Results 11 to 20 of about 209,152 (323)

Going to Extremes: Weakly Supervised Medical Image Segmentation

Machine Learning and Knowledge Extraction, 2021
Medical image annotation is a major hurdle for developing precise and robust machine-learning models. Annotation is expensive, time-consuming, and often requires expert knowledge, particularly in the medical field.
Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu   +4 more
doaj   +1 more source

Harvesting graphics power for MD simulations [PDF]

, 2007
We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GPU) in the NVIDIA CUDA language. We tested our code on a modern GPU, the NVIDIA GeForce 8800 GTX.
A. Arnold, Anderson J.A., D. Frenkel, Fernando R., Frenkel D., J.A. van Meel, Li W., Makino J., Moreland K., R.G. Belleman, Rost R.J., S.F. Portegies Zwart   +11 more
core   +12 more sources

Developing Efficient Discrete Simulations on Multicore and GPU Architectures [PDF]

, 2020
In this paper we show how to efficiently implement parallel discrete simulations on multicoreandGPUarchitecturesthrougharealexampleofanapplication: acellularautomatamodel of laser dynamics.
Cagigas Muñiz, Daniel, Díaz del Río, Fernando, Guisado Lízar, José Luís, Jiménez-Morales, Francisco de Paula, López-Torres, Manuel Ramón   +4 more
core   +1 more source

Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis [PDF]

IEEE Conference on High Performance Extreme Computing, 2022
Graphics Processing Units (GPUs) are now considered the leading hardware to accelerate general-purpose workloads such as AI, data analytics, and HPC.
H. Abdelkhalik, Yehia Arafa, N. Santhi, Abdel-Hameed A. Badawy   +3 more
semanticscholar   +1 more source

Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework

Frontiers in Psychiatry, 2021
Brain age is an imaging-based biomarker with excellent feasibility for characterizing individual brain health and may serve as a single quantitative index for clinical and domain-specific usage.
Chen-Yuan Kuo, Tsung-Ming Tai, Pei-Lin Lee, Chiu-Wang Tseng, Chieh-Yu Chen, Liang-Kung Chen, Liang-Kung Chen, Cheng-Kuang Lee, Kun-Hsien Chou, Kun-Hsien Chou, Simon See, Ching-Po Lin, Ching-Po Lin, Ching-Po Lin   +13 more
doaj   +1 more source

The future of digital health with federated learning

npj Digital Medicine, 2020
Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems.
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso   +16 more
doaj   +1 more source

MILC Code Performance on High End CPU and GPU Supercomputer Clusters [PDF]

, 2017
With recent developments in parallel supercomputing architecture, many core, multi-core, and GPU processors are now commonplace, resulting in more levels of parallelism, memory hierarchy, and programming complexity.
DeTar, Carleton, Gottlieb, Steven, Li, Ruizi, Toussaint, Doug   +3 more
core   +2 more sources

Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle [PDF]

IEEE Robotics and Automation Letters, 2021
This letter presents benchmark tests of various visual(-inertial) odometry algorithms on NVIDIA Jetson platforms. The compared algorithms include mono and stereo, covering Visual Odometry (VO) and Visual-Inertial Odometry (VIO): VINS-Mono, VINS-Fusion ...
Jinwoo Jeon, Sungwook Jung, E. Lee, Duckyu Choi, H. Myung   +4 more
semanticscholar   +1 more source

Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis

Italian National Conference on Sensors, 2023
This paper presents a benchmark analysis of NVIDIA Jetson platforms when operating deep learning-based 3D object detection frameworks. Three-dimensional (3D) object detection could be highly beneficial for the autonomous navigation of robotic platforms ...
Chungjae Choe, Minjae Choe, Sungwook Jung   +2 more
semanticscholar   +1 more source

Performance and Power Analysis of HPC Workloads on Heterogenous Multi-Node Clusters [PDF]

, 2018
Performance analysis tools allow application developers to identify and characterize the inefficiencies that cause performance degradation in their codes, allowing for application optimizations.
Calore, Enrico, Mantovani, Filippo
core   +3 more sources