Abstract] Energy consumption is currently highly regarded on computing systems for many reasons, such as improving the environmental impact and reducing operational costs considering the rising price of energy. Previous ... -
Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM routine on Ampere GPUs
(Institute of Electrical and Electronics Engineers, 2022)[Abstract]: The Deep Learning (DL) community found in pruning techniques a good way to reduce the models' resource and energy consumption. These techniques lead to smaller sparse models, but sparse computations in GPUs ... -
Program Behavior Characterization Through Advanced Kernel Recognition
(Springer, 2007)[Abstract] Understanding program behavior is at the foundation of program optimization. Techniques for automatic recognition of program constructs (from now on, computational kernels) characterize the behavior of program ... -
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 ... -
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 ... -
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 ... -
Synthesis of Multiresolution Scenes with Global Illumination on a GPU
(SciTePress, 2012-02)[Abstract] The radiosity computation has the important feature of producing view independent results, but these results are mesh dependent and, in consequence, are attached to a specific level of detail in the input mesh. ... -
Texture Mapping on NURBS Surface
(M D P I AG, 2018-09-17)[Abstract] Texture mapping allows high resolution details over 3D surfaces. Nevertheless, texture mapping has a number of unresolved problems such as distortion, boundary between textures or filtering. On the other hand, ...
