Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition.
Vivek BharadwajOsman Asif MalikRiley MurrayAydin BuluçJames DemmelPublished in: CoRR (2022)
Keyphrases
- distributed memory
- randomized algorithms
- tensor decomposition
- shared memory
- approximation algorithms
- lower bound
- parallel implementation
- ibm sp
- tensor factorization
- multiprocessor systems
- constraint programming
- parallel computers
- matrix multiplication
- parallel algorithm
- data parallelism
- worst case
- practical problems
- parallel architecture
- randomized algorithm
- high dimensional
- message passing
- upper bound
- special case
- genetic algorithm
- reinforcement learning
- objective function
- computer architecture
- parallel machines
- parallel processing