brunowu Goto Github PK
Name: Xinzhe WU
Type: User
Company: Jülich Supercomputing Centre
Bio: Scientific Researcher in HPC and numerical linear algebra
Location: Germany
Name: Xinzhe WU
Type: User
Company: Jülich Supercomputing Centre
Bio: Scientific Researcher in HPC and numerical linear algebra
Location: Germany
Block GMRES using Kokkos
BlockMatGen
无它术,唯勤读书而多为之,自工
My personal webpage: https://brunowu.github.io
This repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contribute as developer to this project please contact [email protected].
CholeskyQR2 with Gram-Schmidt orthogonalization for extremely ill-conditioned matrices
Parallel multi-CPU/GPU(CUDA)-implementation of the Implicitly Restarted Arnoldi Method
a dense matrix generator with give spectrum
Eigenvalues known dense matrix generator (Parallel version based on MPI and PETSc library)
Practical exercises for HOW Series "Deep Dive", a Web-based training on parallel programming and performance optimization
Information about many aspects of high-performance computing. There is content in the Wiki.
Materials for the course "High Performance Matrix Computation" in RWTH Aachen University
hpx + mpi
The JUBE benchmarking environment provides a script based framework to easily create benchmark sets, run those sets on different computer systems and evaluate the results. It is actively developed by the Jülich Supercomputing Centre of Forschungszentrum Jülich, Germany.
Krylov methods implementation in XcalableMP
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Simple and fast Julia implementation of Krylov subspace methods for linear systems.
different version of laplace method: MPI, OpenMP, OpenACC and MPI+OpenACC, challenge in summer school IHPCSS2017 http://www.ihpcss.org
A Julia wrapper of the l-bfgs-b fortran library
Examples for 10ième Journée LoOPS
Unite and Conquer Multiple GMRES/ERAM LS method implemented with MPI Spawn
parallel matrix generators
Matrix Market type to Petsc support binary type
Monte Carlo learning notes of @brunowu, @holyseven and @maximewp
Contains sources related to the lectures and labs for the NVIDIA OpenACC course.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.