45 citations · 62 across the 8 of their papers we have counts for
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cs.PL2024
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR
Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo +2
As custom hardware accelerators become more prevalent, it becomes increasingly important to automatically generate efficient host-driver code that can fully leverage the capabiliti…
cs.PL2023★ 3 cited
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators
Nicolas Bohm Agostini, Jude Haris, Perry Gibson +6
This paper addresses the need for automatic and efficient generation of host driver code for arbitrary custom AXI-based accelerators targeting linear algebra algorithms, an importa…