Efficient Performance of Parallel Cholesky Factorization Using Multi-Core System

Modern processors have multiple cores, making multiprocessing essential for competitive linear algebra. Cholesky factorization considers one of the most essential linear algebra systems. This paper focused on a Cholesky factorization, as well as, apply the proposed technique to other problems in linear algebra. Theuse of the SCHEDULE package helps to introduce parallelism in a transportable way. High performances are obtained when the program is running by C++ with Open MP library on an Intel Core-i7-3770 quad-core processor of 3.40GHz and main memory of 8GB.