About Wajih Halim Boukaram Wajih Halim Boukaram Ph.D. Student, Computer Science kblas hierarchical matrices High Performance Computing GPU Computing batched linear algebra Wajih Halim Boukaram is a PhD candidate in Computer Science. He is studying under the supervision of Professor David E. Keyes. Articles Related News September 2020 H2Opus: a Performance-Oriented Library for Hierarchical Matrices 1 min read · Wed, Sep 16 2020 News GPU Computing High Performance Computing numerical linear algebra H2Opus: a Performance-Oriented Library for Hierarchical Matrices Download at https://github.com/ecrc/h2opus. Experience our latest HPC software release that implements H 2-Matrix operations on shared-memory systems, possibly equipped with GPU hardware accelerators. The prime target applications for H2Opus are PDE-constrained optimizations. The features of H2Opus include: Generation of matrix structure from a point set and admissibility condition, Construction of a hierarchical matrix given a kernel function, Matrix-vector and matrix-multiple-vector multiplication, Basis orthogonalization
H2Opus: a Performance-Oriented Library for Hierarchical Matrices 1 min read · Wed, Sep 16 2020 News GPU Computing High Performance Computing numerical linear algebra H2Opus: a Performance-Oriented Library for Hierarchical Matrices Download at https://github.com/ecrc/h2opus. Experience our latest HPC software release that implements H 2-Matrix operations on shared-memory systems, possibly equipped with GPU hardware accelerators. The prime target applications for H2Opus are PDE-constrained optimizations. The features of H2Opus include: Generation of matrix structure from a point set and admissibility condition, Construction of a hierarchical matrix given a kernel function, Matrix-vector and matrix-multiple-vector multiplication, Basis orthogonalization
Related Sites Hierarchical Computations on Manycore Architectures (HiCMA) Computer Science (CS) Related Content Articles 1 Related Links Also view Publications in the KAUST Repository.
