FREIGHT: Fast Streaming Hypergraph Partitioning — SEA 2023 Best Paper Award

Open-source EDA library with 99% accuracy on cardinality estimation, O(columns) memory, single-pass stats.

Buffered Streaming Graph Partitioning

StreamCPI is a framework for reducing the memory consumption of streaming graph partitioners by compressing the array of block assignments used by such partitioners with run-length compression.

Streaming Graph Clustering with Multi-Stage Refinement

Streaming Process Mapping

Archived experimental CVM/cardinality-estimation prototype; not maintained and not production/accuracy-validated.

One sweep, all segments: a line segment detector that reads the image exactly once — O(width) memory, integer-only streaming core — with HLS and Verilog RTL running live on an FPGA at 1080p30.