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Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program.
The BMDFM dynamic scheduling subsystem performs a...
The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
The Jikes Research VirtualMachine (RVM) is designed to execute Java(TM) programs that are typically used in research on fundamental virtualmachine design issues.
OpenPoplog is a multi-language, incrementally-compiled virtualmachine-based development environment with its own extensive teaching and support material, supporting the languages Pop-11, Prolog, Common Lisp and ML on Unix, VMS, Linux and Windows.
Real time micro benchmark multi-lingual suite (RTMB) provides a good way to measure the deterministic quality of hardware, an operating system, or a Java VirtualMachine. RTMB consists of benchmarks in C, C++ and Java
cdpr is used to decode a Cisco Disovery Protocol (CDP) packet, by default it will report the device ID, the IP Address (of the device), and the port number that the machine is connected to. Optionally it will decode the entire CDP packet.
OpenSiteSearch is the new Open Source version of OCLC's original java-based web application for building Z39.50 portals (i.e. virtual union catalogues). This project is specifically aimed at the library community.
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".
OSU SVM is a Support Vector Machine (SVM) toolbox for the MATLAB numerical environment. The toolbox is used to create models for regression and classification using support vector machines.