Search Results for "fixed point"

The fast_float library provides fast header-only implementations for the C++ from_chars functions for float and double types as well as integer types. These functions convert ASCII strings representing decimal values (e.g., 1.3e10) into binary types. We provide exact rounding (including round to even). In our experience, these fast_float functions many times faster than comparable number-parsing functions from existing C++ standard libraries. It parses the character sequence [first,last) for...

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Yocto/GL is a collection of small C++17 libraries for building physically-based graphics algorithms released under the MIT license. Yocto/GL is written in a deliberately data-oriented style for ease of development and use. Yocto/GL is split into small libraries to make code navigation easier. See each header file for documentation. Simple shape data structure, utilities for manipulating triangle meshes, quads meshes and line sets, computation of normals and tangents, linear and Catmull-Clark...

...The trained models can be loaded onto edge devices such as IoT devices/sensors, and used to make fast and accurate predictions completely offline. A tool that adapts models trained by above algorithms to be inferred by fixed point arithmetic.

This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. It also demonstrates how to include large chunks of assembler inline with C/C++ thus avoiding ABI issues between platforms.

MathX is a fixed-length arithmetic-types written in pure c++ templates. The goal is to provide signed-integer, unsigned-integer, IEEE-754 float-point and fixed-point types, all with specific number of bits. To this moment, only signed-integer and unsigned-integer are completed for little-endain architecture. Any compiler that support c++03 or c++11 can successfully compile MathX.

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. ...

Digital Signal Processing Block Diagram Compiler - user extendable to all DSP's, but presently supports only the TI C2000 family. Rich support for fixed point arithmetic, both saturated and unsaturated. Block diagram entry is via TinyCAD (included).

a simple software implemented FPU. only 32bit precision is supported and the operation result is not accurate as modern FPUs, but it is light and compact. (uses simple 32bit integer operations only, good for machines that has no hardware FPU.)

.... === Performance === Running on Windows XP on an Intel Core i3 530 (3.4 GHz): * Putpixel - 31 million per second * Rectangle fill - 11 billion pixels per second * Text render - 11 million characters per second (8 point, fixed width font)