Results 11 to 20 of about 3,495,734 (230)
High-Performance Computation in Residue Number System Using Floating-Point Arithmetic
Residue number system (RNS) is known for its parallel arithmetic and has been used in recent decades in various important applications, from digital signal processing and deep neural networks to cryptography and high-precision computation.
Konstantin Isupov
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Using Floating-Point Intervals for Non-Modular Computations in Residue Number System
The residue number system (RNS) provides parallel, carry-free, and high-speed arithmetic and is therefore a good tool for high-performance computing. However, operations such as magnitude comparison, sign computation, overflow detection, scaling, and ...
Konstantin Isupov
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Symmetric Encryption Algorithms in a Polynomial Residue Number System
In this paper, we develop the theoretical provisions of symmetric cryptographic algorithms based on the polynomial residue number system for the first time. The main feature of the proposed approach is that when reconstructing the polynomial based on the
I. Yakymenko +3 more
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Practical Evaluation of Protected Residue Number System Scalar Multiplication
The Residue Number System (RNS) arithmetic is gaining grounds in public key cryptography, because it offers fast, efficient and secure implementations over large prime fields or rings of integers.
Louiza Papachristodoulou +3 more
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The article proposes new modified Multiply-Accumulate (MAC) units called truncated MAC units and using residue number system (RNS) with moduli of a special form.
Pavel Lyakhov +3 more
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PaReNTT: Low-Latency Parallel Residue Number System and NTT-Based Long Polynomial Modular Multiplication for Homomorphic Encryption [PDF]
High-speed long polynomial multiplication is important for applications in homomorphic encryption (HE) and lattice-based cryptosystems. This paper addresses low-latency hardware architectures for long polynomial modular multiplication using the number ...
Weihang Tan +4 more
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This research introduces innovative approaches to enhance intrusion detection systems (IDSs) by addressing critical challenges in existing methods. Various machine-learning techniques, including nature-inspired metaheuristics, Bayesian algorithms, and ...
Y. Saheed, T. Kehinde, M. Raji, U. Baba
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Efficient Residue Number System Based Winograd Convolution [PDF]
Prior research has shown that Winograd algorithm can reduce the computational complexity of convolutional neural networks (CNN) with weights and activations represented in floating point.
Zhi-gang Liu, Matthew Mattina
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Res-DNN: A Residue Number System-Based DNN Accelerator Unit
In this article, a technique, based on using Residue Number System (RNS) is suggested to improve the energy efficiency of Deep Neural Networks (DNNs).
Nasim Samimi +3 more
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Constant-coefficient FIR filters based on residue number system arithmetic [PDF]
In this paper, the design of a Finite Impulse Response (FIR) filter based on the residue number system (RNS) is presented. We chose to implement it in the (RNS), because the RNS offers high speed and low power dissipation.
Stamenković Negovan +1 more
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