pitts - v0.9.6

New features and improvements: * Improved support for complex-valued calculations (TSQR algorithm) * Julia binding for basic data types and for the TSQR algorithm * detect CPU cache sizes using likwid * TT-AMEn+ALS variant for solving linear systems in TT format * More micro benchmarks and benchmarking results * improved performance of various building blocks

- C++
Published by melven over 1 year ago

pitts - v0.9.5

New features and improvements: * Tensor-Train operators (aka a matrix where a normal tensor-train is interpreted as a vector) * Solvers for linear systems (TT-GMRES, TT-MALS, TT-AMEn) * ITensor interface * support for transforming to the QTT (quantized tensor-train format) * more Multivector operations * improved performance of various building blocks * Q-less tall-skinny QR * optimized tensor-train addition * avoid copying data through view interfaces and C++ move variants for folding/unfolding 2d into a 3d tensors and vice versa * optimized contraction sequences for tensor-train-operator times dense tensor

- C++
Published by melven over 2 years ago

pitts -

Bug-fixes and minor performance improvements and lots of updated benchmarking results/scripts...

- C++
Published by melven over 4 years ago

pitts -

Initial Release

Features: * C++ header-only classes for tensor-train arithmetic (for multi-core CPUs using OpenMP) * Fast hybrid-parallel TT-SVD algorithm based on a Q-less TSQR (for multi-core CPU clusters using OpenMP+MPI) * Simple quantum computer simulator for generic two-qubit quantum gates * Python bindings compatible with numpy * Examples for tensor-train solvers for linear system (GMRES) and eigenvalue problems (Jacobi Davidson)

- C++
Published by melven over 4 years ago