Results 61 to 70 of about 79,266 (321)

Benchmarking the cost of thread divergence in CUDA

, 2015
All modern processors include a set of vector instructions. While this gives a tremendous boost to the performance, it requires a vectorized code that can take advantage of such instructions.
Bialas, Piotr, Strzelecki, Adam
core   +1 more source

{CUDA}: Set constraints on GPUs

, 2021
Summary: Set constraints have been introduced in declarative programming languages in the Nineties as a consequence of a broader research on programming with sets and on computable set theory. General Purpose Graphics Processing Units (GPUs), originally developed for graphical purposes (e.g., for high definition video games), emerged recently as a ...
DOVIER AGOSTINO, FORMISANO ANDREA, PONTELLI ENRICO, TARDIVO FABIO   +3 more
openaire   +4 more sources

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

Jezus z czwartej Ewangelii – uzdrowiciel przynoszący życie od Boga

Wrocławski Przegląd Teologiczny, 2023
W porównaniu z Ewangeliami synoptycznymi, w czwartej Ewangelii zwraca uwagę brak relacji o uzdrowieniach dokonywanych przez Jezusa. Nie ma opowieści o uzdrawianiu chromych, chorych na gorączkę, cierpiących z powodu uschłej kończyny, puchliny czy ...
Graham H. Twelftree
doaj   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

Advanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen, Xiaoqing Zhang, Tingyi Dai, Fangfang Gou, Jia Wu   +4 more
wiley   +1 more source

CampProf: A Visual Performance Analysis Tool for Memory Bound GPU Kernels [PDF]

, 2010
Current GPU tools and performance models provide some common architectural insights that guide the programmers to write optimal code. We challenge these performance models, by modeling and analyzing a lesser known, but very severe performance pitfall ...
Aji, Ashwin M., Daga, Mayank, Feng, Wu-chun   +2 more
core   +1 more source

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali, Thomas Mundy, Majid Hosseini, Morteza Bodaghi, Akio Fujiwara, Sejal Shyam Bhatia, Kayla Baker, Elena Bartolone, Dhara Patel, Henry Chu, Raju Gottumukkala, Jonathan Bidwell, Edward D. McCoul   +12 more
wiley   +1 more source

GPU acceleration of brain image proccessing [PDF]

, 2017
Durante los últimos años se ha venido demostrando el alto poder computacional que ofrecen las GPUs a la hora de resolver determinados problemas. Al mismo tiempo, existen campos en los que no es posible beneficiarse completamente de las mejoras ...
Sánchez Rodríguez, Pablo
core  

Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL?

, 2017
Dense Multi-GPU systems have recently gained a lot of attention in the HPC arena. Traditionally, MPI runtimes have been primarily designed for clusters with a large number of nodes.
Banerjee D. S., Barnett M., Chu Ching-Hsiang, Hoefler T., Jia Yangqing, Liu J., Mamidala A. R., Shi R., Venkatesh A.   +8 more
core   +1 more source