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Running IPython kernels through batch queues

Project description

Remote IKernel

Launch IPython/Jupyter kernels on remote systems so that they can be used with local noteboooks.

Kernels start through interactive queues on SGE clusters and are tunneled to from the machine running the notebook.

Commands for managing the kernels are included.

Install with pip install remote_ikernel.

# install the module (python install also works)
pip install remote_ikernel
# Set up the kernels you'd like to use
remote_ikernel manage
# add a new kernel
remote_ikernel manage --add --kernel_cmd='ipython kernel' \
                            --name="Python 2.7" \
                            --interface=sge \
                            --cpus=4 --pe=smp

The kernel spec will be installed so that the new kernel appears in the drop-down list in the notebook.

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remote_ikernel-0.1.tar.gz (5.6 kB view hashes)

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