
RealLib
 Referenced in 14 articles
[sw01977]
 performance close to the performance of hardware floating point for problems that do not require...

Sollya
 Referenced in 11 articles
[sw09849]
 toolchain for fixed and floatingpoint software and hardware design. Its features include ... approximation algorithms and extensive support for floatingpoint code generation...

Cg
 Referenced in 32 articles
[sw14154]
 realtime graphics architectures include programmable floatingpoint vertex and fragment processors, with support ... that it is a hardwareoriented, generalpurpose language, rather than an applicationspecific shading...

GPGPU
 Referenced in 20 articles
[sw09105]
 GPGPU: generalpurpose computation on graphics hardware. The graphics processor (GPU) on today’s commodity ... IEEE floating point precision. Highlevel languages have emerged for graphics hardware, making this computational...

CAMPARY
 Referenced in 5 articles
[sw15156]
 Graphics Processing Units (GPUs). Usually, either floatingpoint single or double precision arithmetic is used ... develop CAMPARY: a multipleprecision floatingpoint arithmetic library using the CUDA programming language ... several standard machine precision floatingpoint numbers. We make use of errorfree transforms addition ... offers the simplicity of using hardware highly optimized floatingpoint operations, while also allowing...

evalhf
 Referenced in 3 articles
[sw14237]
 evalhf  evaluate an expression using hardware floatingpoint...

CppAD
 Referenced in 37 articles
[sw04866]
 often essential. Applications include parametric optimization, saddle point problems, Benders decompositions, and multilevel optimization ... included to aid testing with other hardware and compilers, other AD packages, as well ... coding numerical routines where the floating point type is a C++ template parameter...

PSIM
 Referenced in 7 articles
[sw06601]
 code generation for hardware boards that use TI’s F28335 floatingpoint DSP... MagCoupler Module...

VFloat
 Referenced in 1 article
[sw33310]
 Variable Precision Fixed and FloatingPoint Library for Reconfigurable Hardware. Optimal reconfigurable hardware implementations ... require the use of arbitrary floatingpoint formats that do not necessarily conform to IEEE ... Most previously published floatingpoint formats for use with reconfigurable hardware are subsets ... hardware modules for format control, arithmetic operations, and conversions between fixedpoint and floatingpoint...

FloatX
 Referenced in 1 article
[sw33682]
 investigate the effect of leveraging customized floatingpoint formats in numerical applications. FloatX formats ... code, relies on hardwaresupported floatingpoint types as backend to preserve efficiency...

DecFP
 Referenced in 1 article
[sw33661]
 decimal floatingpoint types Dec32, Dec64, and Dec128, respectively, are provided. This is very different ... about 100x slower than the hardware binary floatingpoint types Float32 and Float64) and more...

CholQR
 Referenced in 12 articles
[sw13049]
 then study its performance. When the target hardware does not support the desired higher precision ... CholQR requires about $8.5 imes$ more floatingpoint instructions than that required by the standard...

BEAGLE
 Referenced in 6 articles
[sw12586]
 opportunity to leverage their excellent floatingpoint computational performance to accelerate statistical phylogenetic inference ... make more effective use of available computer hardware, including GPUs. Adoption of a common library...

doubledouble
 Referenced in 6 articles
[sw24984]
 which implements approximately 30 decimal place floating point arithmetic. This code does NOT use multiple ... times slowdown compared to double precision. Hardware strictly conforming to IEEE 754 is essential, though...

Algorithm 908
 Referenced in 6 articles
[sw20215]
 exact summation of a stream of floatingpoint numbers. By “online” we mean that ... requiring significantly fewer FLOPs could exist without hardware improvements. An application for a large number...

Inastemp
 Referenced in 1 article
[sw36269]
 optimized computational kernels to benefit from modern hardware. In recent years, vectorization has gained ... clock frequencies. In particular, vectorization allows floating point operations to be performed at a higher ... hardwareindependent computational kernels for the CPU. These kernels are portable across compilers and floating ... point precision and vectorized targeting SSE(3,4.1,4.2), AVX(2), AVX512, or ALTIVEC/VMX instructions...

Libpsht
 Referenced in 1 article
[sw29739]
 take advantage of hardware features like multiple processor cores and floatingpoint vector operations...

CLBlast
 Referenced in 1 article
[sw20249]
 specific hardware platforms, 3) it can perform operations in halfprecision floatingpoint FP16 saving ... cases on a wide variety of OpenCL hardware...

GNU Fortran
 Referenced in 5 articles
[sw00959]
 important role in encouraging the development of hardware support for interval arithmetic. This paper describes ... platforms that support the IEEE 754 floating point standard...

STELLA
 Referenced in 3 articles
[sw29069]
 grids. Due to the disparity between floating point operation throughput and main memory bandwidth these ... Unfortunately, stencil computation optimization techniques are often hardware dependent and lead to a significant increase...