Search Results for "z-image"

...Typically the goal is to reduce latency on your machine; for example, you could load the packages and compile the functions used in common plotting workflows using that saved image by default. In general, sysimages are not relocatable to other machines; they'll only work on the machine they were created on.

...GnuCOBOL translates COBOL into C and internally compiles the translated code using a native C compiler. Build COBOL programs on various platforms, including GNU/Linux, Unix, Mac OS X, and Microsoft Windows. GnuCOBOL has also been built on HP/UX, z/OS, SPARC, RS6000, AS/400, along with other combinations of machines and operating systems. Copyright 2001-2024 Free Software Foundation, Inc. The cobc compiler is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the FSF; either version 3, or (at your option) any later version. ...

The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is...

directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph

THIS REPOSITORY IS DEPRECATED. Please use the Heptapod repository instead: https://foss.heptapod.net/zilf/zilf ZILF is a set of tools for working with the ZIL interactive fiction language, including a compiler, assembler, disassembler, and game library.

pyz80 is a z80 cross-assembler written entirely in Python. It accepts text files with the syntax of the Sam Coupe's popular COMET assembler, and outputs a disk image suitable for loading in SimCoupe or transferring to floppy disk for use with a real Sam.

HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.

XIPL/XASM is a basic environment to build high-level Image Processing operations using a XML-based language. The idea is to compile the high-level XIPL language into a low-level one, XASM (XML-based too), using XSLT technology.