19 citations · 62 across the 13 of their papers we have counts for
3 papers · 1 filter
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package
Robert Guirado, Hyoukjun Kwon, Sergi Abadal +2
Deep neural network (DNN) models continue to grow in size and complexity, demanding higher computational power to enable real-time inference. To efficiently deliver such computatio…
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Lei Yang, Zheyu Yan, Meng Li +6
Neural Architecture Search (NAS) has demonstrated its power on various AI accelerating platforms such as Field Programmable Gate Arrays (FPGAs) and Graphic Processing Units (GPUs).…
Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina +6
The efficiency of a spatial DNN accelerator depends heavily on the compiler and its cost model ability to generate optimized mappings for various operators of DNN models on to the…