2 papers
cs.AR2026
FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees
Zhiqiang Que, Chang Sun, Haiyang Wang +6
Boosted decision trees (BDTs) are widely used in latency-critical applications, but efficient hardware deployment remains challenging. Existing designs often rely on uniform or man…
cs.AR2026
NL2GDS: LLM-aided interface for Open Source Chip Design
Max Eland, Jeyan Thiyagalingam, Dinesh Pamunuwa +1
The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and syste…