Results 131 to 140 of about 178,091 (333)

Hierarchical Place Trees: A Portable Abstraction for Task Parallelism and Data Movement [PDF]

, 2010
Yonghong Yan, Jisheng Zhao, Yi Guo, Vivek Sarkar   +3 more
openalex   +1 more source

Optimistic Data Parallelism for FPGA-Accelerated Sketching [PDF]

, 2023
Martin Kiefer, Ilias Poulakis, Eleni Tzirita Zacharatou, Volker Markl   +3 more
openalex   +1 more source

Corticosterone and Mitochondrial Efficiency Are Associated With Changes in DNA Oxidative Damage During an Acute Stress Response in Leach's Storm‐Petrels (Hydrobates leucorhous)

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT The ability of organisms to effectively respond to challenges is critical for survival. We investigated how an acute stressor affected corticosterone, mitochondrial function, and DNA oxidative damage in a wild population of Leach's storm‐petrels (Hydrobates leucorhous).
Kayla E. Lichtner, Jack K. Dziubek, Nicole A. Joseph, Sarah E. Chapman, Tori J. Chace, Dongxiao Sun, Zachary T. Bitzer, Antoine Stier, Robert A. Mauck, Patricia L. Jones, Mark F. Haussmann   +10 more
wiley   +1 more source

Efficient Data Race Detection for Async-Finish Parallelism [PDF]

, 2010
Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin Vechev, Eran Yahav   +4 more
openalex   +1 more source

High‐Precision Automated Setting of Arbitrary Magnitude and Phase of Mach–Zehnder Interferometers for Scalable Optical Computing

Laser &Photonics Reviews, EarlyView.
This work presents a novel technique to control photonic accelerators based on integrated Mach–Zehnder interferometers, enabling resolutions of 7.01 and 8.04 bits for the output power and phase setting. The technique uses local feedback loops that ensure precise calibration‐free programming of the device transfer function, enabling highly accurate ...
Alessandro di Tria, Gabriele Cavicchioli, Pietro Giannoccaro, Francesco Morichetti, Andrea Melloni, Giorgio Ferrari, Marco Sampietro, Francesco Zanetto   +7 more
wiley   +1 more source

Exploiting Network Parallelism for Improving Data Transfer Performance [PDF]

, 2012
Dan Gunter, Raj Kettimuthu, Ezra Kissel, Martin Swany, Jun Yi, Jason Zurawski   +5 more
openalex   +1 more source

Binary Pattern Classification with a Photonic Neuromorphic Device Based on Optical Receptrons

Laser &Photonics Reviews, EarlyView.
Practical implementation of an array of optical receptrons for the classification of digital patterns through the exploitation of light random scattering and interference processes. Training is performed by an innovative random search protocol. Abstract Photonic systems for data processing are receiving increasing interest because of their potential to
Bruno Paroli, Alessandro Malfer, Marco A.C. Potenza, Mirko Siano, Paolo Milani   +4 more
wiley   +1 more source

High throughput virtual screening with data level parallelism in multi-core processors [PDF]

, 2012
Upul Senanayake, Rahal Prabuddha, Roshan Ragel   +2 more
openalex   +1 more source

Gender Is the Main Predictor of Wearing‐Off and Dyskinesia in Levodopa‐Naïve Patients with Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Evidence suggests that female gender represents a risk factor for the development of motor/nonmotor fluctuations and dyskinesia in Parkinson's disease (PD). So far, no prospective study has analyzed this aspect in relation to the introduction of levodopa treatment.
Maria Teresa Pellecchia, Marina Picillo, Maria Claudia Russillo, Marianna Amboni, Gennarina Arabia, Laura Avanzino, Margherita Canesi, Alessia Catania, Roberto Ceravolo, Calogero Edoardo Cicero, Roberto Cilia, Isabel Colangelo, Giovanna Dati, Rosa De Micco, Anna De Rosa, Alessio Di Fonzo, Roberto Eleopra, Vincenza Fetoni, Barbara Garavaglia, Augusta Giglio, Martina Giuntini, Federica Invernizzi, Giulia Lazzeri, Roberta Marchese, Alessandra Nicoletti, Claudio Pacchetti, Celeste Panteghini, Manuela Pilleri, Fabiana Radicati, Chiara Reale, Cesa Scaglione, Andrea Soricelli, Fabrizio Stocchi, Alessandro Tessitore, Laura Vacca, Maria Antonietta Volontè, Graziella Volpi, Roberta Zangaglia, Francesco Amato, Carlo Ricciardi, Michela Russo, Paolo Barone   +41 more
wiley   +1 more source

GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials

Materials Genome Engineering Advances, EarlyView.
Graphics processing units molecular dynamics (GPUMD) is an open‐source high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials. We present the GPUMD 4.0 release, with a comprehensive review of its development history, theoretical foundations, supported interatomic potential functions and ...
Ke Xu, Hekai Bu, Shuning Pan, Eric Lindgren, Yongchao Wu, Yong Wang, Jiahui Liu, Keke Song, Bin Xu, Yifan Li, Tobias Hainer, Lucas Svensson, Julia Wiktor, Rui Zhao, Hongfu Huang, Cheng Qian, Shuo Zhang, Zezhu Zeng, Bohan Zhang, Benrui Tang, Yang Xiao, Zihan Yan, Jiuyang Shi, Zhixin Liang, Junjie Wang, Ting Liang, Shuo Cao, Yanzhou Wang, Penghua Ying, Nan Xu, Chengbing Chen, Yuwen Zhang, Zherui Chen, Xin Wu, Wenwu Jiang, Esme Berger, Yanlong Li, Shunda Chen, Alexander J. Gabourie, Haikuan Dong, Shiyun Xiong, Ning Wei, Yue Chen, Jianbin Xu, Feng Ding, Zhimei Sun, Tapio Ala‐Nissila, Ari Harju, Jincheng Zheng, Pengfei Guan, Paul Erhart, Jian Sun, Wengen Ouyang, Yanjing Su, Zheyong Fan   +54 more
wiley   +1 more source