John A. Lockman III

Publication Activity (10 Years)

Years Active: 2010-2020
Publications (10 Years): 4

Top Topics

Restricted Boltzmann Machine

Deep Belief Networks

Machine Translation

Markov Chain Monte Carlo Methods

Top Venues

SN Comput. Sci.

Publications

Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta
Parallelized Training of Restricted Boltzmann Machines Using Markov-Chain Monte Carlo Methods. SN Comput. Sci. 1 (3) (2020)
Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. ISC (2019)
Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods. CoRR (2019)
Derya Çavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. CoRR (2019)
Lucas A. Wilson, John A. Lockman III
Poster: The relentless computing paradigm: a data-oriented programming model for distributed-memory computation. SC Companion (2011)
Lucas A. Wilson, John A. Lockman III, Michael Scherger
Comparing the Effects of Varying Methods of Infection Spread in an Immune System-based Scheduler. GEM (2010)