Listar AC - Contribuciones a congresos científicos por título
Mostrando ítems 28-47 de 101
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Energy Efficiency of Software Transactional Memory in a Heterogeneous Architecture
(2016-09-07)Hardware vendors make an important effort creating low-power CPUs that keep battery duration and durability above acceptable levels. In order to achieve this goal and provide good performance-energy for a wide variety of ... -
Entropy-based High Performance Computation of Boolean SNP-SNP Interactions Using GPUs
(2014-05-02)It is being increasingly accepted that traditional statistical Single Nucleotide Polymorphism (SNP) analysis of Genome-Wide Association Studies (GWAS) reveals just a small part of the heritability in complex diseases. ... -
Evaluación del consumo energético de la memoria transaccional en procesadores heterogéneos
(2016)Actualmente existe una enorme cantidad de dispositivos y sistemas, como ordenadores portátiles y teléfonos móviles, que dependen de una batería para su funcionamiento. Como consecuencia, el hardware que incorporan debe ser ... -
Evaluation of CNN architectures for gait recognition based on optical flow maps
(2017)This work targets people identification in video based on the way they walk (\ie gait) by using deep learning architectures. We explore the use of convolutional neural networks (CNN) for learning high-level descriptors ... -
Exploiting Vector Extensions to Accelerate Time Series Analysis.
(SARTECO, 2022-09-21)Time series analysis is an important research topic and a key step in monitoring and predicting events in many fields. Recently, the Matrix Profile method, and particularly two of its Euclidean-distance-based implementations ... -
Explotando el nuevo módulo OpenCL de Intel TBB
(2018-07-20)Este artículo tiene como objetivo contribuir al desarrollo de la programación paralela trabajando en una de las herramientas desarrolladas por Intel: Intel Threading Building Blocks (Intel TBB). Hemos implementado una ... -
Expressing Heterogeneous Parallelism in C++ with Threading Building Blocks
(2017-12-18)Due to energy constraints, high performance computing platforms are becoming increasingly heterogeneous, achieving greater performance per watt through the use of hardware that is tuned to specific computational kernels ... -
A first step to accelerating fingerprint matching based on deformable minutiae clustering
(2018-07-12)Fingerprint recognition is one of the most used biometric methods for authentication. The identification of a query fingerprint requires matching its minutiae against every minutiae of all the fingerprints of the database. ... -
Floating Point Square Root under HUB Format
(2017-09-26)Unit-Biased (HUB) is an emerging format based on shifting the representation line of the binary numbers by half unit in the last place. The HUB format is specially relevant for computers where rounding to nearest is ... -
Gait recognition and fall detection with inertial sensors
(2019-11-26)In contrast to visual information that is recorded by cameras placed somewhere, inertial information can be obtained from mobile phones that are commonly used in daily life. We present in this talk a general deep learning ... -
Gait recognition applying Incremental learning
(2019-11-25)when new knowledge needs to be included in a classifier, the model is retrained from scratch using a huge training set that contains all available information of both old and new knowledge. However, in this talk, we present ... -
Generating order policies by SDP: non-stationary demand and service level constraints
(2015-07-06)Inventory control implies dynamic decision making. Therefore, dynamic programming seems an appropriate approach to look for order policies. For finite horizon planning, the implementation of service level constraints ... -
GPGPU: Challenges ahead
(2015-11-13)Evolución, presente y futuro de la memoria DRAM del computador desde el punto de vista de los procesadores gráficos actuales, y su contribución presente y futura para la aceleración de aplicaciones científicas. -
GPUs for high performance computing, Deep learning and beyond
(2019-10-24)After an impressive evolution within the last decade, Graphics Processing Units (GPUs) constitute nowadays a solid trend to accelerate scientific applications. This talk unveils the GPU architecture from an ... -
GPUs para HPC: Logros y perspectivas futuras
(2013-10-18)Hace una década comenzábamos a mejorar las primeras aplicaciones científicas en GPUs utilizando Cg y OpenGL. Ahora CUDA y OpenCL han tomado el relevo, marcando un ritmo vertiginoso en la aceleración de códigos procedentes ... -
Hardware support for Local Memory Transactions on GPU Architectures
(2015-06-26)Graphics Processing Units (GPUs) are popular hardware accelerators for data-parallel applications, enabling the execution of thousands of threads in a Single Instruction - Multiple Thread (SIMT) fashion. However, the SIMT ... -
Hardware support for scratchpad memory transactions on GPU architectures
(Springer, 2017-08-29)Graphics Processing Units (GPUs) have become the accelerator of choice for data-parallel applications, enabling the execution of thousands of threads in a Single Instruction - Multiple Thread (SIMT) fashion. Using OpenCL ... -
Heuristics for Longest Edge Selection in Simplicial Branch and Bound
(2015-07-06)Simplicial partitions are suitable to divide a bounded area in branch and bound. In the iterative re nement process, a popular strategy is to divide simplices by their longest edge, thus avoiding needle-shaped simplices. ... -
High-Throughput DTW accelerator with minimum area in AMD FPGA by HLS.
(2023)Dynamic Time Warping (DTW) is a dynamic programming algorithm that is known to be one of the best methods to measure the similarities between two signals, even if there are variations in the speed of those. It is ... -
HPC Accelerators with 3D Memory
(2016-09-13)After a decade evolving in the High Performance Computing arena, GPU-equipped supercomputers have con- quered the top500 and green500 lists, providing us unprecedented levels of computational power and memory bandwidth. ...