Parallel Multiple Polynomial Quadratic Sieve on Multi-Core Architectures

The ability of multi-core processors to increase application performance depends on the use of multiple threads within applications. Symbolic computations, requiring both CPU power and large memory, are well-suited candidates for deriving advantages from multi-core parallel architectures. This is possible only if the specific libraries and tools are designed to allow multi-threading and multi-processes. In order to promote the changes needed to adapt these libraries and tools to the new architectures, the changes performed of a main algorithm for symbolic computations, parallel integer factorization, is described and discussed.