Authors introduce ArcIris and TripletIris as the first open-source iris matchers on the IREX X leaderboard, release compliant C++ and Python code, new segmentation tools, and performance results for major open-source iris methods across public benchmarks.
Parallelizing the dual revised simplex method
3 Pith papers cite this work. Polarity classification is still indexing.
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A harness for AI agents enabled construction of a Rust library with 100+ problem types and 200+ reduction rules for NP-hard problems in three months.
SPARK is a sparsity-aware near-cache ILP accelerator achieving up to 15x performance and 152x energy reduction over CPUs for sparse ILPs on MIPLIB 2017 workloads.
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Problem Reductions at Scale: Agentic Integration of Computationally Hard Problems
A harness for AI agents enabled construction of a Rust library with 100+ problem types and 200+ reduction rules for NP-hard problems in three months.
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A comprehensive study on ILP acceleration accounting for sparsity, area, energy, data movement using near-memory architecture
SPARK is a sparsity-aware near-cache ILP accelerator achieving up to 15x performance and 152x energy reduction over CPUs for sparse ILPs on MIPLIB 2017 workloads.