With the boom in the development of computer hardware and software, social media, IoT platforms, and communications, there has been exponential growth in the volume of data produced worldwide. We provide scalable and efficent high performance computing (HPC) solutions for dimensionality reduction on emerging architectures. Our HPC solutions has been demonstrated a record-breaking 350 Terabytes (TB) dense and 10 Exabytes (EB) sparse synthetic datasets.
Papers
- Distributed non-negative rescal with automatic model selection for exascale data.,
M. Bhattarai, I. Boureima, E. Skau, B. Nebgen, H. Djidjev, S. Rajopadhye, ...
Journal of Parallel and Distributed Computing 179: 2023. - Distributed Out-of-Memory NMF on CPU/GPU Architectures.,
I. Boureima, M. Bhattarai, M. Eren, E. Skau, P. Romero, S. Eidenbenz, ...
Journal of Parallel and Distributed Computing: 2023. - Distributed out-of-memory svd on cpu/gpu architectures.,
I. Boureima, M. Bhattarai, M. E. Eren, N. Solovyev, H. Djidjev, B. S. Alexandrov
IEEE High Performance Extreme Computing Conference (HPEC): 2022. - Distributed out-of-memory nmf of dense and sparse data on cpu/gpu architectures with automatic model selection for exascale data.,
I. Boureima, M. Bhattarai, M. Eren, E. Skau, P. Romero, S. Eidenbenz, ...
arXiv preprint arXiv:2202.09518: 2022. - pyDRESCALk.,
M. Bhattarai, N. Kharat, E. Skau, B. Alexandrov, R. Vangara, J. Smith, ...
Los Alamos National Lab.(LANL), Los Alamos, NM (United States): 2021. - Distributed Non-Negative Tensor Train Decomposition,
M. Bhattarai, G. Chennupati, E. Skau, R. Vangara, H. Djidjev, and B.S. Alexandrov.
Proceedings of HPEC: 2020 IEEE High Performance Extreme Computing Virtual Conference, September 2020. - An out of memory tSVD for big-data factorization,
H. Carrillo-Cabada, E. Skau, G. Chennupati, B.S. Alexandrov, and H. Djidjev.
IEEE Access 8, 107749-107759, 2020. - Distributed non-negative matrix factorization with determination of the number of latent features,
G. Chennupati, R. Vangara, E. Skau, H. Djidjev, and B. Alexandrov.
The Journal of Supercomputing, 1-31, 2020.
LA-UR-23-31575