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Verified Tensor-Program Optimization Via High-Level ...
As the existing tactic language is Turing-complete, we have a powerful framework for coding derivation building blocks at many levels of abstraction and automation. With our tooling, any programmer may add a new rewrite rule or automation procedure, with no danger of ... and the machine-checkable proof of
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Introduction To Machine Learning - people.csail.mit.edu
people.csail.mit.eduIntroduction To Machine Learning David Sontag New York University Lecture 21, April 14, 2016 David Sontag (NYU) Introduction To Machine Learning Lecture 21, April 14, 2016 1 / 14. Expectation maximization Algorithm is as follows: 1 Write down the complete log-likelihood log p(x;z; ) in such a way
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people.csail.mit.eduAscend is marginally more complex than a conventional proces- sor, in the sense that Ascend must implement an ISA and also make sure that the work it does is sufficiently obfuscated.
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Jigsaw: Scalable Software-Defined Caches
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JIGSAW - Massachusetts Institute of Technology
people.csail.mit.eduJigsaw is the only scheme to simultaneously benefit network and DRAM latency Optimum . Evaluation: Energy 60 ! 16-core multiprogrammed mixes ! McPAT models of full-system energy (chip + DRAM) ! Jigsaw achieves best energy reduction ! Up to 72%, gmean of 11% ! …
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arxiv.orgNeural machine translation is a newly emerging approach to machine translation, recently proposed by Kalchbrenner and Blunsom (2013), Sutskever et al. (2014) and Cho et al. (2014b). Unlike the traditional phrase-based translation system (see, e.g., Koehn et al., 2003) which consists of many
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