Results 21 to 30 of about 39,047 (336)
RECENT CAPABILITY AND PERFORMANCE ENHANCEMENTS OF THE WHOLE-CORE TRANSPORT CODE nTRACER [PDF]
EPJ Web of Conferences, 2021 The whole-core transport code nTRACER has made many advances in recent years. Several innovative cross section treatment methods were developed, a new axial transport solver was introduced for stabilizing the 2D/1D scheme, and substantial computational ...
Choi Namjae +5 more
doaj +1 more source
From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus
International Conference on Parallel Processing, 2022 High-throughput RTL simulation is critical for verifying today’s highly complex SoCs. Recent research has explored accelerating RTL simulation by leveraging event-driven approaches or partitioning heuristics to speed up simulation on a single stimulus ...
Dian-Lun Lin +4 more
semanticscholar +1 more source
VSCuda: LLM based CUDA extension for Visual Studio Code
SC Workshops, 2023 The CUDA programming language has developed to constantly accommodate new functionalities since its introduction. For beginners in particular, it is already difficult to remember the expected function parameters of commonly used CUDA features, let alone ...
Brian Chen +4 more
semanticscholar +1 more source
Vox Patrum, 2021 Poprzedzone wstepem i opatrzone komentarzami tłumaczenie dzieła "De Gregorio Thaumaturgo" Rufina z Akwilei, czyli wyjątku z VII księgi jego łacińskiego przekładu „Historii kościelnej” Euzebiusza z Cezarei.
Łukasz Libowski
doaj +1 more source
Performance comparison of CPU and GPGPU calculations using three simple case studies [PDF]
Computer Science Journal of Moldova, 2023 In this work, we have prepared and analyzed three case studies comparing CPU and GPGPU calculations. After briefly introducing the topic of parallel programming by means of contemporary CPU and GPGPU technologies, we provide an overview of selected ...
Branislav Lipovsky, Slavomir Simonak
doaj +1 more source
Parallel Implementation of Sparse Distributed Memory for Semantic Storage
Кібернетика та комп'ютерні технології, 2022 Introduction. Sparse Distributed Memory (SDM) and Binary Sparse Distributed Representations (Binary Sparse Distributed Representations, BSDR), as two phenomenological approaches to biological memory modelling, have many similarities.
Ruslan Vdovychenko, Vadim Tulchinsky
doaj +1 more source
NOVASINERGIA, 2023 Currently, several real-world optimization problems have been mathematically modeled. The modeling process considers as much information as possible to provide valid results, and the obtained model is commonly computationally solved. However,
Manuel Guiracocha +2 more
doaj +1 more source
A Comparative Study of the Implementation of SJF and SRT Algorithms on the GPU Processor Using CUDA [PDF]
EAI Endorsed Transactions on Internet of Things, 2021 GPU (Graphical Processing Units) have become in a few years very powerful tools for parallel computing. They are currently used in several fields such as image processing, bioinformatics, medical applications and numerical computation...etc.
Youness Rtal, Abdelkader Hadjoudja
doaj +1 more source
Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes
Journal of Open Research Software, 2023 Fan-Slicer (https://github.com/UCL/fan-slicer) is a Python package that enables the fast sampling (slicing) of 2D ultrasound-shaped images from a 3D volume. To increase sampling speed, CUDA kernel functions are used in conjunction with the Pycuda package.
João Ramalhinho +3 more
doaj +1 more source
ACM Transactions on Embedded Computing Systems, 2016 Graphics processing units (GPUs) are increasingly common on desktops, servers, and embedded platforms. In this article, we report on new security issues related to CUDA, which is the most widespread platform for GPU computing. In particular, details and proofs-of-concept are provided about novel vulnerabilities to which CUDA architectures are subject ...
Roberto Di Pietro +2 more
openaire +2 more sources