Parallel Colt
{{Infobox software
| author = Piotr Wendykier
| operating system = Cross-platform
| latest_release_version = 0.9.4
| latest_release_date = {{release date|2010|03|21}}
| genre = Library
| license = Various
| website = {{url|https://sites.google.com/site/piotrwendykier/software/parallelcolt}}
}}
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);