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检索条件"任意字段=Proceedings of the 20th Spring Conference on Computer Graphics"

共 274 条记录，以下是1-10 订阅

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Label-Free Subjective Player Experience Modelling via Let’s Play Videos 20

Label-Free Subjective Player Experience Modelling via Let’s...

引用

20th AAAI conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2024

作者： Goel, Dave Mahmoudi-Nejad, Athar Guzdial, Matthew Computing Science Department Alberta Machine Intelligence Institute University of Alberta Canada

ISBN: (纸本)1577358953

Player Experience Modelling (PEM) is the study of AI techniques applied to modelling a player’s experience within a video game. PEM development can be labour-intensive, requiring expert hand-authoring or specialized data collection. In this work, we propose a novel PEM development approach, approximating player experience from gameplay video. We evaluate this approach predicting affect in the game Angry Birds via a human subject study. We validate that our PEM can strongly correlate with self-reported and sensor measures of affect, demonstrating the potential of this approach. © 2024, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Interactive computer graphics

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the Reminiscence - the Monologues of Being Seen 23

The Reminiscence - The Monologues of Being Seen

引用

Special Interest Group on computer graphics and Interactive Techniques conference - Art Gallery, SIGGRAPH 2023

作者： Lee, Sangyoon Baldwin, Andrea N. Henderson, Heidi Computer Science Department Connecticut College United States Gender Studies University of Utah United States Dance Department Connecticut College United States

ISBN: (纸本)9798400701573

the Reminiscence - the Monologues of Being Seen is the third-generation interactive media installation based on the Posture Portraits Project (PPP). PPP is an interdisciplinary project which examines how bodies have historically been created/made through scientific interventions and surveillance while simultaneously engaging with the concept of inclusivity of all bodies including those traditionally seen as "Other."To do so, we trace the development of healthism - the reinforcement of certain norms that construct the "healthy"as moral and pure and the "unhealthy"as foreign and polluted - in the modern American university which dates back to the early 17th century, and its relationship to the U.S. eugenics movement in the late 19th to 20th century. We explore how these ideologies were mobilized in the service of creating new disciplining and surveillance technologies in higher education by examining the case of what is known as "the posture portraits."these portraits, taken at colleges and universities across the nation during the 1920s-1960s, were used as a measurement of ability and good posture, which at that time, was linked to intelligence, beauty, and what it meant to be "normal."Most evidence of this malpractice was purged from the archives as if it had never happened. © 2023 Owner/Author.

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Parallelize Accelerated Triangle Counting Using Bit-Wise on GPU 1

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proceedings of the 20th Web Information Systems and Applications conference, WISA 2023

作者： Lin, Li Ouyang, Dian He, Zhipeng Li, Chengqian School of Computer Science and Network Engineering Guangzhou University Guangzhou China

ISBN: (数字)9789819962228

ISBN: (纸本)9789819962211

Triangle counting is a graph algorithm that calculates the number of triangles in a graph, the number of triangles is a key metric for a large number of graph algorithms. Traditional triangle counting algorithms are divided into vertex-iterator and edge-iterator when traversing the graph. As the scale of graph data grows, the use of CPU with other architectural platforms for triangle counting has become mainstream. Our accelerating method proposes an algorithm for triangle counting on a single machine GPU, and performs a two-dimensional partition algorithm for large-scale graph data, in order to ensure that large graph data can be correctly loaded into GPU memory and the independence of each partition to obtain the right result. According to the high concurrency of GPU, a bit-wise operation intersection algorithm is proposed. We experiment with our algorithm to verify that our method effectively speeds up triangle counting algorithm on a single-machine GPU. © 2023, the Author(s), under exclusive license to springer Nature Singapore Pte Ltd.

关键词： graphics processing unit

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GPU Parallelization and Optimization of a Combustion Simulation Application 24

GPU Parallelization and Optimization of a Combustion Simulat...

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24th IEEE International conference on High Performance Computing and Communications, 8th IEEE International conference on Data Science and Systems, 20th IEEE International conference on Smart City and 8th IEEE International conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Liao, Zhixiang Liu, Yongzhou Che, Yonggang Institute for Quantum Information College of Computer National University of Defense Technology State Key Laboratory of High Performance Computing Changsha China

ISBN: (纸本)9798350319934

graphics processing units (GPUs) are widely used in the area of scientific computing. While GPUs provide much higher peak performance, efficient implementation of real applications on the GPU architectures is still a non-trivial task. It is crucial to realize efficient solution algorithms that can better utilize GPU architectures. this paper presents our efforts in parallelizing and optimizing LESAP, a CFD application for scramjet combustion simulation, on NVIDIA GPUs. the GPU parallelization is realized based on the CUDA programming model, with a data-parallel implicit time-marching method that is efficient on the GPU architecture. Furthermore, shared memory and redundant calculation are proposed to reduce memory access overhead during GPU computation, and data transfer between CPU and GPU is optimized by packing the data to be transferred. the experimental results show that the GPU version, when runs on four V100 GPUs, achieves a speedup of 11.26 times compared to the CPU version that runs on two 24-core Intel Skylake Gold 6240R CPUs. Excellent parallel scalability across multiple GPUs is also observed. © 2022 IEEE.

关键词： graphics processing unit

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Batched LU Factorization With Fast Row Interchanges for Small Matrices on GPUs 24

Batched LU Factorization With Fast Row Interchanges for Smal...

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作者： Huang, Rongfeng Zhao, Yonghua Yu, Tianyu Liu, Shifang Zhang, Xinyin Computer Network Information Center Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Computer Network Information Center Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350319934

this paper presents high-performance batched lower-upper (LU) factorization routines for small matrices on graphics processing units (GPUs). LU factorization is an effective method for solving linear equations. Pivoting, at least partial pivoting, is essential for LU factorization to ensure numerical stability. However, the row interchanges resulting from the pivoting are very troublesome due to non-coalesced memory access on GPUs. We analyze the global memory access of different variants of LU factorization algorithms and design our batched LU factorization routines based on the blocked left-looking algorithm with the minimum global memory access. To release the penalty of non-coalesced memory access, we propose a swapping rows group by group approach and a delaying row interchanges method. What's more, techniques for kernel fusion and data prefetching are used to improve overall performance. the numerical results on an NVIDIA Tesla V100 GPU show that our batched LU routine outperforms the highly optimized vendor library cuBLAS up to 6.5× and achieves up to 2.2× over the well-known open-source package MAGMA. © 2022 IEEE.

关键词： graphics processing unit

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MISA-MD: A New Design of Molecular Dynamics Software for GPU Architecture 24

MISA-MD: A New Design of Molecular Dynamics Software for GPU...

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作者： Chu, Genshen Chen, Tianyi Chen, Dandan Bai, He Li, Guannan Ren, Shuai Li, Yang School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Beijing Research Center Zhejiang Lab Beijing China

ISBN: (纸本)9798350319934

Molecular dynamics is a significant method in computational material and many other fields, and is computationally intensive. In this paper, we present a new molecular dynamics software, MISA-MD, which is mainly designed for high computational performance on GPU architecture. the main contributions include a redesign of the atom data structure, communication optimizations, parallel strategies and a series of GPU optimizations on memory accessing. Compared to the CPU version, the presented version of MISA-MD can achieve more than 130 speedup when running on GPU hardware. Moreover, our MISAMD code also demonstrates 51 % performance improvement, when compared to the well-known software LAMMPS on GPU. © 2022 IEEE.

关键词： graphics processing unit

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RTA: an Efficient SIMD Architecture for Ray Tracing 24

RTA: an Efficient SIMD Architecture for Ray Tracing

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作者： Yan, Run Huang, Libo Guo, Hui Lu, Yashuai Yang, Ling Xiao, Nong Shen, Li Wang, Yongwen School of Computer National University of Defense Technology Changsha China Huawei 2012 Labs Beijing China

ISBN: (纸本)9798350319934

In recent years, real-time ray tracing has attracted considerable attention with the increasing demand for photo-realistic graphics and rapid advances in CPUs/GPUs. However, efficient hardware architecture is challenging due to branches and high computation intensity for ray tracing. In this paper, we present a novel ray tracing hardware architecture called RTA (Ray Tracing Accelerator) to improve hardware efficiency. RTA has two key features: 1) an area-efficient T&I pipeline adopts three optimization strategies;2) the configuration of two Ray Traversal units has the highest ray tracing efficiency. Combined with these, we implement our system at RTL level with agile chip development. Experimental results demonstrate that RTA's performance achieves 2.83× higher than other academic and commercial architectures in a similar area. © 2022 IEEE.

关键词： Ray tracing

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Problem of Improving the Environmental and Socio-Economic System of the Volga-Akhtuba Floodplain: Position Examination of Large Dam in the Volga River Based on Computational Fluid Dynamics 5

Problem of Improving the Environmental and Socio-Economic Sy...

引用

5th International conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Klikunova, Anna Yu. Agafonnikova, Ekaterina O. Khoperskov, Alexander V. Volgograd State University Dept. Information Systems and Computer Modeling Volgograd Russia

ISBN: (纸本)9798350309126

the system of hydroelectric power stations on the Volga River, built in the 20th century, completely changed the hydrological regime of the Volga River. the current over-regulation of the water flow is the cause of the accelerating degradation of the Volga-Akhtuba floodplain. Modern analysis of water availability indicates a critical point associated with the spring filling of the Akhtuba binnacle. Various projects suggest a solution to this problem. this study is aims at identifying the most optimal location of a large dam below the Volzhsky hydroelectric power stations. We use a new model of hydraulic resistance based on the combined effect of both the friction force in the Manning model and the turbulent viscosity. Our study involves varying of the dam's location in a numerical shallow water model. We calculate the hydrological relationship between the release of water through the Volzhsky dam and the source of the Akhtuba, as a target function for analyzing the effectiveness of the project to construction such a dam. © 2023 IEEE.

关键词： Dams

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Towards Optimized Streaming Tensor Completion on multiple GPUs 24

Towards Optimized Streaming Tensor Completion on multiple GP...

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作者： Hao, Jiwei Yang, Hailong Sun, Qingxiao Zhang, Huaitao Luan, Zhongzhi Qian, Depei School of Computer Science and Engineering Beihang University Beijing100191 China School of Computer Science and Technology Xi'an Jiaotong University Shaanxi710049 China

ISBN: (纸本)9798350319934

Tensor completion is a prevailing method for predicting the unobserved or missing data in incomplete tensors. In many real-world scenarios, incomplete tensors can grow in multiple modes with streaming fashion. Such tensors are generally transformed into a dynamically changing tensor sequence known as Multi-Aspect Streaming Tensor (MAST) sequence. However, existing optimization techniques for a single static tensor completion cannot scale well to large streaming tensor sequences with dynamically growing properties. In this paper, we develop an efficient streaming tensor completion library cuSTC on multiple graphics processing units (GPUs). cuSTC adopts a novel TB-COO storage format with tiling and bit mapping data structure. In addition, cuSTC implements a two-level tensor partition scheme to accelerate the prevalent dynamic alternating least squares (ALS) algorithm for MAST sequence. Finally, cuSTC designs a warp-level reduction scheme to reduce atomic operations in tensor decomposition. We compare cuSTC with SPLATT tensor completion library and achieve 48.69×, 24.22×, 4.54 ×, 3.58×, 12.26 × performance speedup on five real-world datasets. © 2022 IEEE.

关键词： Tensors

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Voxelization of Moving Geometries on GPU 24

Voxelization of Moving Geometries on GPU

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作者： Shukla, Rishabh Arora, Nipun Banerjee, Dip Sankar Indian Institute of Technology Department of Mechanical Engineering Jodhpur India Indian Institute of Technology Department of Computer Science and Engineering. Jodhpur India

ISBN: (纸本)9798350319934

Voxelization is a standard representation technique for arbitrary geometries on Cartesian space. It is typically used as a pre-processor for any solver in computational fluid dynamics (CFD) problems. Voxelization typically is a computationally intensive and can consume significant amount of time on complex geometries on grids of high resolutions. In this paper, we propose a novel GPU acceleration method for both surface and solid voxelization aimed at CFD solvers dependent on the popular Lattice Boltzmann Method (LBM). Towards that, we design new mechanisms for data parallelism that can allow efficient SIMT execution on modern GPUs. In contrast to prior works, which typically extract parallelism in the space of the surface geometry, our method works at a finer grain where we extract parallelism in the space of the Cartesian fluid mesh. this leads to higher degree of parallelism which provides significant performance benefits. Our method is able to compute surface voxelization for a benchmark geometry (Stanford Bunny) in 16.8 ms at a grid size of 10243• Our method for solid voxelization on the same geometry takes 1546.3 ms. Our implementation is able to extract around 7.14 TFLOPS single precision (around 50% of peak) performance on a NVIDIA V100 GPU. © 2022 IEEE.

关键词： graphics processing unit

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