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We introduce FastGraph, a novel GPU-optimized k-nearest neighbor algorithm specifically designed to accelerate graph construction in low-dimensional spaces (2-10 dimensions), critical for high-performance graph neural networks. Our method…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-14 Aarush Agarwal , Raymond He , Jan Kieseler , Matteo Cremonesi , Shah Rukh Qasim

Pretrained language models are promising particularly for low-resource languages as they only require unlabelled data. However, training existing models requires huge amounts of compute, while pretrained cross-lingual models often…

Computation and Language · Computer Science 2020-06-05 Julian Martin Eisenschlos , Sebastian Ruder , Piotr Czapla , Marcin Kardas , Sylvain Gugger , Jeremy Howard

Range aggregate queries find frequent application in data analytics. In some use cases, approximate results are preferred over accurate results if they can be computed rapidly and satisfy approximation guarantees. Inspired by a recent…

Databases · Computer Science 2021-02-11 Zhe Li , Tsz Nam Chan , Man Lung Yiu , Christian S. Jensen

We introduce a fusion of GPU accelerated primal heuristics for Mixed Integer Programming. Leveraging GPU acceleration enables exploration of larger search regions and faster iterations. A GPU-accelerated PDLP serves as an approximate LP…

Optimization and Control · Mathematics 2025-10-31 Akif Çördük , Piotr Sielski , Alice Boucher , Kumar Aatish

Learning continuous representations of nodes is attracting growing interest in both academia and industry recently, due to their simplicity and effectiveness in a variety of applications. Most of existing node embedding algorithms and…

Machine Learning · Computer Science 2019-03-05 Zhaocheng Zhu , Shizhen Xu , Meng Qu , Jian Tang

Cloud Computing has established itself as an efficient and cost-effective paradigm for the execution of web-based applications, and scientific workloads, that need elasticity and on-demand scalability capabilities. However, the evaluation…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-22 Remo Andreoli , Jie Zhao , Tommaso Cucinotta , Rajkumar Buyya

We introduce ProFound, a source finding and image analysis package. ProFound provides methods to detect sources in noisy images, generate segmentation maps identifying the pixels belonging to each source, and measure statistics like flux,…

Instrumentation and Methods for Astrophysics · Physics 2018-03-14 A. S. G. Robotham , L. J. M. Davies , S. P. Driver , S. Koushan , D. S. Taranu , S. Casura , J. Liske

The study of biological systems witnessed a pervasive cross-fertilization between experimental investigation and computational methods. This gave rise to the development of new methodologies, able to tackle the complexity of biological…

Computational Engineering, Finance, and Science · Computer Science 2013-10-01 Daniela Besozzi , Giulio Caravagna , Paolo Cazzaniga , Marco Nobile , Dario Pescini , Alessandro Re

Although 3D Gaussian Splatting (3DGS) has achieved impressive performance in real-time rendering, its densification strategy often results in suboptimal reconstruction quality. In this work, we present a comprehensive improvement to the…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Xiaobin Deng , Changyu Diao , Min Li , Ruohan Yu , Duanqing Xu

We describe the use of Graphics Processing Units (GPUs) for speeding up the code NBODY6 which is widely used for direct $N$-body simulations. Over the years, the $N^2$ nature of the direct force calculation has proved a barrier for…

Instrumentation and Methods for Astrophysics · Physics 2015-06-05 Keigo Nitadori , Sverre J. Aarseth

The GOSIP (Gigabit Optical Serial Interface Protocol) provides communication via optical fibres between multiple kinds of front-end electronics and the KINPEX PCIe receiver board located in the readout host PC. In recent years a stack of…

Instrumentation and Detectors · Physics 2021-09-01 Joern Adamczewski-Musch , Nikolaus Kurz

Uncertainty Quantification (UQ) is crucial for deploying reliable Deep Learning (DL) models in high-stakes applications. Recently, General Type-2 Fuzzy Logic Systems (GT2-FLSs) have been proven to be effective for UQ, offering Prediction…

Machine Learning · Computer Science 2025-04-10 Yusuf Guven , Tufan Kumbasar

In software development there is a constant pressure to produce code faster and faster without compromising on quality. New tools supporting developers are created in response to this demand. Currently a new generation of such solutions is…

Software Engineering · Computer Science 2023-01-13 Mateusz Jaworski , Dariusz Piotrkowski

Recently, heterogeneous hardware such as GPU and FPGA is used in many systems and also IoT devices are increased repidly. However, to utilize heterogeneous hardware, the hurdles are high because of much technical skills. In order to break…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-22 Yoji Yamato , Hirofumi Noguchi , Misao Kataoka , Takuma Isoda

The investigation of samples with a spatial resolution in the nanometer range relies on the precise and stable positioning of the sample. Due to inherent mechanical instabilities of typical sample stages in optical microscopes, it is…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-07 Marcel Leutenegger , Michael Weber

While current high-resolution depth estimation methods achieve strong results, they often suffer from computational inefficiencies due to reliance on heavyweight models and multiple inference steps, increasing inference time. To address…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Zhenyu Li , Wenqing Cui , Shariq Farooq Bhat , Peter Wonka

One of the current challenges in physically-based simulations, and, more specifically, fluid simulations, is to produce visually appealing results at interactive rates, capable of being used in multiple forms of media. In recent times, a…

Graphics · Computer Science 2024-04-17 Pedro Centeno , João Madeiras Pereira

The Gemini Planet Imager (GPI) is a high-contrast imaging instrument designed to directly image and characterize exoplanets. GPI is currently undergoing several upgrades to improve performance. In this paper, we discuss the upgrades to the…

GPU compilers are complex software programs with many optimizations specific to target hardware. These optimizations are often controlled by heuristics hand-designed by compiler experts using time- and resource-intensive processes. In this…

Machine Learning · Computer Science 2021-11-24 Ian Colbert , Jake Daly , Norm Rubin

I present a Python package developed for fitting Voigt profiles to absorption lines. The software fits multiple components for various atomic lines simultaneously allowing parameters to be tied and fixed. Moreover, the code is able to…

Instrumentation and Methods for Astrophysics · Physics 2018-03-06 Jens-Kristian Krogager