General Decimal Arithmetic (original) (raw)
Welcome to the General Decimal Arithmetic website, which is now hosted at speleotrove.com. The page and file names here have not been changed from the names used on the previous website, www2.hursley.ibm.com.
Most computers today support binary floating-point in hardware. While suitable for many purposes, binary floating-point arithmetic should not be used for financial, commercial, and user-centric applications or web services because the decimal data used in these applications cannot be represented exactly using binary floating-point. (See the Frequently Asked Questions pages for an explanation of this, and several examples.)
The problems of binary floating-point can be avoided by using base 10 (decimal) exponents and preserving those exponents where possible. This site describes a decimal arithmetic which achieves the necessary results and is suitable for both hardware and software implementation. It brings together the relevant concepts from a number ofANSI, IEEE, ECMA, and ISO standards, and conforms to the decimal formats and arithmetic in theIEEE 754 standard (‘754-2008’)published by the IEEE in August 2008, and theISO/IEC/IEEE 60559:2011standard, published by ISO in July 2011. IEEE 754-2008 is currently undergoing a minor revision.
The decimal-encoded formats and arithmetic described in the new standard now have many implementations in hardware and software (see links below), including:
- the hardware decimal floating-point unit in theIBM POWER6 andPOWER7processors, the firmware (with assists) in theIBM System z9 mainframe, and the hardware decimal floating-point unit in theIBM System z10 and later mainframe processors (seethis paper for details)
- SilMinds’Decimal Floating Point Arithmetic hardwareIP Cores Family(see also theirpresentation for some details)
- Fujitsu’s decimal instructions in theSPARC64 X processor(see presentation, charts 5 & 6).
- GCC 4.2 and later includes support for most of theISO C extensions (ISO/IEC TS 18661-2) for decimal floating point.
For more information and details of later GCC versions, etc., seeNelson H.F.Beebe's Decimal-arithmetic support in gcc compilers page.
- SAP NetWeaver 7.1, which includes the new DECFLOAT datatype in ABAP, withsupport for hardware decimal floating-point on Power6
- IBMXL C/C++ for AIX, Linux andz/OS,DB2 for z/OS,Linux, UNIX, and Windows, and Enterprise PL/I for z/OS; IBM is also adding support to many other software products including z/VM V5.2, System i/OS, the dbx debugger, and Debug Tool Version 8.1
Stefan Krah’s mpdecimal package (libmpdec): a complete implementation of the General Decimal Arithmetic Specification that will – with minor restrictions – also conform to the IEEE 754-2008 Standard for Floating-Point Arithmetic. Starting from Python-3.3, libmpdec is the basis for Python's decimal module.
The combination of formats and arithmetic defined here and in the IEEE 754 and ISO/IEC/IEEE 60559:2011 standards describe a new_decimal data type_, in various sizes. Notably, this single data type can be used for integer, fixed-point, and floating-point decimal arithmetic, and the design permits compatible fixed-size and arbitrary-precision implementations. Further, most existing numeric data in commercial databases are stored in a decimal form (one or two digits per byte), which can be converted to and from the decimal-encoded formats efficiently and easily.
The main features of the arithmetic are summarized below. For the background and rationale for the design of the arithmetic, see Decimal Floating-Point: Algorism for Computers in the Proceedings of the 16th IEEE Symposium on Computer Arithmetic (Cowlishaw, M. F., 2003).
Parts of these decimal arithmetic pages are reproduced with permission from IBM © Copyright 1997, 2008 by International Business Machines Corporation. Copyright © Mike Cowlishaw 1981, 2015.
Documentation and downloads
Here you will find documentation and downloads fordecimal arithmetic,fixed-size decimal formats (encodings) and their performance, the decNumber reference implementation, the DFPAL PowerPC abstraction layer, and the language-independent testcases.
- This first document describes the decimal arithmetic in a language-independent and encoding-independent manner:
Arithmetic Version Description Specification [.html | .pdf] 1.70 2009.03.25 Decimal floating-point arithmetic, with unrounded and integer arithmetic as a subset (IEEE 754 + IEEE 854 + ANSI X3.274 + ECMA 334 + Java[TM] 5). This specification forms the basis for a number of implementations, and also describes the decimal arithmetic in the new IEEE 754 standard. - The next document describes three decimal-encoded formatsdesigned by theIEEE 754 Revision Committee, accepted in January 2003 (‘Strawman 4d’), and now part of the revised IEEE 754 standard. Also here are some performance measurements comparing operations using various encodings.
Formats Version Description Specification [.html | .pdf] 1.01 2009.03.20 Concrete decimal formats (bit encodings) suitable for hardware or software implementation of native decimal datatypes; these provide up to 7, 16, or 34 digits of precision. Performance [.html | .pdf] 1.12 2009.03.21 Performance measurements on three implementations that support the IEEE 754 decimal formats. Sample code [.html] 1.00 2003.04.10 Java[TM] classes which illustrate the decimal encoding of decimal floating-point numbers, and the corresponding decoding. (The earlier ‘Strawman 1’ proposal, implemented as decSingle and decDouble in early versions of the decNumber package, is available for historical interest inPDF form. See also: A Decimal Floating-Point Specification, Schwarz et al., 15th IEEE Symposium on Computer Arithmetic [presentation charts].) - The decNumber package, an implementation of the specifications in ANSI C, provides a _reference implementation_for both the arithmetic and the encodings. It includes both an arbitrary-precision implementation and a (much faster)decFloats implementation that uses the IEEE 754 decimal encodings directly to implement decSingle, decDouble, and decQuad datatypes.
The package is available under two free open source licenses (the ICU license is the simpler and the less restrictive), and is suitable for little-endian or big-endian systems which support 32-bit (or wider) integers. It is currently in use on dozens of different platforms, including mainframes, PowerPC, ARM-based microcontrollers and tablets, x86, and over 20 varieties of Unix.decNumber Version Description Documentation [.html | .pdf] 3.68 2010.01.23 Describes the decNumber package, including a User’s Guide section with several examples. (Note that the documentation here may be a more recent version than some versions of downloadable code. If such is the case, check the changes list in the Appendix to determine if this document applies.) Errata Known bugs and fixes since 3.56, 2007.10.12. International Components for Unicode (ICU) decNumber package in ICU decNumber .zip download 3.68 2010.02.10 The ‘decNumber .zip download’ includes the source code (.h and .c files), together with the examples, the ICU license, and the documentation in PDF format. GPL open source decNumber C code in GCC decNumber .zip download decExamples.zip 3.53 2007.09.07 ‘decNumber C code’ links to the open source code (.h and .c files), part of the GCC project (GPL license). The ‘decNumber .zip download’ also includes the source code, etc. ‘decExamples.zip’ contains the example files referred to in the documentation and also thereadme.txt file which has suggestions on how to compile and run the examples. Patches <decNumber368-patches-20210522.zip> 3.68 2021.05.22 The decNumber368-patches-20210522.zip file contains three.patch files, contributed by Matthew Hagerty. The patches are needed for the decNumber 3.68 code to compile cleanly with gcc 10.2.0. See the included .txt file and also Matthew Hagerty’sdecNumber github page for more information. More implementations of the arithmetic are listedbelow. - Punit Shah’s DFPAL package provides an abstraction layer for AIX, i5/OS (under PASE), and Linux on Power that will automatically use PowerPC (Power6) Decimal Floating-Point hardware if available (or will otherwise use decNumber for decimal calculations).
In addition to arithmetic operations and various utilities, DFPAL also provides conversions between decimal floating point formats and many other programming language intrinsic data types such as binary floating point and integers. - Finally, the following language-independent testcases can be used for testing implementations; these are part of the decNumber package documentation, and are also covered by theICU license:
Testcases Version Description Documentation [.html | .pdf] 2.44 2009.03.24 Describes the testcase file format, testcase coverage, and testcase sources. Download dectest.zip dectest0.zip 2.62 2010.04.19 The extended (dectest.zip) and subset (dectest0.zip) testcase files (containing more than 81,300 tests). These cover all the operations and conversions described in the specifications, and include tests for the decimal encodings. See also theIBM Haifa test suite (FPGen), and Hossam Fahmy’sArithmetic operations debugging and verification page.
Summary of the arithmetic
The decimal arithmetic described here combines the requirements of both fixed-point and floating-point arithmetic, giving the following advantages:
The arithmetic permits a single representation of decimal numbers, whether they be integers, fixed-point (scaled), or floating-point; this minimizes conversion overheads. The arithmetic was designed as a decimal extended floating-point arithmetic, directly implementing the rules that people are taught at school. Up to a given working precision, exact unrounded results are given when possible (for instance, 0.9 ÷ 10 gives 0.09, not 0.089999996), and trailing zeros are correctly preserved in most operations (1.23 + 1.27 gives 2.50, not 2.5). Where results would exceed the working precision, floating-point rules apply. The working precision of the arithmetic is not necessarily determined by the representation, but may be freely selectable within the limits of the representation as required for the problem being solved. Implementations may provide very high precision if they wish. The arithmetic operations are robust; integers will never ‘wrap’ from positive to negative when being incremented, and, if required, ill-defined or out-of-range results immediately throw exceptions. | The concept of a context for operations is explicit. This allows application-global rules (such as precision, rounding mode, and exception handling) to be easily implemented and modified. This aids testing and error analysis, as well as simplifying programming. The core arithmetic was developed in 1980–1981, based directly on user feedback and requirements, and in consultation with professional mathematicians and data processing experts. It has been heavily used for over 27 years without problems, and was reviewed in depth and published by the X3J18 committee for the ANSI X3.274–1996 standard. The same arithmetic has been included in Java[TM] 5, through JSR 13, and in several other languages (see the links below). More recently, the core arithmetic has been extended to include the special values and other requirements of IEEE 854 (the radix-independent generalization of IEEE 754-1985). This combined arithmetic meets commercial, scientific, mathematical, and enginering requirements, and is now included in theIEEE 754-2008 and theISO/IEC/IEEE 60559:2011 standards. |
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Web links
The links below provide background and related information.
Some of the links below may be 'broken' (that is, no longer correct, or invalid).My current strategy is to leave these here because in most cases the original and/or most recent version of the page can be found at the 'Wayback machine' at the Internet Archive ‐ just copy the URL to the search field there.
Background & Rationale Frequently Asked Questions (FAQ) about decimal arithmetic and decimal data Decimal Floating-Point: Algorism for Computers [PDF] (Presented at the 16th IEEE Symposium on Computer Arithmetic [Arith16], June 2003.)Also available aspresentation charts orhandouts A Decimal Floating-Point Specification [PDF] (Presented at the 15th IEEE Symposium on Computer Arithmetic [Arith15], June 2001.)Also available aspresentation charts Support for Decimal Floating-Point in C (presentation) The ‘telco’ benchmark Hardware implementations Fujitsu’s decimal Densely Packed Decimal and NUMBER support instructions in the SPARC64 X processor announced at Hot Chips 24, August 2012. (See charts 5 & 6 of this presentation.) SilMinds’ Decimal Floating Point ArithmeticIP Cores Family product page andIP Cores Family presentation, and also theirDecTool Parser-Coder software tool The paper: Decimal floating-point support on the IBM System z10 processor – by Eric Schwarz, John Kapernick, and Mike Cowlishaw (January 2009) – describes decimal floating-point hardware in, and supporting software for, the new IBM System z10 mainframe. See also Charles Webb’s IBM z6 – The Next-Generation Mainframe Microprocessor presentation at Hot Chips 19, August 2007(details of the decimal floating-point unit in the z6 are on charts 7, 19, and 20) Power PC (Power6) announcement; see also thePower Instruction Set Architecture Decimal Floating Point (Book 1, Chapter 5), and Bradley McCredie’s Microprocessor ForumPower Roadmap (details of the decimal floating-point unit in Power6 are on charts 12–14) IBM System z9 announcement; see alsoDecimal floating-point in z9: An implementation and testing perspective and thePreliminary Decimal-Floating-Point Architecture for IBM System z processors Software with hardware support GCC 4.3 includes the proposed ISO C extensions for decimal floating point, with hardware support for IBM Power and System z decimal instructionsIBM XL C/C++ for AIX and Linux IBM XL C/C++ for z/OS IBM DB2 for z/OS IBM DB2 for Linux, UNIX, and Windows IBM Enterprise PL/I for z/OS IBM High-Level Assembler (HLASMPK18170: Support for z9 Business Class D/T2094.) IBM DFPAL; an abstraction layer for AIX, i5/OS, and LinuxSAP NetWeaver 7.1, which includes the new DECFLOAT datatype in ABAP with support for hardware decimal floating-point on Power6. For details, see the white paper Decimal Floating Point Computations in SAP NetWeaver 7.10. Software implementations The decNumber anddecFloats reference implementation, in ANSI C GCC 4.2 (July 2007) is the first GCC release with support for the proposed ISO C extensions for decimal floating point.![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Bibliography Categorized Bibliography Alphabetic Bibliography Bibliography by Year Related Decimal Links ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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Please send any comments or corrections toMike Cowlishaw (mfc),mfc@speleotrove.com; see alsospeleotrove.com. |
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Parts of these decimal arithmetic pages are reproduced with permission from IBM © Copyright 1997, 2008 by International Business Machines Corporation. Copyright © Mike Cowlishaw 1981, 2015. Java is a trademark of Sun Microsystems Inc. and Oracle. |