Results 111 to 120 of about 34,039 (292)
Cuda-Gen： An API-knowledge-graph coverage-driven fuzzing framework for CUDA libraries
四川大学学报. 自然科学版In the AI-driven era， NVIDIA CUDA libraries have become indispensable for accelerating compute-intensive tasks， yet their security assessment remains critically understudied due to closed-source code and unique program.gming paradigms.Existing efforts ...
SONG Jiyang +5 more
doaj
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source
SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu +7 more
wiley +1 more source
Optimizing OpenFOAM GPU Solvers
Труды Института системного программирования РАН, 2018 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
Multi-Gpu Two-Dimensional Block-Cyclic Algorithm for Factorization of Dense Matrix
Кібернетика та комп'ютерні технологіїThis article presents an efficient parallel algorithm for LU factorization of large dense matrices based on a two-dimensional block-cyclic data distribution designed for multi-GPU computing environments.
Oleksandr Khimich +2 more
doaj +1 more source
Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang +5 more
wiley +1 more source
High Voltage, EarlyView.ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley +1 more source
Zbornik radova Međimurskog veleučilišta u Čakovcu, 2010 CUDA je grafički procesor, nasljednik klasičnih vektorskih procesora. Procesor je izrađen od strane kompanije NVIDIA koja njime uvodi novi pojam, CUDA arhitektura. Procesor se sastoji od nekoliko stotina CUDA procesorskih jezgri i dozvoljava da i klasične aplikacije imaju mogućnost izvršavanja u paralelnom okruženju na grafičkom procesoru.
Trstenjak, Bruno +2 more
openaire +4 more sources
SOLUTIONS FOR OPTIMIZING THE DATA PARALLEL PREFIX SUM ALGORITHM USING THE COMPUTE UNIFIED DEVICE ARCHITECTURE [PDF]
In this paper, we analyze solutions for optimizing the data parallel prefix sum function using the Compute Unified Device Architecture (CUDA) that provides a viable solution for accelerating a broad class of applications. The parallel prefix sum function
Alexandru Pîrjan +2 more
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