TAO (The ACE ORB) is an advanced, CORBA-compliant, real-time Object Request Broker (ORB). It is designed to meet the stringent Quality of Service (QoS) requirements of real-time applications, resulting in superior end-to-end predictability, efficiency, and scalable performance. It implements the latest CORBA specifications from the OMG. It is built with components from the ADAPTIVE Communication Environment (ACE) C++ framework, resulting in a highly extensible architecture, adaptability to a wide variety of situations, and portability across a broad range of platforms. Although TAO was designed to meet the demanding requirements of real-time applications, it is also well-suited for general-purpose CORBA applications.
FTimes is a system baselining and evidence collection tool. Its primary purpose is to gather and/or develop topographical information and attributes about specified directories and files in a manner conducive to intrusion and forensic analysis. It was designed to support the following initiatives: content integrity monitoring, incident response, intrusion analysis, and computer forensics.
CMake is a cross-platform, open-source build system. It is used to control the software compilation process using simple platform and compiler independent configuration files. It generates native makefiles and workspaces that can be used in the compiler environment of your choice. CMake is quite sophisticated: it is possible to support complex environments requiring system configuration, pre-processor generation, and code generation.
The PEAK library tries to achieve high performance in combining multi-threading with an efficient I/O event model. You can write event-based applications that use massive sockets I/O, timers, and signals. Its underlying I/O multiplexing engine supports kqueue(2) (FreeBSD, NetBSD, and Mac OS X), epoll(2) (Linux 2.6), and /dev/poll (Solaris). It provides support for optimized memory allocations, basic database primitives, and synchronization.
hwloc provides command line tools and a C API to obtain the hierarchical map of key computing elements, such as: NUMA memory nodes, shared caches, processor sockets, processor cores, and processor "threads". hwloc also gathers various attributes such as cache and memory information, and is portable across a variety of different operating systems and platforms. hwloc primarily aims at helping high-performance computing (HPC) applications, but is also applicable to any project seeking to exploit code and/or data locality on modern computing platforms.