EPISODE · Nov 30, 2020 · 30 MIN
Moore's Law Momentum with CSAIL's Saman Amarasinghe
from CSAIL Alliances Podcasts · host CSAIL Alliances
“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
What this episode covers
“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
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Moore's Law Momentum with CSAIL's Saman Amarasinghe
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