In depth view of the XMT programming from people that use it for their research.
How a classical problem can be redefined to exploit the XMT peculiar parallel architecture and memory structure.
In May 2012 CSCS organized a workshop on ”Using the next-generation Cray XMT (uRiKA) for Large Scale Data Analytics“. One of the speakers were John Feo and Oreste Villa from the Pacific Northwest National Laboratory (PNNL) and Jim Maltby from Cray. Experts from Cray Inc and Pacific Northwest National Laboratory gave talks on the system architecture, programming model, semantic database, and programming best practices. The goal of the workshop was to give a feeling on both how to use the resident database and write highly-scalable parallel programs to solve complex data analysis problems. The videos are now available online.
An overview of the XMT machine, now rechristened uRiKA, and the strategies it implements to effectively solve problems with irregular structure like graph algorithms.
Slides Cray XMT uRiKA Overview »
An overview of the XMT machine, now rechristened uRiKA, and the strategies it implements to effectively solve problems with irregular structure like graph algorithms.
Slides Cray XMT uRiKA Programming »
The uRiKA machine comes with a software stack specialized for graph queries. Through SPARQL statements the user could submit complex queries to obtain insightful analytics on graphs.
Slides Cray XMT uRiKA Graph Analytics »