Maxim Naumov
Alpha Omega Alpha Medical Honor Society(US)Menlo School(US)Meta (United States)(US)
Publications by Year
Research Areas
Recommender Systems and Techniques, Matrix Theory and Algorithms, Parallel Computing and Optimization Techniques, Stochastic Gradient Optimization Techniques, Caching and Content Delivery
Most-Cited Works
- → Deep Learning Recommendation Model for Personalization and Recommendation Systems(2019)390 cited
- → The Architectural Implications of Facebook's DNN-Based Personalized Recommendation(2020)258 cited
- → Atomistic Simulation of Realistically Sized Nanodevices Using NEMO 3-D—Part I: Models and Benchmarks(2007)228 cited
- → RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing(2020)220 cited
- → AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods(2015)155 cited
- → Software-hardware co-design for fast and scalable training of deep learning recommendation models(2022)122 cited
- Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU(2011)