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K. Pande

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Open access Jul 2026

An Integrated Framework for High-Precision and Low-Power Computing

A unique combination of Posit arithmetic, iterative division, SIMD parallelisation, and pipelining optimisation into a single framework that addresses the shortcomings of IEEE-754 floating-point arithmetic and can be used effectively in high-performance computing systems, embedded processors, and AI accelerators.

K. Pande, P. Karule · 0 citations
Open access Aug 2026

Deep Learning-Augmented Design of Floating-Point Arithmetic Units for High-Performance Nonlinear Computations

Nonlinear computations plays a critical role in modern applications such as deep learning, digital signal processing, cryptography, and scientific modelling, yet conventional IEEE-754 floating-point units struggle to meet the conflicting demands of high precision, low latency, and energy efficiency. Static data paths,...

K. Pande, P. Karule · 0 citations

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