Results 1 to 10 of about 2,367 (68)
Applied Sciences, 2021 Hardware-in-the-loop (HIL) simulations of power converters must achieve a truthful representation in real time with simulation steps on the order of microseconds or tens of nanoseconds. The numerical solution for the differential equations that model the
Roberto Saralegui +2 more
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Arpra: An Arbitrary Precision Range Analysis Library
Frontiers in Neuroinformatics, 2021 Motivated by the challenge of investigating the reproducibility of spiking neural network simulations, we have developed the Arpra library: an open source C library for arbitrary precision range analysis based on the mixed Interval Arithmetic (IA)/Affine
James Paul Turner, Thomas Nowotny
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Metrics, Noise Propagation Models, and Design Framework for Floating-Point Approximate Computing
IEEE Access, 2021 Approximate computing has emerged as an efficient solution for energy saving at the expense of calculation accuracy, especially for floating-point operation intensive applications, which have urgent demands for some uniform design frameworks for floating-
Yiyao Xiang +4 more
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Floating Point Optimization Using VHDL [PDF]
Engineering and Technology Journal, 2009 Due to inherent limitations of the fixed-point representation, it is sometimes desirable to perform arithmetic operations in the floating-point format.
Manal Hammadi Jassim
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm
IET Software, 2023 The use of floating-point numbers inevitably leads to inaccurate results and, in certain cases, significant program failures. Detecting floating-point errors is critical to ensuring that floating-point programs outputs are proper.
Hongru Yang +4 more
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A Latency-Effective Pipelined Divider for Double-Precision Floating-Point Numbers
IEEE Access, 2020 In this article, we propose an effective algorithm of pipelined dividers for double-precision floating-point numbers. This reduces the latency of the previous pipelined dividers without increasing the lookup table size. The experimental results show that
Juwon Yun +4 more
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Scaling up and down of 3-D floating-point data in quantum computation
Scientific Reports, 2022 In the past few decades, quantum computation has become increasingly attractive due to its remarkable performance. Quantum image scaling is considered a common geometric transformation in quantum image processing, however, the quantum floating-point data
Meiyu Xu, Dayong Lu, Xiaoyun Sun
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CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator
Journal of Algorithms & Computational Technology, 2011 Modern GPUs open a completely new field to optimize embarrassingly parallel algorithms. Implementing an algorithm on a GPU confronts the programmer with a new set of challenges for program optimization.
Jakob Siegel +2 more
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Instruction Fetch Policy for SMT Processors with Different Allocations of Floating-point and Integer Resources [PDF]
Jisuanji gongcheng, 2017 In Simultaneous Multithreading(SMT) processors,different threads have different demands for floating-point and integer resources.How to allocate shared resources among threads is the key point to improve the whole performance for SMT processors.Aiming at
JIANG Shengjian,HU Xiangdong,YANG Jianxin
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IEEE Access, 2020 Matrix computing is a basic operational model that was broadly used in science and engineering applications. In this study, we first propose a novel optimization method to obtain a high-performance and scalable architecture for matrix multiplication ...
Longlong Zhang +3 more
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