2026/04/30 Two Full Papers Accepted at GLSVLSI 2026!

📣 📣 📣 Thrilled to share that our two papers ‘‘DORA: Dataflow-Instruction Orchestration Architecture for DNN Acceleration’’ (Student Lead: Xingzhen Chen) and ‘‘μ-ORCA: Optimizing Acceleration for Microsecond-Scale Deep Neural Network Inference on ACAP’’ (Student Lead: Shixin Ji) have been accepted by the ACM Great Lakes Symposium on VLSI 2026 (GLSVLSI 2026)!

More information:

👉 GLSVLSI 2026 DORA
👉 GLSVLSI 2026 μ-ORCA

Congratulations to the Team!