Moore's Law Momentum with CSAIL's Saman Amarasinghe

“If we want to keep the Moore’s Law momentum going in computing, we have to do something different,” says CSAIL Professor Saman Amarasinghe, whose work with compilers is making them faster, more reliable, and more efficient. He discusses using new technologies like machine learning and modern algorithms and solvers to optimize code and get the performance needed to keep up with the rapid changes happening in industry. For more information, visit: https://cap.csail.mit.edu/engage/spotlights/saman-amarasinghe?utm_source=soundcloud&utm_medium=social%20media&utm_campaign=saman_amarasinghe_spotlight Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Moore%27s%20Law%20Momentum%20with%20CSAIL%27s%20Saman%20Amarasinghe%20Transcript%20.pdf

Om Podcasten

MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) Alliances serves as a gateway into the lab for industry and governmental institutions seeking a closer connection to the work, researchers, and students of CSAIL. Our podcast aims to provide inside access to topics covered by CSAIL and other leaders advancing computer science and AI research.