This is an interview John Moore held with Hartmut Kaiser, the lead of the STE||AR group at CCT. Source: Intelligence in Software.

Scientific application developers have masses of computing power at their disposal with today’s crop of high-end machines and clusters. The trick, however, is harnessing that power effectively. Earlier this year, Louisiana State University’s Center for Computation & Technology (CCT) released its approach to the problem: an open-source runtime system implementation of the ParalleX execution model. ParalleX aims to replace, at least for some types of applications, the Communicating Sequential Processes (CSP) model and the well-established Message Passing Interface (MPI), a programming model for high-performance computing. The runtime system, dubbed High Performance ParalleX (HPX) is a library of C++ functions that targets parallel computing architectures. Hartmut Kaiser — lead of CCT’s Systems Technology, Emergent Parallelism, and Algorithm Research (STE||AR) group and adjunct associate research professor of the Department of Computer Science at LSU — recently discussed ParalleX with Intelligence in Software. Continue reading →