Quy Ta

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 5

Top Topics

Restricted Boltzmann Machine

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)
Rengan Xu, Frank Han, Quy Ta
Deep Learning at Scale on NVIDIA V100 Accelerators. PMBS@SC (2018)