Results 131 to 140 of about 82,239 (329)
Two-Phase PFAC Algorithm for Multiple Patterns Matching on CUDA GPUs [PDF]
, 2019 Wei-Shen Lai +3 more
openalex +1 more source
Addiction, EarlyView.Abstract Background and Aims Cannabis use disorder (CUD) is a pressing public health concern in the United States, and understanding trends in prevalence requires considerations of how changes in measurement influence identification of CUD. Starting in 2021, the National Survey on Drug Use and Health (NSDUH) assessed CUD using all 11 Diagnostic and ...
Evan L. Eschliman +3 more
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
Addiction, EarlyView.Abstract Background and Aims Cannabis is among the most widely used psychoactive substances globally and is often consumed alongside tobacco. Cannabis use has been associated with impairments in attention, learning, and memory, whereas nicotine can acutely enhance, but chronically impair, certain cognitive functions.
Emese Kroon +5 more
wiley +1 more source
Splatshop: Efficiently Editing Large Gaussian Splat Models
Computer Graphics Forum, EarlyView.Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
CUDA and Applications to Task-based Programming
, 2021 Michael Kenzel +3 more
openalex +1 more source
Image‐Based Spatio‐Temporal Interpolation for Split Rendering
Computer Graphics Forum, EarlyView.Abstract Low‐powered devices – such as small form factor head‐mounted displays (HMDs) – struggle to deliver a smooth and high‐quality viewing experience, due to their limited power and rendering capabilities. Cloud rendering attempts to solve the quality issue, but leads to prohibitive latency and bandwidth requirements, hindering use with HMDs over ...
M. Steiner +4 more
wiley +1 more source
Data management in CUDA Programming for High Bandwidth Memory in GPU Accelerators [PDF]
, 2016 Grzegorz Korpała
openalex +1 more source
Implementation of CUDA kernels with cppPosit and BFLOAT16
, 2023 Ahmed Salah Tawfik Ibrahim +1 more
openalex +2 more sources
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Computer Graphics Forum, EarlyView.Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source