185 citations · 730 across the 53 of their papers we have counts for
5 papers · 1 filter
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
Ryan Barron, Maksim E. Eren, Manish Bhattarai +3
In several Machine Learning (ML) clustering and dimensionality reduction approaches, such as non-negative matrix factorization (NMF), RESCAL, and K-Means clustering, users must sel…
Distributed Out-of-Memory SVD on CPU/GPU Architectures
Ismael Boureima, Manish Bhattarai, Maksim E. Eren +3
We propose an efficient, distributed, out-of-memory implementation of the truncated singular value decomposition (t-SVD) for heterogeneous (CPU+GPU) high performance computing (HPC…
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai, Namita Kharat, Erik Skau +5
With the boom in the development of computer hardware and software, social media, IoT platforms, and communications, there has been an exponential growth in the volume of data prod…
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Ismael Boureima, Manish Bhattarai, Maksim Eren +4
We propose an efficient distributed out-of-memory implementation of the Non-negative Matrix Factorization (NMF) algorithm for heterogeneous high-performance-computing (HPC) systems…
Distributed Non-Negative Tensor Train Decomposition
Manish Bhattarai, Gopinath Chennupati, Erik Skau +3
The era of exascale computing opens new venues for innovations and discoveries in many scientific, engineering, and commercial fields. However, with the exaflops also come the extr…