Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag):

J. Träff:
"Decomposing MPI Collectives for Exploiting Multi-lane Communication";
Vortrag: SPCL_Bcast, ETH Zürich - Online, Zurich, Switzerland (eingeladen); 03.12.2020.

Kurzfassung englisch:
Many modern, high-performance systems increase the cumulated node-bandwidth by offering more than a single communication network and/or by having multiple connections to the network, such that a single processor-core cannot by itself saturate the off-node bandwidth. Efficient algorithms and implementations for collective operations as found in, e.g., MPI, must be explicitly designed for exploiting such multi-lane capabilities. We are interested in gauging to which extent this might be the case.
In the talk, I will illustrate how we systematically decompose the MPI collectives into similar operations that can execute concurrently on and exploit multiple network lanes. Our decomposition is applicable to all standard, regular MPI collectives, and our implementations' performance can be readily compared to the native collectives of any given MPI library. Contrary to expectation, our full-lane, performance guideline implementations in many cases show surprising performance improvements with different MPI libraries on different systems, indicating severe problems with native MPI library implementations. In many cases, our full-lane implementations are large factors faster than the corresponding library MPI collectives. The results indicate considerable room for improvement of the MPI collectives in current MPI libraries including a more efficient use of multi-lane capabilities.

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.