Results 211 to 220 of about 5,818,471 (412)

Design and validation of a novel dosimetry phantom for motion management audits

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton, Sabeena Beveridge, Nicholas Hardcastle, Silvio Malfitana, Janaka Madamperuma, Rick Franich   +5 more
wiley   +1 more source

Parallel computing works! [PDF]

, 1996
Marcin Paprzycki
openalex   +1 more source

LDkit: a parallel computing toolkit for linkage disequilibrium analysis. [PDF]

BMC Bioinformatics, 2020
Tang Y, Li Z, Wang C, Liu Y, Yu H, Wang A, Zhou Y.   +6 more
europepmc   +1 more source

Hierarchical Meta-Storms enables comprehensive and rapid comparison of microbiome functional profiles on a large scale using hierarchical dissimilarity metrics and parallel computing. [PDF]

Bioinform Adv, 2021
Zhang Y, Jing G, Chen Y, Li J, Su X.
europepmc   +1 more source

A Python package for fast GPU‐based proton pencil beam dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya, Calin Reamy, Heng Li, Junghoon Lee, William T. Hrinivich   +4 more
wiley   +1 more source

Accelerating Large Language Model Training with 4D Parallelism and Memory Consumption Estimator [PDF]

arXiv
In large language model (LLM) training, several parallelization strategies, including Tensor Parallelism (TP), Pipeline Parallelism (PP), Data Parallelism (DP), as well as Sequence Parallelism (SP) and Context Parallelism (CP), are employed to distribute model parameters, activations, and optimizer states across devices.
arxiv  

Evaluation of internal target volume of abdominal tumors using cine‐MRI

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction The detailed anatomy visualization with magnetic resonance (MR)‐guided radiotherapy is particularly attractive for abdominal treatments, but patient respiratory motion can compromise image quality. The “navigator technique” produces high‐quality 3D images, triggered by diaphragm displacement, in exhale phase only.
Jessica Lye, Reza Alinaghi‐Zadeh, Sandie Fisher, Nikki Shelton, Glenn Cahoon, Leah McDermott, Richard Khor, Kym Rykers, Sweet Ping Ng   +8 more
wiley   +1 more source

xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism [PDF]

arXiv
Diffusion models are pivotal for generating high-quality images and videos. Inspired by the success of OpenAI's Sora, the backbone of diffusion models is evolving from U-Net to Transformer, known as Diffusion Transformers (DiTs). However, generating high-quality content necessitates longer sequence lengths, exponentially increasing the computation ...
arxiv  

Efficient Message Passing Interface (MPI) for Parallel Computing on Clusters of Workstations [PDF]

, 1997
Jehoshua Bruck, Danny Dolev, Ching‐Tien Ho, Marcel‐Cătălin Roşu, Ray Strong   +4 more
openalex   +1 more source

Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing. [PDF]

Sensors (Basel), 2020
Moreno Escobar JJ, Morales Matamoros O, Tejeida Padilla R, Chanona Hernández L, Posadas Durán JPF, Pérez Martínez AK, Lina Reyes I, Quintana Espinosa H.   +7 more
europepmc   +1 more source