Maxim Naumov

According to our database1, Maxim Naumov authored at least 24 papers between 2004 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.
CoRR, 2019

Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems.
CoRR, 2019

Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems.
CoRR, 2019

The Architectural Implications of Facebook's DNN-based Personalized Recommendation.
CoRR, 2019

Deep Learning Recommendation Model for Personalization and Recommendation Systems.
CoRR, 2019

Spatial-Winograd Pruning Enabling Sparse Winograd Convolution.
CoRR, 2019

On the Dimensionality of Embeddings for Sparse Features and Data.
CoRR, 2019

2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.
CoRR, 2018

On Periodic Functions as Regularizers for Quantization of Neural Networks.
CoRR, 2018

Bandana: Using Non-volatile Memory for Storing Deep Learning Models.
CoRR, 2018

A Block-Oriented, Parallel and Collective Approach to Sparse Indefinite Preconditioning on GPUs.
Proceedings of the 8th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2018

2017
Parallel Complexity of Forward and Backward Propagation.
CoRR, 2017

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks.
CoRR, 2017

Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form.
CoRR, 2017

Parallel Depth-First Search for Directed Acyclic Graphs.
Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms, 2017

Parallel jaccard and related graph clustering techniques.
Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2017

Parallel Modularity Clustering.
Proceedings of the International Conference on Computational Science, 2017

2015
AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods.
SIAM J. Scientific Computing, 2015

2011
On the modification of an eigenvalue problem that preserves an eigenspace.
J. Computational Applied Mathematics, 2011

2010
A tearing-based hybrid parallel sparse linear system solver.
J. Computational Applied Mathematics, 2010

2009
Multimillion Atom Simulations with Nemo3D.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

2006
Stability of Semi-implicit Atmospheric Models with Respect to the Reference Temperature Profile.
Proceedings of the Numerical Methods and Applications, 6th International Conference, 2006

Semi-Lagrangian Scale Selective Two-Time-Level Scheme for Hydrostatic Atmospheric Model.
Proceedings of the Computational Science, 2006

2004
On correctness of the vertical discretization in numerical weather prediction models.
Applied Mathematics and Computation, 2004


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