Updating VEOS to the glibc based 2.0.1 (and later) version from the online yum repository.
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Py-veo by Examples
py-veo implements the VEO API for Vector Engine Offloading. It allows the use of the VE from Python programs, even interactively and via IPython or Jupyter notebooks. VE kernels must be written in C, C++ or Fortran.
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VE process memory layout: pmap
Visualize the virtual memory layout of VE processes and see details of each virtual memory area.
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py-veosinfo: A Documentation Attempt
The Python bindings to the VE information library veosinfo are a simple and direct way of accessing programmatically details about the vector engines installed in a system.
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Testing VEOS with accelerated DMA and VE profiling
A set of RPMs for VEOS, libved, ve_drv and vp which implement an accelerated variant of the DMA manager for privileged DMA that is aware of huge pages. In addition this version contains patches that fix lock-ups that were happening when using veprof, the external profiling tool.
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Building and Testing LLVM-VE-RV
An easy way to build the LLVM-VE-RV stack and use it for testing and playing with the compiler.
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VE monitoring with veperf
Simple and easy external performance monitoring of VE processes.
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VEOS yum Repository on the Web
Updating or installing VEOS related packages directly from an online yum repository.
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Building VEOS Packages
Little helper tools that make it easy to build VEOS, the VE related kernel modules, libved, VEO and start tweaking the VE operating system.
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First steps with the SX-Aurora TSUBASA vector engine
A little "getting started" user guide for new users of the NEC SX-Aurora TSUBASA vector engine.
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