Parallel Colt is a set of multithreaded version of Colt. It is a collection of open-source libraries for High Performance Scientific and Technical Computing written in Java. It contains all the original capabilities of Colt and adds several new ones, with a focus on multi-threaded algorithms.
Capabilities Parallel Colt has all the capabilities of the original Colt library, with the following additions.
Multithreading Specialized Matrix data structures JPlasma Java port of PLASMA (Parallel Linear Algebra for Scalable Multi-core Architectures). CSparseJ CSparseJ is a Java port of CSparse (a Concise Sparse matrix package). Netlib-java Netlib is a collection of mission-critical software components for linear algebra systems (i.e. working with vectors or matrices). Solvers and preconditioners Mostly adapted from Matrix Toolkit Java Nonlinear Optimization Java translations of the 1-dimensional minimization routine from the MINPACK Matrix reader/writer All classes that use floating-point arithmetic are implemented in single and double precision. Parallel quicksort algorithm
Usage example Example of singular value decomposition (SVD): DenseDoubleAlgebra alg = new DenseDoubleAlgebra(); DenseDoubleSingularValueDecomposition s = alg.svd(matA);
DoubleMatrix2D U = s.getU(); DoubleMatrix2D S = s.getS(); DoubleMatrix2D V = s.getV();
Example of matrix multiplication: DenseDoubleAlgebra alg = new DenseDoubleAlgebra(); DoubleMatrix2D result = alg.mult(matA,matB);
See also List of open-source mathematical libraries
References