One paper accepted to DATE 2025

One papers was accepted to the Design, Automation and Test in Europe Conference (DATE) 2025. Our paper proposes HyMM, an efficient sparse-dense matrix multiplication accelerator architecture for GCNs. HyMM implements a hybrid sparse-dense matrix multiplication dataflow to exploit the data locality observed in graph structures in GCNs.

Hunjong Lee
Hunjong Lee
Master (alumnus)
Jihun Lee
Jihun Lee
PhD Student
Jaewon Seo
Jaewon Seo
Master (alumnus)
Gunjae Koo
Gunjae Koo
Associate Professor