Talks

2026

We present ReLATE, a deep reinforcement learning framework for automatically constructing an efficient sparse tensor format

We present ReLATE, a deep reinforcement learning framework for automatically constructing an efficient sparse tensor format

2024

We present a custom geometric multigrid preconditioned conjugate gradient method that applies summation-by-parts(SBP)-preserving …

2023

We demonstrate the efficiency and performance-portability of encoding sparse tensors in a linearized format

2020

We discuss using high-performance tensor decomposition for topic modeling and malware detection

2019

We discuss our experience in optimizing the CP and Tucker decomposition algorithms for sparse datasets on a distributed system.

We discuss our experience in optimizing the CP and Tucker decomposition algorithms for sparse datasets on a distributed system.

We share our experience in using tensor decomposition for detecting malware

We discuss our experience in optimizing the non-negative Tucker decomposition for sparse datasets on a distributed system.

We discuss our experience in optimizing the CP and Tucker decomposition algorithms for sparse datasets on a distributed system.

We discuss our experience in optimizing the CP and Tucker decomposition algorithms for sparse datasets on a distributed system.

We discuss our experience in optimizing the CP and Tucker decomposition algorithms for sparse datasets on a distributed system.

We discuss our experience in optimizing the Tucker decomposition for sparse datasets on a distributed system.

We discuss our experience in optimizing the sparse MTTKRP kernel using varoius blocking techniques.