Software

Some software is known for being able to use StarPU to tackle heterogeneous architectures, here is a non-exhaustive list (feel free to ask to be added to the list!):

• AL4SAN, dense linear algebra library
• Chameleon, dense linear algebra library
• Exa2pro, Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems
• ExaGeoStat, Machine learning framework for Climate/Weather prediction applications
• FLUSEPA, Navier-Stokes Solver for Unsteady Problems with Bodies in Relative Motion
• HiCMA, Low-rank general linear algebra library
• hmat, hierarchical matrix C/C++ library
• HPSM, a C++ API for parallel loops programs supporting muti-CPUs and multi-GPUs
• K’Star, OpenMP 4 - compatible interface on top of StarPU.
• KSVD, dense SVD on distributed-memory manycore systems
• MAGMA, dense linear algebra library, starting from version 1.1
• MaPHyS, Massively Parallel Hybrid Solver
• MASA-StarPU, Parallel Sequence Comparison
• MOAO, HPC framework for computational astronomy, servicing the European Extremely Large Telescope and the Japanese Subaru Telescope
• NNTile, a framework for training large neural networks.
• PaStiX, sparse linear algebra library, starting from version 5.2.1
• PEPPHER, Performance Portability and Programmability for Heterogeneous Many-core Architectures
• QDWH, QR-based Dynamically Weighted Halley
• QMCkl, Quantum Monte Carlo Kernel Library
• qr_mumps, sparse linear algebra library
• ScalFMM, N-body interaction simulation using the Fast Multipole Method.
• SCHNAPS, Solver for Conservative Hyperbolic Non-linear systems Applied to PlasmaS.
• SignalPU, a Dataflow-Graph-specific programming model.
• SkePU, a skeleton programming framework.
• StarNEig, a dense nonsymmetric (generalized) eigenvalue solving library.
• STARS-H, HPC low-rank matrix market
• XcalableMP, Directive-based language eXtension for Scalable and performance-aware Parallel Programming

You can find here the list of publications related to applications using StarPU.