Search Results for "integer"

...The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently.

...Point to servers like fujinet.pl and boot immediately—no downloads required. Qt 6 Modernization: Replaces legacy Qt 4/5 code. Features a crisp, responsive UI with proper 4K scaling and restored drag-and-drop. Large Drive Support: Fixed integer overflows to reliably support 16MB+ Hard Disk Images (65,535 sectors). Enhanced Stability: Rock-solid Linux serial timing (no more "NAK" errors) and improved "Happy" drive emulation. Embedded Firmware: Essential boot firmware (MyDOS, Atari DOS) is built-in.

Experix is a command-line driven environment for laboratory data acquisition and device control and graphical presentation and analysis of data. Written in C for GNU-Linux . Tested on PC and Raspberry Pi. The core is written very generally in order to support applications by means of script files. Device interfaces: PCMCIA daq (2 devices tested) via kernel module with interrupt handler and memory-mapped data; USB daq (1 device tested) using libusbx; running an equipment servicing program...

This is a branch of acarsdec where most FPU intensive ops have been replaced with integer only counterparts. The light version of acarsdec works on machines as weak as PogoPlug. Please feel free to comment, A version where PLL section of MSK demodulator is also integer has been added on April 6, 2016.

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.