Results 241 to 250 of about 259,090 (289)
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Analysis of floating point operations in microcontrollers
2011 Proceedings of IEEE Southeastcon, 2011The purpose of this paper is to identify the advantages of including a floating point hardware / a mathematical co-processor in microcontrollers used for critical floating point operations. Three different microcontrollers are considered: Renesas M16C/62P (CISC without FPU), ATMEGA1280 (RISC without MCU) and Renesas RX62N (CISC with FPU).
Aswin Ramakrishnan, James M. Conrad
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Formalization and implementation of floating-point matrix operations
Computing, 1976The paper shows that floating-point matrix operations can be implemented in a way which leads to reasonable mathematical structures as well as to sensible compatibility properties between these structures and the structure of the real matrices. It turns out, for instance, that all the rules of the minus-operator for real matrices can be saved and that ...
Kulisch, U., Bohlender, G.
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Micro-optimization of floating-point operations
Proceedings of the third international conference on Architectural support for programming languages and operating systems, 1989This paper describes micro-optimization, a technique for reducing the operation count and time required to perform floating-point calculations. Micro-optimization involves breaking floating-point operations into their constituent micro-operations and optimizing the resulting code. Exposing micro-operations to the compiler creates many opportunities for
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A dyadic floating-point mutation operator of EC
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003The performance of evolutionary computation (EC) is determined by many parameters among which the mutation operator plays an important role especially for floating-point EC. However, the traditional mutation operation can't effectively keep EC from trapping in local extremum. In order to improve the efficiency of EC, a novel dyadic mutation operator is
null Xu Xiangyong +2 more
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Acceleration of accurate floating point operations using SIMD
2014 9th International Conference on Computer Engineering & Systems (ICCES), 2014Several computing systems that use decimal number calculations suffer from the accumulation and propagation of errors. Decimal numbers are represented using specific length floating point formats and hence there will always be a truncation of extra fraction bits causing errors. Several solutions had been proposed for such a problem.
DiaaEldin M. Abdalla +2 more
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An IEEE floating-point adder for multi-operation
Proceedings. 7th International Conference on Solid-State and Integrated Circuits Technology, 2004., 2005An IEEE-754 compliant, single and double precision floating-point (FP) adder for 14 FP operations is presented. FP operations, including addition, subtraction, conversion, comparison and the final addition and rounding of multiplication, have similar operation steps and are implemented in the FP adder.
null Ping Huang +2 more
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A parameterizable floating-point logarithm operator for FPGAs
Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2006As FPGAs are increasingly being used for floating- point computing, a parameterized floating-point logarithm oper- ator is presented. In single precision, this operator uses a small fraction of the FPGA's resources, has a smaller latency than its software equivalent on a high-end processor, and provides about ten times the throughput in pipelined ...
J. Detrey, F. de Dinechin
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Generating Uniformly Distributed Random Numbers without Floating Point Operations
Probability in the Engineering and Informational Sciences, 1992We present a fast algorithm for random numbers distributed uniformly on (0,1). In contrast to most other generators, it uses no floating point operations. Instead, the internal bit representation of the numbers is generated directly from a random bit source.
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Lazy exact real arithmetic using floating point operations
2019<p>Exact real arithmetic systems can specify any amount of precision on the output of the computations. They are used in a wide variety of applications when a high degree of precision is necessary. Some of these applications include: differential equation solvers, linear equation solvers, large scale mathematical models, and SMT solvers.
Ryan McCleeary +5 more
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