Results 51 to 60 of about 4,664 (251)
Various fields in medicine require scientific research and computer application. This results in computation time optimization becoming a task that is of increasing importance due to its highly parallel architecture.
Huichao Hong, Lixin Zheng, Shuwan Pan
doaj +1 more source
Realization of Dual-channel Real-time Correlator Based on Heterogeneous Architecture [PDF]
In order to meet the needs of huge data processing due to the multi-beam receiver,focal plane array and antenna array,a widely used astronomical correlator is designed using FPGA+CPU+GPU heterogeneous architecture based on the kernel of GPU parallel ...
PEI Xin,NIE Jun,CHEN Maozheng,LI Jian
doaj +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Motion correction in magnetic resonance imaging (MRI) has become increasingly complex due to the high computational demands of iterative reconstruction algorithms and the heterogeneity of emerging computing platforms.
Mohamed Aziz Zeroual +6 more
doaj +1 more source
Soft Mechanical‐Electrical Logic Using Liquid Metal‐Filled 3D‐Printed Architectures
We present 3D‐printed soft mechanical–electrical logic elements that use liquid metal–filled silicone tubes actuated by thermoplastic polyurethane/polylactic acid (TPU/PLA) architectures to produce Boolean operations. Complementary normally open and normally closed unit cells perform repeatable binary transitions and can be combined into more complex ...
Christoph Lehmann +2 more
wiley +1 more source
Survey on GPGPU and CUDA Unified Memory Research Status [PDF]
In the context of big data, the rapid advancement of fields such as scientific computing and artificial intelligence, there is an increasing demand for high computational power across various domains.
PANG Wenhao, WANG Jialun, WENG Chuliang
doaj +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Optimized Deep Neural Networks for Real-Time Object Classification on Embedded GPUs
Convolution is the most computationally intensive task of the Convolutional Neural Network (CNN). It requires a lot of memory storage and computational power.
Syed Tahir Hussain Rizvi +2 more
doaj +1 more source
From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle +3 more
wiley +1 more source
Integer-Pel Motion Estimation for HEVC on Compute Unified Device Architecture (CUDA)
A new video compression standard called High Efficiency Video Coding (HEVC) has recently been released onto the market. HEVC provides higher coding performance compared to previous standards, but at the cost of a significant increase in encoding complexity, particularly in motion estimation (ME). At the same time, the computing capabilities of Graphics
Dongkyu Lee, Donggyu Sim, Seoung-Jun Oh
openaire +2 more sources

