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Deep Learning Recommendation Model for Personalization and Recommendation Systems, , , , , , , , , and 14 other author(s). (2019)cite arxiv:1906.00091Comment: 10 pages, 6 figures.Statistical reliability analysis under process variation and aging effects., , , , , and . DAC, page 514-519. ACM, (2009)Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations., , , , , , , , , and 2 other author(s). ICML, OpenReview.net, (2024)Retiming for Soft Error Minimization Under Error-Latching Window Constraints., and . DATE, page 1008-1013. EDA Consortium San Jose, CA, USA / ACM DL, (2013)Optimal multi-domain clock skew scheduling., , and . DAC, page 152-157. ACM, (2011)An efficient algorithm for library-based cell-type selection in high-performance low-power designs., , , and . ICCAD, page 226-232. ACM, (2012)Efficient design space exploration for component-based system design., and . ICCAD, page 466-472. ACM, (2012)PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation., , , , , , , , , and 39 other author(s). ASPLOS (2), page 929-947. ACM, (2024)Multicore parallel min-cost flow algorithm for CAD applications., , , and . DAC, page 832-837. ACM, (2009)Optimal prescribed-domain clock skew scheduling., , and . ASP-DAC, page 523-527. IEEE, (2012)