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We introduce cilantro, an open-source C++ library for geometric and general-purpose point cloud data processing. The library provides functionality that covers low-level point cloud operations, spatial reasoning, various methods for point…

Computer Vision and Pattern Recognition · Computer Science 2018-11-19 Konstantinos Zampogiannis , Cornelia Fermuller , Yiannis Aloimonos

Real number calculations on elementary functions are remarkably difficult to handle in mechanical proofs. In this paper, we show how these calculations can be performed within a theorem prover or proof assistant in a convenient and highly…

Mathematical Software · Computer Science 2007-08-29 Marc Daumas , David Lester , César Muñoz

Aboria is a powerful and flexible C++ library for the implementation of particle-based numerical methods. The particles in such methods can represent actual particles (e.g. Molecular Dynamics) or abstract particles used to discretise a…

Mathematical Software · Computer Science 2017-10-13 Martin Robinson , Maria Bruna

Approximate memory is a technique to mitigate the performance gap between memory subsystems and CPUs with its reduced access latency at a cost of data integrity. To gain benefit from approximate memory for realistic applications, it is…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-06 Soramichi Akiyama

The family of Multiscale Hybrid-Mixed (MHM) finite element methods has received considerable attention from the mathematics and engineering community in the last few years. The MHM methods allow solving highly heterogeneous problems on…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-31 Antonio Tadeu A. Gomes , Weslley S. Pereira , Frederic Valentin , Diego Paredes

This work wishes to support various mathematical issues concerning the iterative methods with the help of new programming languages. We consider a way to show how problems in math have an answer by using different academic resources and…

Mathematical Software · Computer Science 2009-05-29 Claudiu Chirilov

We present the C++ library CppSs (C++ super-scalar), which provides efficient task-parallelism without the need for special compilers or other software. Any C++ compiler that supports C++11 is sufficient. CppSs features different…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-02-27 Steffen Brinkmann , Jose Gracia

The Parallel C++ Statistical Library for the Quantification of Uncertainty for Estimation, Simulation and Optimization, Queso, is a collection of statistical algorithms and programming constructs supporting research into the quantification…

Computation · Statistics 2015-07-03 Damon McDougall , Nicholas Malaya , Robert D. Moser

In this paper, we present Ginkgo, a modern C++ math library for scientific high performance computing. While classical linear algebra libraries act on matrix and vector objects, Ginkgo's design principle abstracts all functionality as…

In an era of widespread influence of Natural Language Processing (NLP), there have been multiple research efforts to supplant traditional manual coding techniques with automated systems capable of generating solutions autonomously. With…

Computation and Language · Computer Science 2024-12-10 Namrata Das , Rakshya Panta , Neelam Karki , Ruchi Manandhar , Dinesh Baniya Kshatri

Since the C++ bindings were deleted in 2008, the Message Passing Interface (MPI) community has revived efforts in building high-level modern C++ interfaces. Such interfaces are either built to serve specific scientific application needs…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-17 C. Nicole Avans , Alfredo A. Correa , Sayan Ghosh , Matthias Schimek , Joseph Schuchart , Anthony Skjellum , Evan D. Suggs , Tim Niklas Uhl

The paper introduces a novel representation for Generalized Planning (GP) problems, and their solutions, as C++ programs. Our C++ representation allows to formally proving the termination of generalized plans, and to specifying their…

Artificial Intelligence · Computer Science 2022-06-30 Javier Segovia-Aguas , Yolanda E-Martín , Sergio Jiménez

Machine learning (ML) and artificial intelligence (AI) have become hot topics in many information processing areas, from chatbots to scientific data analysis. At the same time, there is uncertainty about the possibility of extending…

Artificial Intelligence · Computer Science 2018-06-08 Abel Torres Montoya

From a theoretical point of view, finding the solution set of a system of inequalities in only two variables is easy. However, if we want to get rigorous bounds on this set with floating point arithmetic, in all possible cases, then things…

Data Structures and Algorithms · Computer Science 2021-09-21 Walter F. Mascarenhas

We present CubismAMR, a C++ library for distributed simulations with block-structured grids and Adaptive Mesh Refinement. A numerical method to solve the incompressible Navier-Stokes equations is proposed, that comes with a novel approach…

Fluid Dynamics · Physics 2022-06-22 Michail Chatzimanolakis , Pascal Weber , Fabian Wermelinger , Petros Koumoutsakos

FIRE is a program which performs integration-by-parts (IBP) reduction of Feynman integrals. Originally, the C++ version of FIRE relies on the computer algebra system Fermat by Robert Lewis to simplify rational functions. We present an…

High Energy Physics - Phenomenology · Physics 2025-07-17 Alexander V. Smirnov , Mao Zeng

Modern CMake offers the features to manage versatile and complex projects with ease. With respect to OMNeT++ projects, a workflow relying on CMake enables projects to combine discrete event simulation and production code in a common…

Networking and Internet Architecture · Computer Science 2021-10-15 Heinz-Peter Liechtenecker , Raphael Riebl

We present the design and implementation of a \texttt{C++} class for reliability analysis of multi-state systems using an algebraic approach based on monomial ideals. The class is implemented within the open-source \verb|CoCoALib| library…

Commutative Algebra · Mathematics 2021-10-01 Anna Maria Bigatti , Patricia Pascual-Ortigosa , Eduardo Sáenz-de-Cabezón

This work presents MLIR, a novel approach to building reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous hardware, significantly reduce the cost of building…

This paper presents an open-source neural machine translation toolkit named CytonMT (https://github.com/arthurxlw/cytonMt). The toolkit is built from scratch only using C++ and NVIDIA's GPU-accelerated libraries. The toolkit features…

Computation and Language · Computer Science 2018-06-05 Xiaolin Wang , Masao Utiyama , Eiichiro Sumita
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