COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Cavendish Astrophysics Seminars > Global Parallel Computation, Networks and Geometry
Global Parallel Computation, Networks and GeometryAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Greg Willatt. We discuss implementations of distributed algorithms for a broad family of linear algebra problems which lead to perfect load balancing of data movement, storage and computation. The algorithms were likely first discovered by Karmarkar in the 1990’s leveraging finite projective geometries. From this approach, network topologies emerge which exhibit resilience, very low diameters and high cross sectional bandwidth. A few studies of these algorithms in software have shown significant speedup over current practice, subject to proper locality of ingest data. Silicon photonics may allow for effective implementation of the networks. While it has received little attention, this broad mixture of ideas appears to form a viable system architecture for parallel computing, but it also raises questions about implementation methodology and performance studies of parallel algorithms. This talk is part of the Cavendish Astrophysics Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCambridge AWiSE Cambridge Review of International Affairs Electronics Knowledge Transfer Network Cambridge Infectious Disease Cambridge University Wilderness Medicine Society Sinew Speakers SeriesOther talksAspects of adaptive Galerkin FE for stochastic direct and inverse problems Cohomology of the moduli space of curves Production Processes Group Seminar - 'Re-thinking biosensors for resource-limited settings' The DNA oxygenase TET1 in mammalian embryonic development and epigenetic reprogramming |