Results 31 to 40 of about 97,714 (259)
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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Floating Point Verification [PDF]
, 1998 JUCS - Journal of Universal Computer Science Volume Nr.
openaire +2 more sources
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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A SINGLE/DOUBLE PRECISION FLOATING-POINT MULTIPLIER DESIGN FOR MULTIMEDIA APPLICATIONS
Electrica, 2009 Modern graphic processors, multimedia processors, and general-purpose processors with multimedia extensions provide SIMD floating-point instructions. SIMD floating-point multiplication is commonly used in 2D and 3D applications, which mostly use single ...
Mustafa GÖK, Metin Mete ÖZBİLEN
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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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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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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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Design and Implementation of Multicore Floating-point Nonlinear Operation Coprocessor [PDF]
Jisuanji gongcheng, 2017 When designing terminal instrument for manned spacecraft,the floating-point nonlinear operation of processing algorithms is achieved by library function.But the speed is always very slow,when software is used to implement nonlinear operations,which ...
MA Xiaoxia,LI Wenxin,JIN Tian,ZHAO Yanrong,XIA Jiagao
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