77 citations · 113 across the 10 of their papers we have counts for
3 papers · 1 filter
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris +5
Attention-based neural networks have become pervasive in many AI tasks. Despite their excellent algorithmic performance, the use of the attention mechanism and feed-forward network…
Extending the RISC-V ISA for exploring advanced reconfigurable SIMD instructions
Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk
This paper presents a novel, non-standard set of vector instruction types for exploring custom SIMD instructions in a softcore. The new types allow simultaneous access to a relativ…
Pangloss: a novel Markov chain prefetcher
Philippos Papaphilippou, Paul H. J. Kelly, Wayne Luk
We present Pangloss, an efficient high-performance data prefetcher that approximates a Markov chain on delta transitions. With a limited information scope and space/logic complexit…