Parallel and High-Performance Computing

The research group Parallel and High-Performance Computing focuses on algorithms, tools, and applications for scalable high-performance computer systems.

Research topics include high-performance and portable linear algebra kernels and LAPACK- and ScaLAPACK-style algorithms for blocked and scalable matrix computations.

Projects

Hierarchically Blocked Algorithms and Optimized Low-Level Kernels for Dense Matrix Computations on Memory-Tiered High-Performance Computing Systems


Page Editor: Frank Drewes

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