Listar GI-GAC - Congresos, conferencias, etc. por título
Mostrando ítems 33-52 de 53
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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, ... -
The HPS3 Service: Reduction of Cost and Transfer Time for Storing Data on Clouds
(IEEE Computer Society, 2015-03-12)[Abstract] In the past several years, organizations have been changing their storage methods as the volume of data they managed has increased. The cloud computing paradigm offers new ways of storing data based on scalability ... -
The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism
(Springer, 2022)[Abstract] Data-flow computing is a natural and convenient paradigm for expressing parallelism. This is particularly true for tools that automatically extract the data dependencies among the tasks while allowing to exploit ... -
Towards Low-Latency Model-Oriented Distributed Systems Management
(Springer, 2007)[Abstract] Windows and Unix systems have been traditionally very different with regard to configuration storage and management. In this paper we have adapted our CIM-based model-driven management framework, AdCIM, to ... -
Using Artificial Vision Techniques for Individual Player Tracking in Sport Events
(M D P I AG, 2019-07-31)[Abstract] We introduce a hybrid approach that can track an individual football player in a video sequence. This solution achieves a good balance between speed and accuracy, combining traditional object tracking techniques ... -
Using the Cloud for Parameter Estimation Problems: Comparing Spark vs MPI with a Case-Study
(Institute of Electrical and Electronics Engineers, 2017-07-13)[Abstract] Systems biology is an emerging approach focused in generating new knowledge about complex biological systems by combining experimental data with mathematical modeling and advanced computational techniques. Many ...
