FastFlow is a pattern-based programming framework targeting streaming applications. It implements pipeline, farm, divide and conquer, and their composition, as well as generic streaming networks. It is specifically designed to support the development and the seamless porting of existing applications on multi-core, GPGPUs, and clusters of them. The layered template-based C++ design ensures flexibility and extendibility. Its lock-free/fence-free run-time support minimizes cache invalidation traffic and enforces the development of high-performance (high-throughput, low-latency) scalable applications. It has been proven comparable or faster than TBB, OpenMP, and Cilk on several micro-benchmarcks and real-world applications, especially when dealing with fine-grained parallelism and high-throughput applications.
GCPtr is a C++ smart pointer library with garbage collection. It defines a class of smart pointers which can be used to create and manage dynamic objects and arrays which are destroyed and freed by garbage collection when they are no longer referenced. These smart pointers are not based on reference counting. Garbage collection uses a mark-and-sweep algorithm.
KaHIP - Karlsruhe High Quality Partitioning - is a family of graph partitioning programs that tackle the balanced graph partitioning problem. It focuses on solution quality and implements flow-based methods, more-localized local searches, and several parallel and sequential meta-heuristics.
libpetey is a small scientific/numerical computation library. It includes the following components: templated sorting routines; templated binary tree classes; a templated linked-list class; routines for finding the k-least and k-greatest elements in an array; "supernewton", a one-dimensional root-finding algorithm based on cubic interpolation; a class for working with dates and times; a function for easy parsing of command line options; datasets (the beginnings of a data-representation paradigm that generalizes matrices but is mainly useful for n-dimensional linear interpolation); and sparse matrix library including command-line utilities for sparse matrix multiplication and eigenvalue decomposition as well as a sparse matrix calculator.
The libQtCassandra library is an advanced C++ library used to access Cassandra servers. Unlike the basic Cassadra server interface, this C++ library provides separate objects that handle each level of the server data, i.e. the cluster, contexts, table, rows, and cells. It uses Qt and the Qt style for all the classes, which makes it very easy to use if you already know Qt.