Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Accelerate Big Data and HPC applications with FPGAs using JupyterHub

Today InAccel annnounced that it has integrated JupyterHub into the company’s adaptive acceleration platform for FPGAs. InAccel provides an FPGA resource manager that allows the instant deployment, scaling and virtualization of FPGAs making easier than ever the utilization of FPGA clusters for applications like machine learning, data processing, data analytics and many more HPC workloads.

Video: JupyterHub as an Interactive Supercomputing Gateway

“At the Minnesota Supercomputing Institute we are exploring ways to provide the immediacy and flexibility of interactive computing within the batch-scheduled, tightly controlled world of traditional cluster supercomputing. As Jupyter Notebook has gained in popularity, the steps needed to use it within such an environment have proven to be a barrier to entry even as increasingly powerful Python tools have developed to take advantage of large computational resources. JupyterHub to the rescue! Except out of the box, it doesn’t know anything about resource types, job submission, and so on. We developed BatchSpawner and friends as a general JupyterHub backend for batch-scheduled environments. In this talk I will walk through how we have deployed JupyterHub to provide a user-friendly gateway to interactive supercomputing.”