ReDESK: A Reconfigurable Dataflow Engine for Sparse Kernels on Heterogeneous Platforms.
Kai LuZhaoshi LiLeibo LiuJiawei WangShouyi YinShaojun WeiPublished in: ICCAD (2019)
Keyphrases
- heterogeneous platforms
- dynamic reconfiguration
- web services
- multiple kernel
- parallel computing
- high dimensional
- sparse representation
- shared memory
- data flow
- kernel function
- low cost
- general purpose
- sparse data
- kernel methods
- field programmable gate array
- multiple kernel learning
- control flow
- database machine
- hardware implementation
- feature space
- kernel matrices
- positive semi definite
- support vector
- linear combination
- software architecture
- linear svm
- reconfigurable architecture