IBM initiative reportedly offers 18% improvement on embedded applications
IBM today announced the public availability of Milepost GCC, the world’s first open source machine learning compiler.
The compiler intelligently optimizes applications which in turn means shorter software development times and bigger performance gains.
Initial IBM experiments conducted on IBM System p servers achieved an average 18 percent performance improvement on embedded-application benchmarks.
The new compiler, a result of collaboration between IBM and its partners in the European Union-funded Milepost consortium, is expected to significantly reduce time-to-market for new software designs.
“Our technology automatically learns how to get the best performance from the hardware — whether mobile phones, desktops, or entire systems — the software will run faster and use less energy,” noted Dr. Bilha Mendelson, Manager of Code Optimization Technologies at IBM Research – Haifa. “We opened the compiler environment so it can access artificial intelligence and machine learning guidance to automatically determine exactly what specific optimizations should be used and when to apply them to ramp-up performance.”
“We’ve developed a more cost-effective development process where you can choose to integrate additional functionality or use less power in your current system,” explained Mike O’Boyle, Professor of Computer Science at the School of Informatics, University of Edinburgh and Project Coordinator for Milepost. “Previously, the same devices could only support a limited list of features while still maintaining a high level of performance.”
As a by-product of the Milepost technology, the consortium has launched a code-tuning web site available to the development community. Developers can upload their software code to the site and automatically get input on how to tune their code for better results.