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Related papers: Reduze - Feynman Integral Reduction in C++

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Pruning Deep Neural Networks (DNNs) is a prominent field of study in the goal of inference runtime acceleration. In this paper, we introduce a novel data-free pruning protocol RED++. Only requiring a trained neural network, and not specific…

Machine Learning · Computer Science 2021-10-05 Edouard Yvinec , Arnaud Dapogny , Matthieu Cord , Kevin Bailly

Optimizing quantum circuits by reducing circuit depth is essential for improving the efficiency and scalability of quantum algorithms, particularly as quantum hardware continues to evolve. This can be achieved by restructuring quantum…

Quantum Physics · Physics 2026-05-07 Folkert de Ronde , Stephan Wong , Sebastian Feld

Solving linear systems of polynomial equations is a ubiquitous problem in both mathematics and physics. The standard approach, Gaussian elimination, scales cubically with system size and often constitutes a computational bottleneck. The…

Computational Physics · Physics 2026-05-26 Giuseppe De Laurentis , Jack Franklin

We present NetReduce, a novel RDMA-compatible in-network reduction architecture to accelerate distributed DNN training. Compared to existing designs, NetReduce maintains a reliable connection between end-hosts in the Ethernet and does not…

Networking and Internet Architecture · Computer Science 2020-09-22 Shuo Liu , Qiaoling Wang , Junyi Zhang , Qinliang Lin , Yao Liu , Meng Xu , Ray C. C. Chueng , Jianfei He

As state of the art neural networks (NNs) continue to grow in size, their resource-efficient implementation becomes ever more important. In this paper, we introduce a compression scheme that reduces the number of computations required for…

Machine Learning · Computer Science 2025-04-25 Hans Rosenberger , Rodrigo Fischer , Johanna S. Fröhlich , Ali Bereyhi , Ralf R. Müller

The MFEM (Modular Finite Element Methods) library is a high-performance C++ library for finite element discretizations. MFEM supports numerous types of finite element methods and is the discretization engine powering many computational…

The main purpose of this paper is to propose five programs in C++ for matrix computations and solving recurrent equations systems with entries in max plus algebra.

Mathematical Software · Computer Science 2012-05-21 Mihai Ivan , Gheorghe Ivan

MFEM is an open-source, lightweight, flexible and scalable C++ library for modular finite element methods that features arbitrary high-order finite element meshes and spaces, support for a wide variety of discretization approaches and…

We present the new version 2.0 of the Feynman integral reduction program Kira and describe the new features. The primary new feature is the reconstruction of the final coefficients in integration-by-parts reductions by means of finite field…

High Energy Physics - Phenomenology · Physics 2023-02-24 Jonas Klappert , Fabian Lange , Philipp Maierhöfer , Johann Usovitsch

Operator fusion, as a key performance optimization technique in the deployment of AI models, significantly improves execution efficiency and has been widely adopted in modern AI compilers. However, for cascaded reduction operations…

Hardware Architecture · Computer Science 2026-03-12 Xinsheng Tang , Yangcheng Li , Nan Wang , Zhiyi Shu , Xingyu Ling , Junna Xing , Peng Zhou , Qiang Liu

This paper describes a C++ library that compiles neural network models at runtime into machine code that performs inference. This approach in general promises to achieve the best performance possible since it is able to integrate statically…

Machine Learning · Computer Science 2019-12-23 Felix Thielke , Arne Hasselbring

Surveys of computational science show that many scientists use languages like C and C++ in order to write code for scientific computing, especially in scenarios where performance is a key factor. In this paper, we seek to evaluate the use…

Computational Physics · Physics 2024-10-28 Willow Veytsman , Shuang Zhai , Chen Ding , Adam B. Sefkow

We propose a functional description of rewriting systems where reduction rules are represented by linear maps called reduction operators. We show that reduction operators admit a lattice structure. Using this structure we define the notion…

Rings and Algebras · Mathematics 2017-02-16 Cyrille Chenavier

We introduce a new method for the application of one-loop integrand reduction via the Laurent expansion algorithm, as implemented in the public C++ library Ninja. We show how the coefficients of the Laurent expansion can be computed by…

High Energy Physics - Phenomenology · Physics 2016-06-28 Valentin Hirschi , Tiziano Peraro

This paper proposes ReBNet, an end-to-end framework for training reconfigurable binary neural networks on software and developing efficient accelerators for execution on FPGA. Binary neural networks offer an intriguing opportunity for…

Machine Learning · Computer Science 2018-03-29 Mohammad Ghasemzadeh , Mohammad Samragh , Farinaz Koushanfar

In this paper we present a C++ implementation of the analytic derivative of a feed-forward neural network with respect to its free parameters for an arbitrary architecture, known as back-propagation. We dubbed this code NNAD (Neural Network…

Computational Physics · Physics 2020-05-15 Rabah Abdul Khalek , Valerio Bertone

RGIsearch is a C++ program that searches for invariants of a user-defined set of renormalization group equations. Based on the general shape of the $\beta$-functions of quantum field theories, RGIsearch searches for several types of…

High Energy Physics - Phenomenology · Physics 2016-04-20 Rob Verheyen

This paper proposes a reduction technique for the generalised Riccati difference equation arising in optimal control and optimal filtering. This technique relies on a study on the generalised discrete algebraic Riccati equation. In…

Dynamical Systems · Mathematics 2013-05-24 Augusto Ferrante , Lorenzo Ntogramatzidis

Existing methods for concealed visual perception (CVP) often leverage reversible strategies to decrease uncertainty, yet these are typically confined to the mask domain, leaving the potential of the RGB domain underexplored. To address…

Computer Vision and Pattern Recognition · Computer Science 2025-08-22 Chunming He , Fengyang Xiao , Rihan Zhang , Chengyu Fang , Deng-Ping Fan , Sina Farsiu

We propose that Feynman integral reduction is controlled by solutions of the Landau equations. We study integral relations with prescribed propagator powers using syzygy methods and discuss how syzygies can be expressed as a sum over…

High Energy Physics - Theory · Physics 2025-12-08 Federico Coro , Pavel P. Novichkov , Ben Page , Qian Song
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