HPX and DLA Future

Posted on Thursday, Jul 22, 2021
Rob and Jason are joined by Hartmut Kaiser and Mikael Simberg. They first discuss some blog posts on returning multiple values from a function and C++ Ranges. Then they talk to Hartmut Kaiser and Mikael Simberg on the latest version of HPX, how easy it is to gain performance improvements with HPX, and DLA Futures, the Distributed Linear Algebra library built using HPX.

Guests

Hartmut Kaiser

Hartmut Kaiser

Hartmut is a faculty member at the CS and EE departments at Louisiana State University (LSU) and a senior research scientist at LSU’s Center for Computation and Technology (CCT). He is probably best known through his involvement in open source software projects, such as being the author of several C++ libraries he has contributed to Boost, which are in use by thousands of developers worldwide. His current research is focused on leading the STE||AR group at CCT working on the practical design and implementation of future execution models and programming methods. These things are tried out and tested using the HPX – A C++ Standard library for Concurrency and Parallelism. Hartmut’s goal is to enable the creation of a new generation of scientific applications in powerful, though complex environments, such as high performance and distributed computing, spatial information systems, and compiler technologies.

Mikael Simberg

Mikael Simberg

Mikael works at the Swiss National Supercomputing Centre (CSCS) as a scientific software developer. He has a degree in operations research and computer science. He worked in industry doing embedded programming before joining CSCS in 2017. At CSCS he works on improving HPX itself and helps users integrate it into their libraries and applications.


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