Textual Conventions for the Representation of Floating-Point Numbers
نویسنده
چکیده
This memo defines a Management Information Base (MIB) module containing textual conventions (TCs) to represent floating-point numbers. Information about the current status of this document, any errata, and how to provide feedback on it may be obtained at in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
منابع مشابه
The Effect of Visual Representation, Textual Representation, and Glossing on Second Language Vocabulary Learning
In this study, the researcher chose three different vocabulary techniques (Visual Representation, Textual Enhancement, and Glossing) and compared them with traditional method of teaching vocabulary. 80 advanced EFL Learners were assigned as four intact groups (three experimental and one control group) through using a proficiency test and a vocabulary test as a pre-test. In the visual group, stu...
متن کاملIEEE Standard 754 Floating Point Numbers
There are several ways to represent real numbers on computers. Fixed point places a radix point somewhere in the middle of the digits, and is equivalent to using integers that represent portions of some unit. For example, one might represent 1/100ths of a unit; if you have four decimal digits, you could represent 10.82, or 00.01. Another approach is to use rationals, and represent every number ...
متن کاملCustomising Floating-Point Designs
This paper describes a method for customising the representation of floating-point numbers that exploits the flexibility of reconfigurable hardware. The method determines the appropriate size of mantissa and exponent for each operation in a design, so that a cost function with a given error specification for the output relative to a reference representation can be satisfied. Currently our tool,...
متن کاملDeep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Deep convolutional neural network (CNN) inference requires significant amount of memory and computation, which limits its deployment on embedded devices. To alleviate these problems to some extent, prior research utilize low precision fixed-point numbers to represent the CNN weights and activations. However, the minimum required data precision of fixed-point weights varies across different netw...
متن کاملASIC Design of Butterfly Unit Based on Non-Redundant and Redundant Algorithm
Fast Fourier Transform (FFT) processors employed with pipeline architecture consist of series of Processing Elements (PE) or Butterfly Units (BU). BU or PE of FFT performs multiplication and addition on complex numbers. This paper proposes a single BU to compute radix-2, 8 point FFT in the time domain as well as frequency domain by replacing a series of PEs. This BU comprises of fused floating ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- RFC
دوره 6340 شماره
صفحات -
تاریخ انتشار 2011