Results 111 to 120 of about 14,041 (338)

Pharmacological Inhibition of FKBP51 Mitigates Early Life Adversity‐Induced Social Deficits in Male Mice

Advanced Science, EarlyView.
Early life adversity triggers persistent social subordination and brain‐wide molecular dysregulation. Pharmacological inhibition of the stress‐mediator FKBP51 during the adversity period prevents these long‐term deficits and restores normative social hierarchy.
Joeri Bordes, Xiuqi Ji, Serena Gasperoni, Choham Sudre‐Chinsky, Amirali Kalbasi, Daniela Harbich, Cornelia Flachskamm, Paula Fontanet, Sowmya Narayan, Manfred Uhr, Christian Namendorf, Camilla Bellone, Alon Chen, Felix Hausch, Juan Pablo Lopez, Mathias V. Schmidt   +15 more
wiley   +1 more source

Analysis of Fast Fourier Transformations algorithm for CUDA Architecture

Lietuvos Matematikos Rinkinys, 2012
In this work Fast Fourier transformation algorithm for general purpose graphics processing unit processing (GPGPU) is discussed. Algorithm structure and individual stages performance were analysed.
Beatričė Andziulienė, Evaldas Žulkas, Audrius Kuprinavičius   +2 more
doaj   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

GPU computing performance analysis on matrix multiplication

The Journal of Engineering, 2019
The machine learning has been widely used in intelligent data mining. The high-computational complexity of machine learning and huge data volume present challenges to computing platforms.
Zhibin Huang, Ning Ma, Shaojun Wang, Yu Peng   +3 more
doaj   +1 more source

Accelerate the Parameterization of Unified Microphysics Across Scales (PUMAS) on the graphics processing unit (GPU) with directive-based methods

, 2022
Jian Sun, John M. Dennis, Sheri Mickelson, Brian Vanderwende, Andrew Gettelman, Katherine Thayer‐Calder   +5 more
openalex   +2 more sources

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Using Graphics Processor Units (GPUs) for Automatic Video Structuring [PDF]

, 2007
Peter Kehoe, Alan F. Smeaton
openalex   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

A Graphics Processing Unit Implementation of the Particle Filter

, 2006
Modern graphics cards for computers, and especially their graphics processing units (GPUs), are designed for fast rendering of graphics. In order to achieve this GPUs are equipped with a parallel architecture which can be exploited for general-purpose ...
Jeroen D. Hol, Rickard Karlsson, Fredrik Gustafsson, Hendeby, Gustaf, Hol, Jeroen, Gustaf Hendeby, Gustafsson, Fredrik, Karlsson, Rickard   +7 more
core   +1 more source

Software Implementation of 10G-EPON Downstream Physical-Layer Processing Adopting CPU-GPU Cooperative Computing for Flexible Access Systems

IEEE Access, 2019
The application of network function virtualization (NFV) and software-defined networks (SDNs) to optical access systems continues to attract a lot of attention.
Takahiro Suzuki, Sang-Yuep Kim, Jun-Ichi Kani, Jun Terada   +3 more
doaj   +1 more source