Search Results for "low level"

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. We actively develop Codon...

...Odin has been designed for readability, scalability, and orthogonality of concepts. Simplicity is complicated to get right, clear is better than clever. Odin allows for the highest performance through low-level control over the memory layout, memory management, custom allocators and so much more. Odin is designed from the bottom up for the modern computer, with built-in support for SOA data types, array programming, and other features. We go into programming because we love to solve problems. Why shouldn't our tools bring us joy whilst doing it? ...

ALCHA aims to reduce FPGA project develop time by means of automation and abstraction, but without loosing the low-level control that HDLs, such as Verilog, provides. It will support an object oriented programming model, abstract data and signal types, and compile-time scripting.

The Memory Layout Specification Tool (MLST) is a file specification and a collection of tools for conveying the contents of a memory map. MLST can take an appropriately formatted specification and create both a representation of the memory map for a assembler and documentation from the input file.

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.

FPGAsm is a low-level alternative to verilog and VHDL. A near-instant 'assembler for FPGAs', this simple yet powerful language facilitates bottom-up design, layout and wiring of modules, and generation of .xdl output. With about 10 keywords to learn, you can start making circuits in minutes. Now you can focus on learning the ins and outs of the FPGA instead of complex tools and languages.

The MultiLevel Compiler allows mixing of High- and Low- level features in a single programming language while using a simplistic syntax.

LLVM is a unique compiler infrastructure designed for the optimization of programs from arbitrary programming languages. Compilation in C and C++ programs is supported using a parser based on GCC 3.4. Backends exist for X86, Sparc, PowerPC and "C".