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A run-time C++ library for working with units of measurement and conversions between them and with string representations of units and measurements

Units

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Documentation

The Units library provides a means of working with units of measurement at runtime, including conversion to and from strings. It provides a small number of types for working with units and measurements and operations necessary for user input and output with units.

This software was developed for use in LLNL/GridDyn, and HELICS and is currently a work in progress (though getting close). Namespaces, function names, and code organization is subject to change though is fairly stable at this point, input is welcome. A set of documentation is available.

Table of contents

Purpose

A units library was needed to be able to represent units from a wide range of disciplines and be able to separate them from the numerical values for use in calculations when needed. The main drivers are

  1. converting units, often represented by strings, to a standardized unit set when dealing with user input and output.
  2. Being able to use the unit as a singular type that could contain any unit, and not introduce a huge number of types to represent all possible units.
  3. Being able to associate a completely arbitrary unit given by users with a generic interface and support conversions between those user defined units and other units.
  4. The library has its origins in power systems so support for per-unit operations was also lacking in the alternatives.
  5. Capture uncertainty and uncertainty calculations directly with a measurement

It was desired that the unit representation be a compact type(<=8 bytes) that is typically passed by value, that can represent a wide assortment of units and arbitrary combinations of units. The primary use of the conversions is at run-time to convert user input/output to/from internal units, it is not to provide strict type safety or dimensional analysis, though it can provide some of that. This library does NOT provide compile time checking of units. The units library supports units and operations on units where many of the units in use are unknown at compile time and conversions and definitions are dealt with at run time, and may be of a wide variety of units.

This library is an engineering library, created to represent a huge variety of units and measurements in a simple data type instead of a proliferation of templates. It supports conversion of units to and from strings. It supports mathematical operations on units and measurements which are constexpr where possible. It supports units used in a wide variety of scientific and non-scientific contexts. Supports conversions between different units of the same type as well as some typical assumptions for supporting conversions of a few dissimilar types. In some cases it also has some notion of commodities, and support for existing unit standards for strings and naming.

Basic use case

The primary use case for the library is string operations and conversion. For example if you have a library that does some computations with physical units. In the library code itself the units are standardized and well defined. For example take a velocity, internally everything is in meters per second, but there is a configuration file that takes in the initial data and you would like to broadly support different units on the input

#include <units/units.hpp>

double GetInputValueAs(const std::string &input, precise_units out)
{
   auto meas=measurement_from_string(input);
   return meas.value_as(out);
}

The return value can be checked for validity as an invalid conversion would result in constants::invalid_conversion or Nan so can be checked by std::isnan or

if (!meas.units().is_convertible(out))
{
    throw(std::invalid_argument);
}

Limitations

  • The powers represented by units by default are limited see Unit representation and only normal physical units or common operations are supported, this can be modified at compile time to support a much broader range at the expense of size and computation.
  • The library uses floating point and double precision for the multipliers which is generally good enough for most engineering contexts, but does come with the limits and associated loss of precision for long series of calculations on floating point numbers.
  • Currency is supported as a unit but it is not recommended to use this for anything beyond basic financial calculations. So, if you are doing a lot of financial calculations or accounting, use something more specific for currency manipulations. It also does not maintain any notion of currency conversions since those fluctuate in value. It may at some point recognize different currency names though commodities.
  • Fractional unit powers are not supported in general. While some mathematical operations on units are supported any root operations sqrt or cbrt will only produce valid results if the result is integral powers of the base units. One exception is limited support for √Hz operations in measurements of Amplitude spectral density. A specific definition of a unit representing square root of Hz is available and will work in combination with other units.
  • While conversions of various temperature definitions are supported, there is no generalized support for datums and bias shifts. It may be possible to add some specific cases in the future for common uses cases but the space requirement limits such use. Some of the other libraries have general support for this.
  • A few equation like units are supported these include logarithms, nepers, and some things like Saffir-Simpson, Beaufort, and Fujita scales for wind, and Richter scales for earthquakes. There is capacity within the framework to add a few more equation like units if a need arises.
  • There are several units where the specific definition differs when used in different domains. The unit rad in the nature of radiation absorbed dose is one such unit as it would conflicts with rad in terms of radians. So rad means radians by default since that is the more common use in electrical engineering. The use of domains in the conversion operations can control this to some extent. For example the 'Nuclear' domain specifies that rad refers to radiation absorbed dose instead of the angle.

Alternatives

If you are looking for compile time and prevention of unit errors in equations for dimensional analysis one of these libraries might work for you.

  • boost units -Zero-overhead dimensional analysis and unit/quantity manipulation and conversion in C++
  • Units -A compile-time, header-only, dimensional analysis library built on C++14 with no dependencies.
  • Units -Another compile time library
  • PhysUnits-CT A C++ library for compile-time dimensional analysis and unit/quantity manipulation and conversion.
  • PhysUnits-RT -A C++ library for run-time dimensional analysis and unit/quantity manipulation and conversion.
  • Libunits -The ultimate shared library to do calculations(!) and conversions with any units! Includes all SI and pseudo SI units and thousands of US, Imperial and other units.
  • unitscpp -A lightweight C++ library for physical calculation with units.
  • mpusz/units -A compile-time enabled Modern C++ library that provides compile-time dimensional analysis and unit/quantity manipulation. This library is in process for standardization in C++23/26.
  • bernedom/SI -A header only C++ library that provides type safety and user defined literals for handling physical values defined in the International System of Units

These libraries will work well if the number of units being dealt with is known at compile time. Many also produce zero overhead operations and checking. Therefore in situations where this is possible other libraries are a preferred alternative.

Reasons to choose this units library over another option

  1. Conversions to and from regular strings are required
  2. The number of units in use is large
  3. A specific single unit or measurement type is required to handle many different kinds of units or measurements
  4. Uncertainties are needed to be included with the measurements
  5. Working with per unit values
  6. Dealing with commodities in addition to regular units. i.e. differentiate between a gallon of water and a gallon of gasoline
  7. Dealing with equation type units
  8. Complete C++ type safety is NOT a critical design requirement.
  9. Support is needed for some funky custom unit with bizarre base units.

Reasons to choose something else

  1. Type safety and dimensional analysis IS a design requirement
  2. Performance is absolutely critical (many other libraries are zero runtime overhead)
  3. You are only working with a small number of known units
  4. You cannot use C++11 yet.
  5. You need to operate on arbitrary or general fractional powers of base units
  6. You need support for arbitrary datum shifts in the unit library

Types

There are only a few types in the library

  • detail::unit_base is the base representation of physical units and powers. It uses a bitfield to store the base unit representation in a 4-byte representation. It is mostly expected that unit_base will not be used in a standalone context but through one of other types.
  • unit is the primary type representing a physical unit it consists of a float multiplier along with a unit_base and contains this within an 8 byte type. The float has an accuracy of around 7 decimal digits. Units within that tolerance will compare equal.
  • precise_unit is the a more accurate type representing a physical unit it consists of a double multiplier along with a unit_base and contains this within an 16 byte type. The double has an accuracy of around 13 decimal digits. Units within that tolerance will compare equal. The remaining 4 bytes are used to contain a commodity object code.
  • measurement is a 16 byte type containing a double value along with a unit and mathematical operations can be performed on it usually producing a new measurement.
  • precise_measurement is similar to measurement except using a double for the quantity and a precise_unit as the units.
  • fixed_measurement is a 16 byte type containing a double value along with a constant unit and mathematical operations can be performed on it usually producing a new measurement. The distinction between fixed_measurement and measurement is that the unit definition of fixed_measurement is constant and any assignments get automatically converted, fixed_measurement's are implicitly convertible to a measurement of the same value type. fixed_measurement also support some operation with pure numbers by assuming a unit that are not allowed on regular measurement types.
  • fixed_precise_measurement is similar to fixed_measurement except it uses precise_unit as a base and uses a double for the measurement instead of a template, and it is 24 bytes instead of 16.
  • uncertain_measurement is similar to measurement except it uses a 32-bit float for the value and contains an uncertainty field which is also 32-bits. Mathematical operations on uncertain_measurements will propagate the uncertainty and convert it as necessary. The class also includes functions for simple-uncertainty propagation like simple_subtract which just sums the uncertainties. The sum-of-squares methods is used in the overloaded math operators. Mathematical operations are supported on the type and it interoperates with measurements.

Unit representation

The unit class consists of a multiplier and a representation of base units. The seven SI units + radians + currency units + count units. In addition a unit has 4 flags, per-unit for per unit or ratio units. One flag[i_flag] that is a representation of imaginary units, one flags for a variety of purposes and to differentiate otherwise similar units[e_flag]. And a flag to indicate an equation unit. Due to the requirement that the base units fit into a 4-byte type the represented powers of the units are limited. The table below shows the bit representation range and observed range of use in equations and observed usage

Base Unit Bits Representable range Normal Range Intermediate Operations
meter 4 [-8,+7] [-4,+4] [-6,+6]
kilogram 3 [-4,+3] [-1,+1] [-2,+2]
second 4 [-8,+7] [-4,+4] [-6,+6]
ampere 3 [-4,+3] [-2,+2]
kelvin 3 [-4,+3] [-4,+1]
mole 2 [-2,+1] [-1,+1]
candela 2 [-2,+1] [-1,+1]
currency 2 [-2,+1] [-1,+1]
count 2 [-2,+1] [-1,+1]
radians 3 [-4,+3] [-2,+2]

These ranges were chosen to represent nearly all physical quantities that could be found in various disciplines we have encountered. See Unit Details for additional details on the unit base representation.

The CMake variable UNITS_BASE_TYPE, if set to a 64-bit type like uint64_t, will double the space requirements but also change the ranges to be at least a power of 4 larger than the above table. See CMake Reference for more details.

Discussion points

  • Currency may seem like a unusual choice in units but numbers involving prices are encountered often enough in various disciplines that it is useful to include as part of a unit.
  • Technically count and radians are not units, they are representations of real things. A radian is a representation of rotation around a circle and is therefore distinct from a true unitless quantity even though there are no physical measurements associated with either.
  • Count and mole are theoretically equivalent though as a practical matter using moles for counts of things is a bit odd for example 1 GB of data is ~1.6605*10^-15 mol of data. They are used in different contexts and don't mix very often, the convert functions do convert between them if necessary.
  • This library CANNOT represent fractional unit powers( except for sqrt Hz used in noise density units), and the library follows the order of operation in C++ so IF you have equations that any portion of the operation may exceed the numerical limits on powers even if the result does not, BE CAREFUL.
  • The normal rules about floating point operations losing precision also apply to unit representations with non-integral multipliers.
  • With string conversions there are many units that can be interpreted in multiple ways. In general, the priority was given to units in more common use in the United States, or in power systems and electrical engineering which was the origin of this library.
  • The unit year has different meanings in different contexts. SI defines the default year as yr=365*day=8760*hr the specific domains define it differently. 'year' means 365.25 days in the UCUM domain and the mean tropical year for the astronomy domain.
  • The i_flag functions such that when squared it goes to 0, similar to the imaginary number i*conj(i)=i^0. This is useful for directional units such as compass directions and reactive power in power systems. The e_flag functions as an or operation in multiplication and xor operation during division.
  • Measurement/unit equality is an interesting topic. The library takes a pragmatic approach vs. a precise mathematical approach. The precision of a float is taken to be roughly 7 decimal digit of precision. A double used in the 'precise' values to be 13 decimal digits of precision. This precision is sufficient to run a few operations without going out of tolerance from floating point operations. It also comes into equality, which is nominally taken to be values and units within this tolerance level. So, numbers are rounded to a certain number of digits then compared to within a tolerance level. Some effort was made to make this uniform, but tolerance around the last digit is not exact. Comparison operators for the units and measurements are provided. Equality and inequality use the rounded comparison; greater and less than are exact, while >= and <= check first for > or < conditions then check for equality if needed. There are a few situations that are not totally consistent like 1.0000001*m==1.0*m and 1.0000001*m>1.0*m, but such is nature of floating point operations. So, from a mathematical purity sense this isn't consistent but does mostly what was needed. If the difference between the two values is a subnormal number the equality comparison also evaluates to true, even if that would otherwise be outside the numerical tolerance.

Defined units

There are 2 sets of defined units, many common units are defined in the units namespace, many others are defined in units::precise and subnamespaces. See Defined Units for details on the available units.

Physics constants

A set of physical and numerical constants are defined in the units::constants namespace. More details and a list of available constants are described in Physical Units. Some of the available constants that are measured vs. defined have an uncertain_measurement version available as well that includes the uncertainty.

Building the library

There are two parts of the library a header only portion that can simply be copied and used. There are 5 headers units_decl.hpp declares the underlying classes. units_util.hpp defines some additional helper functions, unit_defintions.hpp declares constants for many of the units, and units.hpp which is the primary public interface to units,units_math.hpp is an optional extra header that includes additional mathematical operations. If units.hpp is included in another file and the variable UNITS_HEADER_ONLY is defined then none of the functions that require the cpp files are defined. These header files can simply be included in your project and used with no additional building required.

The second part is a few cpp files that can add some additional functionality. The primary additions from the cpp file are an ability to take roots of units and measurements and convert to and from strings. The units_conversion_maps.hpp file defines many of string conversions used in the converters to and from strings. These files can be built as a standalone static library or included in the source code of whatever project want to use them. The code should build with an C++11 or greater compiler. It currently defaults to build with C++14. Most of the library is tagged with constexpr so can be run at compile time to link units that are known at compile time. Unit numerical conversions are not at compile time, so will have a run-time cost. A quick_convert function is available to do simple conversions. with a requirement that the units have the same base and not be an equation unit. The cpp code also includes some functions for commodities and will eventually have r20 and x12 conversions, though this is not complete yet.

It builds by default with the static library. Using UNIT_BUILD_SHARED_LIBRARY or BUILD_SHARED_LIBS will build the shared library instead. Either one can be used with CMake as a units::units target. The header only library target is also generated units::header_only. The shared/static library has a CMake target units::units.

Try it out

If you want to try out the string conversion components. There is server running that can do the string conversions

Unit String Conversions

For more details see the documentation

Converter Application

A converter command line application can be built as part the units library by setting UNITS_BUILD_CONVERTER_APP=ON in the CMake build. This is a simple command line script that takes a measurement entered on the command line and a unit to convert to and returns the new value by itself or part of a string output with the units either simplified or in original form. If you want to run your own converter web server, a docker container is available on dockerhub.

Usage

Many units are defined as constexpr objects and can be used directly

#include "units/units.hpp"
using namespace units

measurement length1=45.0*m;
measurement length2=20.0*m;

measurement area=length1*length2;

std::cout<<"the area is "<<area<< " or "<<area.convert_to(ft.pow(2))<<".\n";

Unit methods

These operations apply to units and precise_units

  • <unit>(<unit_data>) construct from a base unit_data
  • <unit>(<unit_data>, double multiplier) construct a unit from a base data and a multiplier
  • <unit>(double multiplier, <unit>) construct from a multiplier and another unit
  • also available are copy constructor and copy assignments
  • <unit> inv() generate a new unit containing the inverse unit m.inv()= 1/m
  • <unit> pow(int power) take a unit to power(NOTE: beware of limits on power representations of some units, things will always wrap so it is defined but may not produce what you expect). power can be negative.
  • bool is_exactly_the_same(<unit>) compare two units and check for exact equivalence in both the unit_data and the multiplier, NOTE: this uses double equality
  • bool has_same_base(<unit>|<unit_data>) check if the <unit_data> is the same
  • equivalent_non_counting(<unit>|<unit_data>) check if the units are equivalent ignoring the counting bases
  • bool is_convertible(<unit>) check if the units are convertible to each other, currently checks equivalent_non_counting(), but some additional conditions might be allowed in the future to better match convert.
  • int unit_type_count() count the number of unit bases used, (does not take into consideration powers, just if the dimension is used or not.
  • bool is_per_unit() true if the unit has the per_unit flag active
  • bool is_equation() true if the unit has the equation flag active
  • bool has_i_flag() true if the i_flag is marked active
  • bool has_e_flag() true if the e_flag is marked active
  • double multiplier() return the unit multiplier as a double
  • float multiplier_f() return the unit multiplier as a float
  • <float|double> cround() round the multiplier to an appropriate number of digits
  • <unit_data> base_units() get the base units
  • void clear_flags() clear any flags associated with the units

For precise_units only

  • commodity() get the commodity of the unit
  • commodity(int commodity) assign a commodity to the precise_unit.

Unit Operators

There are also several operator overloads that apply to units and precise_units.

  • <unit>=<unit>*<unit> generate a new unit with the units multiplied ie m*m does what you might expect and produces a new unit with m^2

  • <unit>=<unit>/<unit> generate a new unit with the units divided ie m/s does what you might expect and produces a new unit with meters per second. NOTE: m/m will produce 1 it will not automatically produce a pu though we are looking at how to make a 'pu_m*m=m' so units like strain might work smoothly.

  • bool <unit>==<unit> compare two units. this does a rounding compare so there is some tolerance to roughly 7 significant digits for <unit> and 13 significant digits for <precise_unit>.

  • bool <unit>!=<unit> the opposite of ==

precise_units can usually operate with a precise_unit or unit, unit usually can't operate on precise_unit.

Unit free functions

These functions are not class methods but operate on units

  • std::hash<unit>() generate a hash code of a unit, for things like use in std::unordered_map or other purposes.
  • <unit> unit_cast(<unit>) convert a unit into , mainly used to convert a precise_unit into a regular unit.
  • bool is_unit_cast_lossless(<precise_unit>) returns true if the multiplier in a precise_unit can be converted exactly into a float.
  • bool isnan(<unit>) true if the unit multiplier is a NaN.
  • bool isinf(<unit>) true if the unit multiplier is infinite.
  • double quick_convert(<unit>, <unit>) generate the conversion factor between two units. This function is constexpr.
  • double quick_convert(double factor, <unit>, <unit>) convert a specific value from one unit to another, function is constexpr but does not cover all possible conversions.
  • double convert(<unit>, <unit>) generate the conversion factor between two units.
  • double convert(double val, <unit>, <unit>) convert a value from one unit to another.
  • double convert(double val, <unit>, <unit>, double baseValue) do a conversion assuming a particular basevalue for per unit conversions.
  • double convert(double val, <unit>, <unit>, double basePower, double baseVoltage) do a conversion using base units, specifically making assumptions about per unit values in power systems.
  • bool is_error(<unit>) check if the unit is a special error unit.
  • bool is_default(<unit>) check if the unit is a special default unit.
  • bool is_valid(<unit>) check to make sure the unit is not an invalid unit( the multiplier is not a NaN) and the unit_data does not match the defined invalid_unit.
  • bool is_temperature(<unit>) return true if the unit is a temperature unit such as F or C or one of the other temperature units.
  • bool is_normal(<unit>) return true if the multiplier is a normal number, there is some defined unit base, not the identity unit, the multiplier is not negative, and not the default unit. basically a simple way to check if you have some non-special unit that will behave more or less how you expect it to.
  • <unit> root(<unit>, int power) non constexpr, take the root of a unit, produces error unit if the root is not well defined. power can be negative.
  • <unit> sqrt(<unit>) convenience function for taking the sqrt of a unit.

Measurement Operations

  • <measurement>(val, <unit>) construct a unit from a value and unit object.
  • double value() const get the measurement value as a double.
  • <measurement> convert_to(<unit>) const convert the value in the measurement to another unit base
  • <measurement> convert_to_base() const convert to a base unit, i.e. a unit whose multiplier is 1.0
  • <unit> units() const get the units used as a basis for the measurement
  • <unit> as_unit() const take the measurement as is and convert it into a single unit. For Examples say a was 10 m. calling as_unit() on that measurement would produce a unit with a multiplier of 10 and a base of meters.
  • double value_as(<unit>) get the value of a measurement as if it were measured in <unit>

Uncertain measurement methods

Uncertain measurements have a few additional functions to support the uncertainty calculations

  • simple_add, simple_subtract, simple_product, simple_divide are equivalent to the associated operator but use simple uncertainty propagation. simple_product and simple_divide are constexpr when compiled with C++14 or greater. The regular operators use root sum of squares propagation.
  • double uncertainty() get the numerical value of the uncertainty.
  • float uncertainty_f() get the numerical value of the uncertainty as a float.
  • measurement uncertainty_measurement() get the uncertainty as a separate measurement
  • double uncertainty_as(<unit>) get the uncertainty in terms of a particular unit.
  • double fractional_uncertainty() get the uncertainty as a fraction of the value.

Measurement operators

There are several operator overloads which work on measurements or units to produce measurements.

  • '*', '/', '+','-' are all defined for mathematical operations on a measurement and produce another measurement.
  • % *, and / are defined for <measurement><op><double>
  • *, and / are defined for <double><op><measurement>

Notes: for regular measurements, + and - are not defined for doubles due to ambiguity of what that operation means. For fixed_measurement types this is defined as the units are known at construction and cannot change. For fixed_measurement types if the operator would produce a new measurement with the same units it will be a fixed measurement, if not it reverts to a regular measurement.

  • ==, !=, >, <, >=, <= are defined for all measurement comparisons
  • <measurement>=<double>*<unit>
  • <measurement>=<unit>*<double>
  • <measurement>=<unit>/<double>
  • <measurement>=<double>/<unit> basically calling a number multiplied or divided by a <unit> produces a measurement, specifically unit produces a measurement and precise_unit produces a precise_measurement.

Measurement functions

These free functions work on any of different measurement types.

  • measurement measurement_cast(<measurement>) convert a precise_measurement into measurement
  • fixed_measurement measurement_cast(<fixed_measurement>) convert a fixed_precise_measurement or fixed_measurement into a fixed_measurement
  • <measurement> pow(<measurement>, int) generate a measurement which is a specific power of another measurement
  • <measurement> root(<measurement>, int) generate a root of a measurement
  • <measurement> sqrt(<measurement>) take the square root of a measurement of any kind, the units need to have a valid root.
  • bool is_valid(<measurement>) will result in true if the underlying unit is valid and the value is not a nan.
  • bool isnormal(<measurement>) will result in true if the underlying unit is normal and the value is not a nan or infinity or subnormal - zero is allowed in the measurement value, but not the unit multiplier.

Additional math operations

A few additional math operations are available in the "unit_math.hpp" header on all measurement types. This is a header only and is not included by default. It adds math operations including ceil,floor,trunc,round,fmod,sin,cos,tan. The trigonometric operations are only defined for measurements that are convertible to radians. Additionally, three type traits are defined including is_measurement<X>, is_precise_measurement<X> and is_unit<X>. These traits are only true for defined measurement types and unit types respectively.

Available library functions

String Conversions

The flags argument is optional in all cases. If not specified it uses the default flags, which can be user declared at run or compile time.

  • precise_unit unit_from_string( string, flags): convert a string representation of units into a precise_unit value.
  • unit unit_cast_from_string( string, flags): convert a string representation of units into a unit value NOTE: same as previous function except has an included unit cast for convenience.
  • precise_unit default_unit( string): get a unit associated with a particular kind of measurement. for example default_unit("length") would return precise::m
  • precise_measurement measurement_from_string(string,flags): convert a string to a precise_measurement.
  • measurement measurement_cast_from_string(string,flags): convert a string to a measurement calls measurement_from_string and does a measurement_cast.
  • uncertain_measurement uncertain_measurement_from_string(string,flags): convert a string to an uncertain measurement. Typically the string will have some segment with a Β±, +/- or the html equivalent in it to signify the uncertainty. The compact notation for uncertainties is also supported for example 3.5235(19).
  • std::string to_string([unit|measurement],flags) : convert a unit or measurement to a string, all defined units or measurements listed above are supported. The eventual plan is to support a couple different standards for the strings through the flags, But for now they don't do much.

For more description of the possible flags see flags. The default flags can be set through setDefaultFlags(std::uint32_t flags) and retrieved through getDefaultFlags(). The initial default flag is OU but can be modified through UNITS_DEFAULT_MATCH_FLAGS compile flag.

User Defined Units

  • addUserDefinedUnit(std::string name, precise_unit un) add a new unit that can be used in the string operations.
  • clearUserDefinedUnits() remove all user defined units from the library.
  • disableUserDefinedUnits() there is a(likely small-an additional unordered map lookup) performance hit in the string conversions functions if custom units are used so they can be disabled completely if desired.
  • enableUserDefinedUnits() enable the use of UserDefinedUnits. they are enabled by default.
  • addUserDefinedInputUnit(std::string name, precise_unit un) add a new unit used only for unit input
  • addUserDefinedOutputUnit(std::string name, precise_unit un) add an output string for a specific unit
  • removeUserDefinedUnit(std::string name) remove a specific unit string previously added as a userDefinedUnit can be input, output, or both.

For more details see User Defined Units.

Unit Domains

  • setUnitsDomain(std::uint32_t newDomain) : set a default domain to use for string translations if not overridden using the flags argument. The function returns the previous domain if the domain only needs to be set temporarily.

For more description of the Unit Domains supported see Domains. Use the constants available in units::domains as the argument. The numerical value is subject to change in future releases as this gets refined.

Commodities

The units library has some support for commodities, more might be added in the future. Commodities are supported in precise_units.

  • std::uint32_t getCommodity(std::string commodity) get a commodity code from a string.
  • std::string getCommodityName(std::uint32_t) get the name of a commodity from its code
  • addUserDefinedCommodity(std::string name, std::uint32_t code) add a new commodity that can be used in the string operations.
  • clearUserDefinedCommodities() remove all user defined commodities from the library.
  • disableUserDefinedCommodities() there is a (likely small) performance hit in string conversions if custom commodities are used so they can be disabled completely if desired.
  • enableUserDefinedCommodities() enable the use of UserDefinedCommodities. User defined commodities are enabled by default. Defining user specified commodities is thread-safe.

Other unit definitions

These are all only partially implemented, not recommended for use yet

  • precise_unit x12_unit(string) get a unit from an X12 string.
  • precise_unit dod_unit(string) get a unit from a DOD code string.
  • precise_unit r20_unit(string) get a unit from an r20 code string.

Contributions

Contributions are welcome. See Contributing for more details and Contributors for a list of the current and past Contributors to this project.

Project Using the Units Library

Anyone else using the units library? Please let us know.

Release

This units library is distributed under the terms of the BSD-3 clause license. All new contributions must be made under this license. LICENSE

SPDX-License-Identifier: BSD-3-Clause

LLNL-CODE-773786

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Umpire

An application-focused API for memory management on NUMA & GPU architectures
C++
315
star
6

blt

A streamlined CMake build system foundation for developing HPC software
C++
253
star
7

lbann

Livermore Big Artificial Neural Network Toolkit
C++
223
star
8

SAMRAI

Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development
C++
214
star
9

hiop

HPC solver for nonlinear optimization problems
C++
210
star
10

conduit

Simplified Data Exchange for HPC Simulations
C++
207
star
11

libROM

Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
C++
201
star
12

magpie

Magpie contains a number of scripts for running Big Data software in HPC environments, including Hadoop and Spark. There is support for Lustre, Slurm, Moab, Torque. LSF, Flux, and more.
Shell
193
star
13

HPC-Tutorials

Future home of hpc-tutorials.llnl.gov
C
188
star
14

maestrowf

A tool to easily orchestrate general computational workflows both locally and on supercomputers
Python
133
star
15

merlin

Machine Learning for HPC Workflows
Python
121
star
16

serac

Serac is a high order nonlinear thermomechanical simulation code
C++
120
star
17

axom

CS infrastructure components for HPC applications
C++
110
star
18

UnifyFS

UnifyFS: A file system for burst buffers
C
106
star
19

ior

Parallel filesystem I/O benchmark
C
105
star
20

umap

User-space Page Management
C++
104
star
21

CHAI

Copy-hiding array abstraction to automatically migrate data between memory spaces
C++
104
star
22

cowc

Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.
Python
104
star
23

scr

SCR caches checkpoint data in storage on the compute nodes of a Linux cluster to provide a fast, scalable checkpoint / restart capability for MPI codes.
C
99
star
24

LULESH

Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics (LULESH)
C++
97
star
25

msr-safe

Allows safer access to model specific registers (MSRs)
C
92
star
26

RAJAPerf

RAJA Performance Suite
C++
90
star
27

FAST

Fusion models for Atomic and molecular STructures (FAST)
Python
89
star
28

shroud

Shroud: generate Fortran and Python wrappers for C and C++ libraries
C++
87
star
29

MacPatch

Software & Patch management for macOS
Objective-C
85
star
30

Aluminum

High-performance, GPU-aware communication library
C++
84
star
31

mpiP

A light-weight MPI profiler.
C
79
star
32

yorick

yorick interpreted language
C
78
star
33

camp

Compiler agnostic metaprogramming library providing concepts, type operations and tuples for C++ and cuda
C++
78
star
34

fpzip

Lossless compressor of multidimensional floating-point arrays
C++
75
star
35

GOTCHA

GOTCHA is a library for wrapping function calls in shared libraries
C
68
star
36

dataracebench

Data race benchmark suite for evaluating OpenMP correctness tools aimed to detect data races.
C
67
star
37

variorum

Vendor-neutral library for exposing power and performance features across diverse architectures
C++
67
star
38

STAT

STAT - the Stack Trace Analysis Tool
C
63
star
39

lmt

Lustre Monitoring Tools
C
62
star
40

pyranda

A Python driven, Fortran powered Finite Difference solver for arbitrary hyperbolic PDE systems. This is the mini-app for the Miranda code.
Fortran
61
star
41

spheral

C++
60
star
42

Abmarl

Agent Based Modeling and Reinforcement Learning
Python
56
star
43

pylibROM

Python interface for libROM, library for reduced order models
Python
56
star
44

ExaCA

Cellular automata code for alloy nucleation and solidification written with Kokkos
C++
56
star
45

lustre

LLNL's branches of Lustre
C
55
star
46

metall

Persistent memory allocator for data-centric analytics
C++
53
star
47

libmsr

Wrapper library for model-specific registers. APIs cover RAPL, performance counters, clocks and turbo.
C
52
star
48

H5Z-ZFP

A registered ZFP compression plugin for HDF5
C
50
star
49

mpiBench

MPI benchmark to test and measure collective performance
C
50
star
50

cardioid

Cardiac simulation toolkit.
C++
49
star
51

scraper

Python library for getting metadata from source code hosting tools
Python
49
star
52

llnl.github.io

Public home for LLNL software catalog
JavaScript
48
star
53

mttime

Time Domain Moment Tensor Inversion in Python
Python
45
star
54

quandary

Optimal control for open quantum systems
C++
45
star
55

LaSDI

Jupyter Notebook
45
star
56

GridDyn

GridDyn is an open-source power transmission simulation software package
C++
45
star
57

qball

Qball (also known as qb@ll) is a first-principles molecular dynamics code that is used to compute the electronic structure of atoms, molecules, solids, and liquids within the Density Functional Theory (DFT) formalism. It is a fork of the Qbox code by Francois Gygi.
C++
45
star
58

mgmol

MGmol is a scalable O(N) First-Principles Molecular Dynamics code that is capable of performing large-scale electronics structure calculations and molecular dynamics simulations of atomistic systems.
C++
44
star
59

Juqbox.jl

Juqbox.jl solves quantum optimal control problems in closed quantum systems
Julia
42
star
60

ExaConstit

A crystal plasticity FEM code that runs on the GPU
C++
41
star
61

unum

Universal Number Library
C
40
star
62

fastcam

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.
Jupyter Notebook
39
star
63

DJINN

Deep jointly-informed neural networks -- as easy-to-use algorithm for designing/initializing neural nets
Python
39
star
64

CxxPolyFit

A simple library for producing multidimensional polynomial fits for C++
Fortran
37
star
65

cruise

User space POSIX-like file system in main memory
C
35
star
66

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code
C++
35
star
67

UEDGE

2D fluid simulation of plasma and neutrals in magnetic fusion devices
Fortran
34
star
68

wrap

MPI wrapper generator, for writing PMPI tool libraries
Python
34
star
69

acrotensor

A C++ library for computing large scale tensor contractions.
C++
34
star
70

AMPE

Adaptive Mesh Phase-field Evolution
C++
34
star
71

MACSio

A Multi-purpose, Application-Centric, Scalable I/O Proxy Application
C
34
star
72

zero-rk

Zero-order Reaction Kinetics (Zero-RK) is a software package that simulates chemically reacting systems in a computationally efficient manner.
C++
33
star
73

ddcMD

A fully GPU-accelerated molecular dynamics program for the Martini force field
C
33
star
74

GPLaSDI

Python
32
star
75

Quicksilver

A proxy app for the Monte Carlo Transport Code, Mercury. LLNL-CODE-684037
C++
32
star
76

mpibind

Pragmatic, Productive, and Portable Affinity for HPC
C
32
star
77

FPChecker

A dynamic analysis tool to detect floating-point errors in HPC applications.
Python
31
star
78

CallFlow

Visualization tool for analyzing call trees and graphs
Vue
30
star
79

FGPU

Fortran
30
star
80

graphite

A repository for implementing graph network models based on atomic structures.
Jupyter Notebook
30
star
81

ygm

C++
29
star
82

AMG

Algebraic multigrid benchmark
C
28
star
83

gLaSDI

Python
28
star
84

Silo

Mesh and Field I/O Library and Scientific Database
C
28
star
85

CARE

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.
C++
28
star
86

hatchet

Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
JavaScript
28
star
87

burstfs

C
27
star
88

ravel

Ravel MPI trace visualization tool
C++
27
star
89

mpiGraph

MPI benchmark to generate network bandwidth images
Perl
27
star
90

macc

Robust neural network surrogate for inertial confinement fusion
Python
26
star
91

benchpark

An open collaborative repository for reproducible specifications of HPC benchmarks and cross site benchmarking environments
Python
26
star
92

Tribol

Modular interface physics library featuring state-of-the-art contact physics methods.
C++
25
star
93

uberenv

Automates using spack to build and deploy software
Shell
25
star
94

havoqgt

C++
25
star
95

muster

Massively Scalable Clustering
C++
23
star
96

MemAxes

Interactive Visualization of Memory Access Samples
C++
23
star
97

cram

Tool to run many small MPI jobs inside of one large MPI job.
Python
23
star
98

MuyGPyS

A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.
Python
23
star
99

mdtest

Used for testing the metadata performance of a file system
C
23
star
100

SoRa

SoRa uses genetic programming to find mathematical representations from experimental data
Python
23
star