Showing 1–15 of 15 results
/ Date/ Name
Jan 26, 2016qHiPSTER: The Quantum High Performance Software Testing EnvironmentNov 24, 2018Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware ImplicationsDec 8, 2014Lattice QCD with Domain Decomposition on Intel Xeon Phi Co-ProcessorsJan 13, 2021FBGEMM: Enabling High-Performance Low-Precision Deep Learning InferenceOct 21, 2021Supporting Massive DLRM Inference Through Software Defined MemoryJan 5, 2017Practical optimization for hybrid quantum-classical algorithmsFeb 4, 2016Error Sensitivity to Environmental Noise in Quantum Circuits for Chemical State PreparationJun 2, 2016Distributed Hessian-Free Optimization for Deep Neural NetworkMar 20, 2020Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out SystemsDec 30, 2019RecNMP: Accelerating Personalized Recommendation with Near-Memory ProcessingApr 12, 2021Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation ModelsSep 15, 2016On Large-Batch Training for Deep Learning: Generalization Gap and Sharp MinimaApr 21, 2016High Performance Emulation of Quantum CircuitsJun 6, 2019The Architectural Implications of Facebook's DNN-based Personalized RecommendationMay 26, 2021Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale