OpenSHMEM 1.4 for Epiphany

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OpenSHMEM 1.4 for Epiphany is available now as open source software on GitHub [0]. Compared to the previous announcement [1], OpenSHMEM 1.4 provides new functionality for Epiphany including, but not limited to: Adding shmem_sync_all and shmem_sync to provide PE synchronization without completing pending communication operations Adding shmem_test function, which tests whether a variable on the local PE has changed Adding shmem_calloc…

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Offloading kernels from Python codes onto the Epiphany

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The latest version of ePython makes it possible to take existing Python code and offload specific functions (we tend to call them kernels) to the Epiphany cores. This is really viewing the Epiphany as an accelerator, where codes run on the host (the Parallella) and specific computationally intensive kernels are then offloaded to the accelerator for execution. The good news…

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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

By | Announcements, Parallella Blog | One Comment

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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