Search Results for "static code analysis"
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Showing 6 open source projects for "static code analysis"
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LinAsm
Collection of fast and optimized assembly libraries for x86-64 Linux
LinAsm is collection of very fast and SIMD optimized assembly written libraries for x86-64 Linux. It implements many common and widely used algorithms for array manipulations: searching, sorting, arithmetic and vector operations, unit conversions; fast mathematical and statistic functions; numbers and time converting algorithms; finite impulse response (FIR) digital filters; spectrum analysis algorithms, Fast Hartley transformation; CPU cache friendly functions and extremely fast abstract... -
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GXSM
Scanning Probe Microscopy Controller and Data Visualization Software
GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports a commercially available DSP hardware and provided also Open Source Code for all the low level signal processing tasks and instrument controls in a most flexible and adaptable manner. ... -
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This project aims to develop a prototype system that explores how we should re-invision computer system design based on changes in how people get the software that they run, as well as advances in static analysis of software.
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This software is the going to be used in a small office refrigerator to controll the thermostat. Currently the code is written for the PIC16F84 in assembler. The code is fully compilable in MPLAB.
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This is a simple library for parsing & compiling mathematical formulas (also with variables). Compiled ones are stored in machine code in memory and are ready for fast calculations (for example integral calculations, function plotting and analysis).
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Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.
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