Results 81 to 90 of about 1,496,086 (365)

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs [PDF]

arXiv, 2019
GPUs offer orders-of-magnitude higher memory bandwidth than traditional CPU-only systems. However, GPU device memory tends to be relatively small and the memory capacity can not be increased by the user. This paper describes Buddy Compression, a scheme to increase both the effective GPU memory capacity and bandwidth while avoiding the downsides of ...
arxiv  

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

Energies, 2018
Accurate electrical load forecasting is of great significance to help power companies in better scheduling and efficient management. Since high levels of uncertainties exist in the load time series, it is a challenging task to make accurate short-term ...
Chujie Tian, Jian Ma, Chunhong Zhang, Panpan Zhan   +3 more
semanticscholar   +1 more source

Patient Perceptions of Medication Therapy for Prevention of Posttraumatic Osteoarthritis Following Anterior Cruciate Ligament Injury: A Qualitative Content Analysis

Arthritis Care &Research, EarlyView.
Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell, Donald P. Mitchener, Kelly C. Frier, Morgan H. Jones, Elena Losina, Nick Bansback, Liana Fraenkel, Jason S. Kim, Jeffrey N. Katz, Faith Selzer, Adam Easterbrook   +10 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Memory – what is it and how it works?

Zdravniški Vestnik, 2006
: Memory system presents a basis for many cognitive functions and at the same time it itself depends on their normal function. The purpose of the article is to show how it works as an array of interacting systems, each capable of registring information ...
Sanja Šešok
doaj  

Meningeal γδ T cell–derived IL-17 controls synaptic plasticity and short-term memory

Science immunology, 2019
Meningeal γδ T cells are biased toward IL-17 production and control hippocampal synaptic plasticity and short-term memory. T cells that promote memories There is now a growing appreciation of cross-talk between the nervous and immune systems.
M. Ribeiro, Helena C. Brigas, Mariana Temido-Ferreira, Paula A. Pousinha, Tommy Regen, C. Santa, J. Coelho, Inês Marques-Morgado, C. Valente, Sara Omenetti, B. Stockinger, A. Waisman, B. Manadas, Luísa V. Lopes, B. Silva-Santos, J. Ribot   +15 more
semanticscholar   +1 more source

Neural Network Adaptive Control With Long Short‐Term Memory

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc, Abdullah Habboush, Yigit Gurses, Yildiray Yildiz, Anuradha M. Annaswamy   +4 more
wiley   +1 more source

Protecting Memory-Performance Critical Sections in Soft Real-Time Applications [PDF]

arXiv, 2015
Soft real-time applications such as multimedia applications often show bursty memory access patterns---regularly requiring a high memory bandwidth for a short duration of time. Such a period is often critical for timely data processing. Hence, we call it a memory-performance critical section.
arxiv  

CARAM: A Content-Aware Hybrid PCM/DRAM Main Memory System Framework [PDF]

arXiv, 2020
The emergence of Phase-Change Memory (PCM) provides opportunities for directly connecting persistent memory to main memory bus. While PCM achieves high read throughput and low standby power, the critical concerns are its poor write performance and limited durability, especially when compared to DRAM.
arxiv  

Effects of Dalcroze Eurhythmics Exercise Versus Multicomponent Exercise on Physical and Cognitive Function, and Falls in Older Adults: The EPHYCOS Randomized Controlled Trial

Advanced Biology, EarlyView.
In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars, Natalia Fernandez, François Herrmann, René Rizzoli, Serge Ferrari, Christophe Graf, Patrik Vuilleumier, Andrea Trombetti   +7 more
wiley   +1 more source