Proceedings ArticleDOI
Research trends in development of floating point computer arithmetic
Lokesh Kamble,Prachi Palsodkar,Prasanna Palsodkar +2 more
- pp 0329-0333
TLDR
The main intent behind the design of floating point multiplier unit is to increase the speed so as to improve the performance of the signal processing application.Abstract:
Most of the today's processor's require fast arithmetic operation with greater accuracy and relies on floating point arithmetic for numerical calculation Addition and multiplication are the keys of floating point arithmetic realization at various levels in literature which is surveyed here When we consider floating point unit, addition is at the top level in term of operation intricacy The floating point unit provides with certain amount of delay with significant area Many researchers have worked to reduce the overall latency In order to design an efficient floating point adder the major requisite is improvement in performance, area and latency Multiplication is the most important operation in the field of signal processing Multiplication includes add and shift operation which requires large computation time The main intent behind the design of floating point multiplier unit is to increase the speed so as to improve the performance of the signal processing application A different design paradigm of floating point unit is compared here using Xilinx ISE 131 using device Vertex 5read more
Citations
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Journal Article
FFT implementation with fused floating-point operations
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Design and implementation of floating point processor
TL;DR: This paper is going to incorporate various instructions which will be serving for a dynamic range of applications which the floating point unit needs to be fast enough to process real time signals.
Journal ArticleDOI
Performance Analysis of BigDecimal Arithmetic Operation in Java
TL;DR: In this paper, statistical data are presented of performance impact on using BigDecimal compared to the double data type, which is treated as an object and requires additional CPU and memory usage to operate with.
Dissertation
FPGA-based design of a math co-processor for the Amir CPU
TL;DR: In this paper, a math coprocessor for the AMIR CPU that can perform addition, subtraction, multiplication and division on IEEE-754 single precision floating-point numbers is presented.
Proceedings Article
Augmented Checkability of LUT-oriented Circuits in FPGA-based Components of Safety-Related Systems
TL;DR: A method of checkability assessment is proposed, which analyzes faults in a circuit built on the basis of elementary LUT units, which extends the checkability of circuits by identifying the situation when the fault is caused by bits from both subsets (checkable and not checkable).
References
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Book
Computer Architecture: A Quantitative Approach
TL;DR: This best-selling title, considered for over a decade to be essential reading for every serious student and practitioner of computer design, has been updated throughout to address the most important trends facing computer designers today.
Journal ArticleDOI
FFT Implementation with Fused Floating-Point Operations
Earl E. Swartzlander,Hani Saleh +1 more
TL;DR: Two fused floating-point operations are described and applied to the implementation of fast Fourier transform (FFT) processors and the numerical results of the fused implementations are slightly more accurate, since they use fewer rounding operations.
Proceedings ArticleDOI
A floating-point fused add-subtract unit
Hani Saleh,Earl E. Swartzlander +1 more
TL;DR: Afloating-point fused add-subtract unit is described that performs simultaneous floating-point add and subtract operations on a common pair of single-precision data in about the same time that it takes to perform a single addition with a conventional floating- point adder.
Proceedings ArticleDOI
Floating-point fused multiply-add: reduced latency for floating-point addition
Javier D. Bruguera,Tomás Lang +1 more
TL;DR: An architecture for the computation of the double-precision floating-point multiply-add fused (MAF) operation A+(B/spl times/C) that permits to compute the floating-points addition with lower latency than floating- point multiplication and MAF is proposed.
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