OpenSHMEM for Epiphany

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The Epiphany coprocessor has 16 CPU cores, but they are configured differently than the 16 cores you might find in an Intel Xeon processor.  The Xeon processor is configured as a Symmetric Multiprocessor (SMP) [0] where all cores have shared access to a single main memory. Programming models like OpenMP and OpenCL are more suitable for SMP architectures.  In contrast,…

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Parallel and Distributed Computing with LOLCODE

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A newly developed compiler [0] and paper describing the parallel language [1] are released today which enable a novel approach to parallel and distributed programming for the many-core Epiphany coprocessor included in Parallella as well as multi-core CPUs and distributed clusters.  The LOLCODE language, originally developed in 2007, has been extended to include parallel and distributed programming concepts directly within…

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A million core RISC CPU

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At the recent HiPEAC conference in Stockholm, Andreas Olofsson presented a path to the world’s first million core RISC microprocessor. Slides (PDF) —- Andreas Olofsson, “How to build a million core processor”, MULTIPROG: 2017 International Workshop on Programmability and Architectures for Heterogeneous Multicores  

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An open source 1024-core Epiphany Simulator

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A couple of years ago, Ola Jeppsson started working on a 1024-core simulator as part of his Master’s Thesis at Chalmer’s University in Sweden. (advisor, Sally McKee). He picked up the project again in 2016 as part of the validation process of the 1024-core Epiphany-V. Debugging with the simulator is an order of magnitude easier than with hardware, so you should…

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Parabuntu 2016.11 Release

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Thanks to another heroic integration effort from Ola Jeppsson, we now have a much improved Parallella Linux Distribution based on Ubuntu 15.04. (Note the name change from “pubuntu” to “parabuntu”) Here’s a selection of some of the pre-installed features: HDMI improvements (Thanks to Peter Saunderson and Ola Jeppsson) GDB Epiphany multicore support (Thanks to Pedro Alvez) EPYTHON parallel programming framework…

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Task farms on the Epiphany

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Splitting problems up into tasks and running these concurrently over a number of cores is a popular approach to parallelism. In recent years this has becoming more and more popular and is seen as one of the ways in which parallel codes might be written for future machines with very large numbers of processing cores. In this tutorial we are…

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