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Machine learning enhanced high-level synthesis research wins best paper at Quality Electronic Design conference

Boston University, News

“AutoAnnotate: Reinforcement-learning-based code annotation for high-level synthesis,” a paper resulting from a project at the Red Hat Collaboratory at Boston University, was selected as one of four Best Papers at the 25th International Symposium on Quality Electronic...

Dynamic Infrastructure Services Layer: Putting the benefits of programmable hardware within reach

Boston University, News

The pressure on developers to optimize applications for speed, performance, and efficiency keeps growing. Imagine if, instead of just modifying source code or linking in more efficient libraries, you could also customize your hardware stack to meet your specific...
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