PPAC: A Versatile In-Memory Accelerator for Matrix-Vector-Product-Like Operations.
Oscar CastañedaMaria BobbettAlexandra Gallyas-SanhuezaChristoph StuderPublished in: ASAP (2019)
Keyphrases
- rows and columns
- sparse matrix
- compute intensive
- life cycle
- eigenvalues and eigenvectors
- matrix representation
- memory usage
- matrix multiplication
- vector space
- parallel implementation
- storage media
- linearly independent
- memory size
- state information
- memory requirements
- product design
- symmetric matrices
- product information
- image processing
- limited memory
- weight vector
- low rank
- similarity measure