Sources Contact Advanced Search Tutorials

An Interest In:

Web News this Week

Search Archive

Some of Our Sources

View All Sources

Help Webnuz

Referal links:

January 6, 2020 02:05 pm

MIT's New Tool Predicts How Fast a Chip Can Run Your Code

Folks at the Massachusetts Institute of Technology (MIT) have developed a new machine learning-based tool that will tell you how fast a code can run on various chips. This will help developers tune their applications for specific processor architectures. From a report: Traditionally, developers used the performance model of compilers through a simulation to run basic blocks -- fundamental computer instruction at the machine level -- of code in order to gauge the performance of a chip. However, these performance models are not often validated through real-life processor performance. MIT researchers developed an AI model called Ithmel by training it to predict how fast a chip can run unknown basic blocks. Later, it was supported by a database called BHive with 300,000 basic blocks from specialized fields such as machine learning, cryptography, and graphics. The team of researchers presented a paper [PDF] at the NeuralIPS conference in December to describe a new technique to measure code performance on various processors. The paper also describes Vemal, a new automatically generating algorithm that can be used to generate compiler optimizations.

Slashdot

Slashdot was originally created in September of 1997 by Rob "CmdrTaco" Malda. Today it is owned by Geeknet, Inc..

More About this Source Visit Slashdot