Showing 1–16 of 16 results
/ Date/ Name
Nov 11, 2020Understanding Training Efficiency of Deep Learning Recommendation Models at ScaleNov 14, 2018Bandana: Using Non-volatile Memory for Storing Deep Learning ModelsOct 30, 2021Sustainable AI: Environmental Implications, Challenges and OpportunitiesNov 24, 2018Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware ImplicationsSep 11, 2023Large Language Models for Compiler OptimizationAug 19, 2024Conference Submission and Review Policies to Foster Responsible Computing ResearchDec 30, 2019RecNMP: Accelerating Personalized Recommendation with Near-Memory ProcessingAug 13, 2019Exploiting Parallelism Opportunities with Deep Learning FrameworksMar 2, 2023BenchDirect: A Directed Language Model for Compiler BenchmarksAug 13, 2022BenchPress: A Deep Active Benchmark GeneratorNov 23, 2021Caviar: An E-graph Based TRS for Automatic Code OptimizationJun 6, 2019The Architectural Implications of Facebook's DNN-based Personalized RecommendationOct 2, 2019MLPerf Training BenchmarkApr 1, 2021Using Python for Model Inference in Deep LearningMar 29, 2019MLSys: The New Frontier of Machine Learning SystemsJun 8, 2024Beyond Efficiency: Scaling AI Sustainably