Results 141 to 150 of about 39,047 (336)
Data management in CUDA Programming for High Bandwidth Memory in GPU Accelerators [PDF]
Grzegorz Korpała
openalex +1 more source
625 A study of speed-up technique for matrix-vector products using CUDA
Kazuaki Ochiai, Yasusi Nakabayashi
openalex +2 more sources
ABSTRACT Purpose To propose a signal acquisition and modeling framework for multi‐component tissue quantification that encompasses transmit field inhomogeneity, multi‐component relaxation and magnetization transfer (MT) effects. Theory and Methods By applying off‐resonance irradiation between excitation and acquisition within an RF‐spoiled gradient ...
Albert Jang +4 more
wiley +1 more source
Massively Parallel Particle Simulations on Graphics Processing Units with CUDA [PDF]
Katrin Fischer, Georg‐Peter Ostermeyer
openalex +1 more source
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng +3 more
wiley +1 more source
Optimizing OpenFOAM GPU Solvers
The paper presents preliminary research on improving performance of CFD simulations in OpenFOAM via offloading parts of computations (specifically, solution of linear systems) to a graphics accelerator (GPU). We present a short review of OpenFOAM package
Alexander Monakov
doaj
CUDA and Applications to Task-based Programming
Michael Kenzel +3 more
openalex +1 more source
Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning
ABSTRACT Accelerated life tests (ALTs) are essential tools for estimating product reliability under high‐stress conditions, allowing failure data to be collected in reduced timeframes. However, planning effective ALT configurations is a complex task that requires selecting stress levels, test durations, and unit allocations while accounting for limited
Allan Jonathan da Silva +3 more
wiley +1 more source
Implementation of CUDA kernels with cppPosit and BFLOAT16
Ahmed Salah Tawfik Ibrahim +1 more
openalex +2 more sources
ABSTRACT This work introduces a novel Tolerance‐Based Clustering Framework (MMLTC) framework for affective analytics of multimodal/multilingual content in social media. A key feature of the MMLTC framework is its ability to overcome limitations of prior tolerance‐based classifiers through the construction of label specific pure tolerance classes ...
Jaher Hassan Chowdhury, Sheela Ramanna
wiley +1 more source

