Results 81 to 90 of about 209,152 (323)

Programming GPUs with CUDA [PDF]

, 2015
El documento contiene el material de un tutorial impartido en el congreso. No es una artículo científico en formato tradicional.Analizamos las prestaciones y características de las distintas generaciones de procesadores gráficos desarrollados por Nvidia ...
Ujaldon-Martinez, Manuel
core  

A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs

, 2017
Analysis of DNA samples is an important step in forensics, and the speed of analysis can impact investigations. Comparison of DNA sequences is based on the analysis of short tandem repeats (STRs), which are short DNA sequences of 2-5 base pairs.
Helfer, Brian, Kepner, Jeremy, Reuther, Albert, Ricke, Darrell O., Samsi, Siddharth   +4 more
core   +1 more source

ECC2K-130 on NVIDIA GPUs [PDF]

, 2010
A major cryptanalytic computation is currently underway on multiple platforms, including standard CPUs, FPGAs, PlayStations and Graphics Processing Units (GPUs), to break the Certicom ECC2K-130 challenge. This challenge is to compute an elliptic-curve discrete logarithm on a Koblitz curve over $\rm F_{2^{131}}$ .
Bernstein D.J., Chen H.-C., Cheng C.-M., Lange T., Niederhagen R., Schwabe P., Yang B.-Y.   +6 more
openaire   +2 more sources

Nvidia makes it easy to embed AI: The Jetson nano packs a lot of machine-learning power into DIY projects - [Hands on]

, 2020
When opportunity knocks, open the door: No one has taken heed of the adage like Nvidia, which has transformed itself from a company focused on catering to the needs of video gamers to one at the heart of the artificial-intelligence revolution.
S. Cass
semanticscholar   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations

Journal of Advances in Modeling Earth Systems
Modern climate projections often suffer from inadequate spatial and temporal resolution due to computational limitations, resulting in inaccurate representations of sub‐grid processes.
Zeyuan Hu, Akshay Subramaniam, Zhiming Kuang, Jerry Lin, Sungduk Yu, Walter M. Hannah, Noah D. Brenowitz, Josh Romero, Michael S. Pritchard   +8 more
doaj   +1 more source

Recognition of Hand Gesture Sequences by Accelerometers and Gyroscopes

Applied Sciences, 2020
The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by ...
Yen-Cheng Chu, Yun-Jie Jhang, Tsung-Ming Tai, Wen-Jyi Hwang   +3 more
doaj   +1 more source

Journal Staff [PDF]

, 2012
         The fast Fourier transform (FFT) plays an important role in digital signal processing (DSP) applications, and its implementation involves a large number of computations.
Sreehari, Ambuluri
core   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Dwarfs on Accelerators: Enhancing OpenCL Benchmarking for Heterogeneous Computing Architectures

, 2018
For reasons of both performance and energy efficiency, high-performance computing (HPC) hardware is becoming increasingly heterogeneous. The OpenCL framework supports portable programming across a wide range of computing devices and is gaining influence ...
Johnston, Beau, Milthorpe, Josh
core   +1 more source