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The widespread availability of superhuman AI engines is changing how we play the ancient game of Go. The open-source software packages developed after the AlphaGo series shifted focus from producing strong playing entities to providing…

Artificial Intelligence · Computer Science 2020-11-16 Attila Egri-Nagy , Antti Törmänen

Neural operators have emerged as powerful tools for learning nonlinear mappings between function spaces, enabling real-time prediction of complex dynamics in diverse scientific and engineering applications. With their growing adoption in…

Computational Engineering, Finance, and Science · Computer Science 2025-10-14 Weiheng Zhong , Qibang Liu , Diab Abueidda , Seid Koric , Hadi Meidani

In this work, we survey the role of GPUs in real-time systems. Originally designed for parallel graphics workloads, GPUs are now widely used in time-critical applications such as machine learning, autonomous vehicles, and robotics due to…

There is renewed interest in simulating language emergence among deep neural agents that communicate to jointly solve a task, spurred by the practical aim to develop language-enabled interactive AIs, as well as by theoretical questions…

Computation and Language · Computer Science 2019-10-15 Eugene Kharitonov , Rahma Chaabouni , Diane Bouchacourt , Marco Baroni

Graph processing on GPUs is gaining momentum due to the high throughputs observed compared to traditional CPUs, attributed to the vast number of processing cores on GPUs that can exploit parallelism in graph analytics. This paper discusses…

Data Structures and Algorithms · Computer Science 2023-07-27 Rohith Krishnan S , Venkata Kalyan Tavva , Rupesh Nasre

Graphs are widespread data structures used to model a wide variety of problems. The sheer amount of data to be processed has prompted the creation of a myriad of systems that help us cope with massive scale graphs. The pressure to deliver…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-10-09 Luis M. Vaquero , Felix Cuadrado , Matei Ripeanu

Path planning is an essential component of mobile robotics. Classical path planning algorithms, such as wavefront and rapidly-exploring random tree (RRT) are used heavily in autonomous robots. With the recent advances in machine learning,…

Game engines are increasingly used as simulation platforms by the autonomous vehicle (AV) community to develop vehicle control systems and test environments. A key requirement for simulation-based development and verification is…

Robotics · Computer Science 2022-12-09 Greg Chance , Abanoub Ghobrial , Kevin McAreavey , Severin Lemaignan , Tony Pipe , Kerstin Eder

Today most developers utilize source code written by other parties. Because the code is modified frequently, the developers need to grasp the impact of the modification repeatedly. A call graph and especially its special type, a call path,…

Data Structures and Algorithms · Computer Science 2016-02-15 Koji Yamamoto , Taka Matsutsuka

From the beginning the Geant4 Visualisation System was designed to support several simultaneous graphics systems written to common abstract interfaces. Today it has matured into a powerful diagnostic and presentational tool. It comes with a…

Graphics · Computer Science 2013-01-01 John Allison , Laurent Garnier , Akinori Kimura , Joseph Perl

Graph is a well known data structure to represent the associated relationships in a variety of applications, e.g., data science and machine learning. Despite a wealth of existing efforts on developing graph processing systems for improving…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-28 Chuangyi Gui , Long Zheng , Bingsheng He , Cheng Liu , Xinyu Chen , Xiaofei Liao , Hai Jin

GPUs are the most popular platform for accelerating HPC workloads, such as artificial intelligence and science simulations. However, most microarchitectural research in academia relies on GPU core pipeline designs based on architectures…

Hardware Architecture · Computer Science 2025-10-30 Rodrigo Huerta , Mojtaba Abaie Shoushtary , José-Lorenzo Cruz , Antonio González

Occupancy grid maps (OGMs) are fundamental to most systems for autonomous robotic navigation. However, CPU-based implementations struggle to keep up with data rates from modern 3D lidar sensors, and provide little capacity for modern…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Kazys Stepanas , Jason Williams , Emili Hernández , Fabio Ruetz , Thomas Hines

Robotics simulation provides many advantages during the development of an intelligent ground vehicle (IGV) such as testing the software components in varying scenarios without requiring a complete physical robot. This paper discusses a 3D…

Robotics · Computer Science 2022-08-10 Gordon Stein , Chan-Jin Chung

Many kinds of Evolutionary Algorithms (EAs) have been described in the literature since the last 30 years. However, though most of them share a common structure, no existing software package allows the user to actually shift from one model…

Neural and Evolutionary Computing · Computer Science 2011-11-10 Pierre Collet , Marc Schoenauer

DevBots are automated tools that perform various tasks in order to support software development. They are a growing trend and have been used in repositories to automate repetitive tasks, as code generators, and as collaborators in eliciting…

Software Engineering · Computer Science 2023-12-12 Vinicius Soares Silva Marques

Fieldwork still is the first and foremost source of insight in many disciplines of the geosciences. Virtual fieldwork is an approach meant to enable scientists trained in fieldwork to apply these skills to a virtual representation of…

Human-Computer Interaction · Computer Science 2025-01-16 Armin Bernstetter , Tom Kwasnitschka , Jens Karstens , Markus Schlüter , Isabella Peters

As mobile devices become more and more popular, mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. A critical challenge for…

Machine Learning · Computer Science 2019-01-21 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

This work presents transparent checkpointing of OpenGL applications, refining the split-process technique[1] for application in GPU-based 3D graphics. The split-process technique was earlier applied to checkpointing MPI and CUDA programs,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-03 David Hou , Jun Gan , Yue Li , Younes El Idrissi Yazami , Twinkle Jain

Large scale-free graphs are famously difficult to process efficiently: the skewed vertex degree distribution makes it difficult to obtain balanced partitioning. Our research instead aims to turn this into an advantage by partitioning the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-10-05 Scott Sallinen , Abdullah Gharaibeh , Matei Ripeanu
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