• # Sollya

• Referenced in 11 articles [sw09849]
• tool-chain for fixed- and floating-point software and hardware design. Its features include ... approximation algorithms and extensive support for floating-point code generation...
• # Cg

• Referenced in 32 articles [sw14154]
• real-time graphics architectures include programmable floating-point vertex and fragment processors, with support ... that it is a hardware-oriented, general-purpose language, rather than an application-specific shading...
• # GPGPU

• Referenced in 20 articles [sw09105]
• GPGPU: general-purpose computation on graphics hardware. The graphics processor (GPU) on today’s commodity ... IEEE floating point precision. High-level languages have emerged for graphics hardware, making this computational...
• # CAMPARY

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

• 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...
• # VFloat

• Referenced in 1 article [sw33310]
• Variable Precision Fixed- and Floating-Point Library for Reconfigurable Hardware. Optimal reconfigurable hardware implementations ... require the use of arbitrary floating-point formats that do not necessarily conform to IEEE ... Most previously published floating-point formats for use with reconfigurable hardware are subsets ... hardware modules for format control, arithmetic operations, and conversions between fixed-point and floating-point...
• # FloatX

• Referenced in 1 article [sw33682]
• investigate the effect of leveraging customized floating-point formats in numerical applications. FloatX formats ... code, relies on hardware-supported floating-point types as back-end to preserve efficiency...
• # DecFP

• Referenced in 1 article [sw33661]
• decimal floating-point types Dec32, Dec64, and Dec128, respectively, are provided. This is very different ... about 100x slower than the hardware binary floating-point 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 floating-point instructions than that required by the standard...
• # BEAGLE

• Referenced in 6 articles [sw12586]
• opportunity to leverage their excellent floating-point 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 floating-point 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 ... hardware-independent 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...
• # CLBlast

• Referenced in 1 article [sw20249]
• specific hardware platforms, 3) it can perform operations in half-precision floating-point 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...