We are proud to announce the release of SPM.Python version 3.110505, and wish to acknowledge the generous support of the HPC Advisory Council in providing access to GPU servers to validate and stress test of our solution.
SPM.Python is a scalable parallel version of the popular Python language. Showcased as a disruptive technology at Supercomputing 2010 and highlighted on StartUp Row at PyCON 2011, it enables users to exploit parallelism across servers, cores and GPUs in a fault tolerant manner.
Using resources at the HPC Advisory Council High Performance Center, we were able to conduct around 20,000 different sets of experiments; most were designed to fail in order to
validate the failure recovery and self-cleaning capabilities of SPM.Python.
With this release, users may launch any standalone application in parallel and in a manner that inherits fault tolerance from SPM.Python, thus freeing the developers to focus on their core application while maximizing utilization of resources and minimizing runtime costs.