Výsledky vyhľadávania - CCS CONCEPTS • Computing methodologies → Distributed computing methodologies

Real‐Time Rendering of Glinty Appearances using Distributed Binomial Laws on Anisotropic Grids Autor Deliot, T., Belcour, L.

“…In this work, we render in real‐time glittery materials caused by discrete flakes on the surface. To achieve this, one has to count the number of flakes…”
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TensoIS: A Step Towards Feed‐Forward Tensorial Inverse Subsurface Scattering for Perlin Distributed Heterogeneous Media Autor Tiwari, Ashish, Bhardwaj, Satyam, Bachwana, Yash, Sahu, Parag Sarvoday, Ali, T.M.Feroz, Chintalapati, Bhargava, Raman, Shanmuganathan

“…Estimating scattering parameters of heterogeneous media from images is a severely under‐constrained and challenging problem. Most of the existing approaches…”
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State‐of‐the‐art in Large‐Scale Volume Visualization Beyond Structured Data Autor Sarton, J., Zellmann, S., Demirci, S., Güdükbay, U., Alexandre‐Barff, W., Lucas, L., Dischler, J. M., Wesner, S., Wald, I.

“…Volume data these days is usually massive in terms of its topology, multiple fields, or temporal component. With the gap between compute and memory performance…”
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Scalable Ray Tracing Using the Distributed FrameBuffer Autor Usher, Will, Wald, Ingo, Amstutz, Jefferson, Günther, Johannes, Brownlee, Carson, Pascucci, Valerio

“…Image‐ and data‐parallel rendering across multiple nodes on high‐performance computing systems is widely used in visualization to provide higher frame rates, support large data sets, and render data in situ…”
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Adaptive Multi‐view Radiance Caching for Heterogeneous Participating Media Autor Stadlbauer, P., Tatzgern, W., Mueller, J.H., Winter, M., Stojanovic, R., Weinrauch, A., Steinberger, M.

“…Achieving lifelike atmospheric effects, such as fog, is essential in creating immersive environments and poses a formidable challenge in real‐time rendering…”
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Restricted Power Diagrams on the GPU Autor Basselin, J., Alonso, L., Ray, N., Sokolov, D., Lefebvre, S., Lévy, B.

“… We propose an efficient solution that directly evaluates the integrals over every cell without computing the power diagram explicitly and without intersecting it with a tetrahedralization of the domain…”
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Distributing and Load Balancing Sparse Fluid Simulations Autor Shah, C., Hyde, D., Qu, H., Levis, P.

“… A key challenge with load balancing is that optimal decision making requires knowing the fluid distribution across partitions for future time steps, but computing this state for an arbitrary…”
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Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing Autor Choi, Jinhang, Hakimi, Zeinab, Shin, Philip W, Sampson, Jack, Narayanan, Vijaykrishnan

“…As the computing power of end-point devices grows, there has been interest in developing distributed deep neural networks specifically for hierarchical inference deployments on multi-sensor systems…”
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Controlling Quadric Error Simplification with Line Quadrics Autor Liu, Hsueh‐Ti Derek, Rahimzadeh, Mehdi, Zordan, Victor

“…This work presents a method to control the output of mesh simplification algorithms based on iterative edge collapses. Traditional mesh simplification focuses…”
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A unified multi‐scale method for simulating immersed bubbles Autor Wretborn, Joel, Stomakhin, Alexey, Batty, Christopher

“… When bubble particles are sparsely distributed, each particle, typically smaller than the liquid grid voxel size, corresponds to an individual spherical bubble. As the sub…”
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OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation Autor Kim, Kunho, Angelina Uy, Mikaela, Paschalidou, Despoina, Jacobson, Alec, Guibas, Leonidas J., Sung, Minhyuk

“…‐based 3D deformation methods are widely utilized for interactive shape editing, and their usability is enhanced when the control points are sparse yet strategically distributed across the shape…”
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Progressive Discrete Domains for Implicit Surface Reconstruction Autor Zhao, Tong, Alliez, Pierre, Boubekeur, Tamy, Busé, Laurent, Jean‐Marc Thiery, ∗

“… This is amplified when considering i) strong regularization terms, ii) sparsely distributed samples or iii) missing data…”
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BenchCloud: A Platform for Scalable Performance Benchmarking Autor Beyer, Dirk, Chien, Po-Chun, Jankola, Marek

“… This paper describes BenchCloud, a solution for elastic and scalable job distribution across hundreds of nodes, enabling large-scale experiments on distributed and heterogeneous computing environments…”
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Deep Adaptive Sampling for Low Sample Count Rendering Autor Kuznetsov, Alexandr, Kalantari, Nima Khademi, Ramamoorthi, Ravi

“…Recently, deep learning approaches have proven successful at removing noise from Monte Carlo (MC) rendered images at extremely low sampling rates, e.g., 1–4…”
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Approximate Program Smoothing Using Mean‐Variance Statistics, with Application to Procedural Shader Bandlimiting Autor Yang, Y., Barnes, C.

“… Our adaptive Gaussian approximation handles multivariate Gaussian distributed inputs, gives exact results for a larger…”
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A Physically‐based Appearance Model for Special Effect Pigments Autor Guo, Jie, Chen, Yanjun, Guo, Yanwen, Pan, Jingui

“…An appearance model for materials adhered with massive collections of special effect pigments has to take both high‐frequency spatial details (e.g., glints)…”
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Surface Fairing towards Regular Principal Curvature Line Networks Autor Chu, Lei, Bo, Pengbo, Liu, Yang, Wang, Wenping

“…Freeform surfaces whose principal curvature line network is regularly distributed, are essential to many real applications like CAD modeling, architecture design, and industrial fabrication…”
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A Prediction‐Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error Autor Ren, Congrong, Liang, Xin, Guo, Hanqi

“… While existing lossy compressors offer a high compression ratio with bounded error for regular grid data, methodologies tailored for unstructured mesh data are lacking…”
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Towards a Scalable Architecture for Building Digital Twins at the Edge Autor Alanezi, Khaled, Mishra, Shivakant

“…, an application-agnostic methodology, a service registry component for integrating digital twin with EdgeAI (DT-EdgeAI integration…”
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Reward Augmentation in Reinforcement Learning for Testing Distributed Systems Autor Borgarelli, Andrea, Enea, Constantin, Majumdar, Rupak, Nagendra, Srinidhi

“…Bugs in popular distributed protocol implementations have been the source of many downtimes in popular internet services…”
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