Results 41 to 50 of about 5,721,777 (374)
Templatized Fused Vector Floating-Point Dot Product for High-Level Synthesis
Journal of Low Power Electronics and Applications, 2022 Machine-learning accelerators rely on floating-point matrix and vector multiplication kernels. To reduce their cost, customized many-term fused architectures are preferred, which improve the latency, power, and area of the designs.
Dionysios Filippas +2 more
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On Floating-Point Summation [PDF]
SIAM Review, 1995 The author starts with a general algorithm for summing up \(n + 1\) numbers \(x_i\), \(i = 0,\dots,n\). He relates the total error \(\widehat{s}_n - s_n\) in the floating point summation to the computed intermediate machine sums \(\widehat{s}_i\) and to the initial errors \(e_{\widehat{x}_i} = \widehat{x}_i - x_i\) where \(\widehat{x}_i\) is the ...
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Verification of Floating-Point Adders [PDF]
, 1997 The floating-point(FP) division bug in Intel’s Pentium processor and the overflow flag erratum of the FIST instruction in Intel’s Pentium Pro and Pentium II processor have demonstrated the importance and the difficulty of verifying FP arithmetic circuits.
Yirng-An Chen, Bryant, Randal E.
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Optimal Controller and Filter Realisations using Finite-precision, Floating- point Arithmetic. [PDF]
, 2005 The problem of reducing the fragility of digital controllers and filters implemented using finite-precision, floating-point arithmetic is considered.
Chen, Sheng +3 more
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Noise Reduction Using Modified Wiener Filter in Digital Hearing Aid for Speech Signal Enhancement
Journal of Intelligent Systems, 2019 Speech signals are usually affected by noises during the communication process. For suppressing the noise signal that is combined with the speech signal, a Wiener filter is adapted in digital hearing aids.
Kumar Madam Aravind +1 more
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AxCEM: Designing Approximate Comparator-Enabled Multipliers
Journal of Low Power Electronics and Applications, 2020 Floating-point multipliers have been the key component of nearly all forms of modern computing systems. Most data-intensive applications, such as deep neural networks (DNNs), expend the majority of their resources and energy budget for floating-point ...
Samar Ghabraei +3 more
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Design and Implementation of Numerical Linear Algebra Algorithms on Fixed Point DSPs
EURASIP Journal on Advances in Signal Processing, 2007 Numerical linear algebra algorithms use the inherent elegance of matrix formulations and are usually implemented using C/C++ floating point representation.
Nguyen Ha Thai +2 more
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MATEC Web of Conferences, 2016 This paper describes a single precision floating point division based on Newton-Raphson computational division algorithm. The Newton-Raphson computational algorithm is implemented using 32-bit floating point multi-plier and subtractor.
Singh Naginder, Sasamal Trailokya Nath
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Mixed-precision weights network for field-programmable gate array.
PLoS ONE, 2021 In this study, we introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different weight spaces: binary {-1,1}, ternary {-1,0,1}, and 32-bit floating-point.
Ninnart Fuengfusin, Hakaru Tamukoh
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Efficient Floating Point Arithmetic for Quantum Computers
IEEE Access, 2022 One of the major promises of quantum computing is the realization of SIMD (single instruction - multiple data) operations using the phenomenon of superposition.
Raphael Seidel +4 more
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