Results 41 to 50 of about 221,250 (263)

A Massively Parallel SMC Sampler for Decision Trees

Algorithms
Bayesian approaches to decision trees (DTs) using Markov Chain Monte Carlo (MCMC) samplers have recently demonstrated state-of-the-art accuracy performance when it comes to training DTs to solve classification problems.
Efthyvoulos Drousiotis, Alessandro Varsi, Alexander M. Phillips, Simon Maskell, Paul G. Spirakis   +4 more
doaj   +1 more source

Highly functional T-cell receptor repertoires are abundant in stem memory T cells and highly shared among individuals

Scientific Reports, 2017
To expand our knowledge of the ontogeny of the T-cell receptor (TCR) repertoire of antigen-specific T-cell subsets, we combined next-generation deep sequencing and single-cell multiplex clonotype analysis to evaluate the diversity and frequency of paired
Takahiko Miyama, Takakazu Kawase, Kazutaka Kitaura, Ren Chishaki, Masashi Shibata, Kumi Oshima, Hiroshi Hamana, Hiroyuki Kishi, Atsushi Muraguchi, Kiyotaka Kuzushima, Hiroh Saji, Tadasu Shin-I, Ryuji Suzuki, Tatsuo Ichinohe   +13 more
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

CaLRS: A Critical-Aware Shared LLC Request Scheduling Algorithm on GPGPU

The Scientific World Journal, 2015
Ultra high thread-level parallelism in modern GPUs usually introduces numerous memory requests simultaneously. So there are always plenty of memory requests waiting at each bank of the shared LLC (L2 in this paper) and global memory.
Jianliang Ma, Jinglei Meng, Tianzhou Chen, Minghui Wu   +3 more
doaj   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Software patterns and data structures for the runtime coordination of robots, with a focus on real-time execution performance

Frontiers in Robotics and AI
This paper introduces software patterns (registration, acquire-release, and cache awareness) and data structures (Petri net, finite state machine, and protocol flag array) to support the coordinated execution of software activities (also called ...
Maria I. Artigas, Maria I. Artigas, Rômulo T. Rodrigues, Rômulo T. Rodrigues, Lars Vanderseypen, Herman Bruyninckx, Herman Bruyninckx, Herman Bruyninckx   +7 more
doaj   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

Controlled Shared Memory (COSM) Isolation: Design and Testbed Evaluation

IEEE Access
Recent memory-sharing approaches, e.g., based on the Compute Express Link (CXL) standard, allow the flexible high-speed sharing of data (i.e., data communication) among multiple hosts.
Vignesh Sundaravarathan, Martin Reisslein, Akhilesh S. Thyagaturu, Nick Ross, Gurpreet Singh Kalsi, Jason Howard, Jan Kaisrlik, Bartosz Matwiejczyk, Marek M. Landowski, Piotr Dorozynski, Harvey Vrsalovic, Sanjaya Tayal   +11 more
doaj   +1 more source

SoftMemoryBox II: A Scalable, Shared Memory Buffer Framework for Accelerating Distributed Training of Large-Scale Deep Neural Networks

IEEE Access, 2020
Distributed processing using high-performance computing resources is essential for developers to train large-scale deep neural networks (DNNs). The major impediment to distributed DNN training is the communication bottleneck during the parameter exchange
Shinyoung Ahn, Eunji Lim
doaj   +1 more source

Research on parallel algorithm of high-power microwave devices simulation based on MPI-3

AIP Advances, 2022
Simulation of high-power microwave source devices generally uses parallel algorithms to speed up the operation. In recent years, with the upgrade of parallel technology, the parallel efficiency of the particle simulation software has been further ...
Yulan Hu, Dagang Liu, Laqun Liu, Huihui Wang, Qiang Li   +4 more
doaj   +1 more source