Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O.
S. Isaac Geronimo AndersonDaniel M. DunlavyPublished in: CoRR (2023)
Keyphrases
- input output
- tensor decomposition
- higher order
- general purpose
- university of north carolina
- message passing
- high dimensional
- web services
- machine learning
- tensor factorization
- high performance computing
- parallel implementation
- file system
- high order
- parallel algorithm
- sparse representation
- case study
- metadata
- information systems
- shared memory
- semantic web
- artificial intelligence
- north carolina
- information technology