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https://helpcenter.steinberg.de/hc/en-us/articles/115001716324-Cubase-9-5-64-bit-double-precision-audio-processing
Nov 21, 2017 · With Cubase 9.5 we have introduced internal 64-bit processing, also known as "double precision". That is, all channels are being processed and mixed in 64-bit floating point …
https://developer.arm.com/architectures/instruction-sets/floating-point
The Armv8 architecture supports single-precision (32-bit) and double-precision (64-bit) floating-point data types and arithmetic as defined by the IEEE 754 floating-point standard.
https://stackoverflow.com/questions/801117/whats-the-difference-between-a-single-precision-and-double-precision-floating-p
The word double derives from the fact that a double-precision number uses twice as many bits as a regular floating-point number. For example, if a single-precision number requires 32 bits, its double-precision counterpart will be 64 bits long. The extra bits increase not only the precision but also the range of magnitudes that can be represented.
http://www.geeks3d.com/20091014/radeon-hd-5770-has-no-double-precision-floating-point-support/
Oct 14, 2009 · Not cool for OpenCL applications that require double precision in calculations. Radeon HD 5870 and HD 5850 have the double precision floating point processing support as it’s specified HERE and HERE in ATI Stream acceleration technology section. But Radeon HD 5770 and HD 5750 have not this support (see HERE: the double precision is missing).
https://devtalk.nvidia.com/default/topic/995849/does-the-gtx1060-support-double-precision-/
Feb 24, 2017 · But on DP-lite consumer GPUs, it is possible to get 99% of theoretical double-precision performance when that becomes the most severe bottleneck. (2) Most real-life codes, even when classified as floating-point intensive, execute many non-floating-point operations that aren't affected by the disparities between SP and DP throughput.
https://www.intel.com/content/dam/www/programmable/us/en/pdfs/literature/wp/designcon2011-floating-point-design-flow.pdf
between fixed-point processing and single- and double-precision floating-point variables. This level of abstraction provides the opportunity for an automated tool to optimize the RTL generation, including the floating-point synthesis.
https://en.wikipedia.org/wiki/Quadruple-precision_floating-point_format
The DoubleDouble package provides support for double-double computations for the Julia programming language. The doubledouble.py library enables double-double computations in Python. Mathematica supports IEEE quad-precision numbers: 128-bit floating-point values (Real128), and 256-bit complex values (Complex256). [citation needed]
https://en.wikipedia.org/wiki/Double-precision_floating-point_format
Double-precision floating-point format is a computer number format, usually occupying 64 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. Floating point is used to represent fractional values, or when a wider range is needed than is provided by fixed point (of the same bit width), even if at the cost of precision.
https://en.wikipedia.org/wiki/Floating_point
Floating-point expansions are another way to get a greater precision, benefiting from the floating-point hardware: a number is represented as an unevaluated sum of several floating-point numbers. An example is double-double arithmetic, sometimes used for the C type long double. Some simple rational numbers (e.g., 1/3 and 1/10) cannot be represented exactly in binary floating point, no matter what …
https://en.wikipedia.org/wiki/FLOPS
This standard defines the format for 32-bit numbers called single precision, as well as 64-bit numbers called double precision and longer numbers called extended precision (used for intermediate results). Floating-point representations can support a much wider range of values than fixed-point, with the ability to represent very small numbers and very large numbers.
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