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University of New Mexico

Academic institutionnorthamerica · us
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Research library82linked papers
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Selected work

Representative Papers

Scaling All-to-All Operations Across Emerging Many-Core Supercomputers

Nov 15, 2025SC25-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis

This work proposes a novel architecture-aware collective communication algorithm to address the all-to-all communication bottleneck on emerging many-core supercomputers. By holistically considering message size, process count, node topology, and system partitioning, the algorithm optimizes data scheduling and communication pathways. Evaluated on a 32-node system based on Intel Sapphire Rapids processors, the proposed method achieves up to a 3× speedup over state-of-the-art MPI implementations, significantly enhancing communication efficiency for applications such as fast Fourier transforms, matrix transposition, and machine learning workloads.

1 citationsRead paper

Bankrupting DoS Attackers

May 17, 2022

This paper addresses the severe cost asymmetry between attackers and defenders in Denial-of-Service (DoS) attacks by proposing an economic deterrence mechanism based on dynamic pricing. The server employs a lightweight probabilistic estimator to continuously characterize legitimate traffic features and dynamically prices each incoming request, thereby ensuring that the attacker’s per-unit cost asymptotically exceeds the combined cost incurred by the server and honest users. Theoretical contributions include: (i) the first asymptotically optimal guarantee wherein the attacker’s cost strictly dominates the defender’s; (ii) provably optimal online pricing algorithms for both synchronous and asynchronous adversarial models; and (iii) tight lower bounds linking estimation error to cost growth. Experimental and competitive analysis demonstrates that, under constant-factor estimation error, the server’s total cost grows strictly slower than the attacker’s—significantly enhancing the economic sustainability and deterrent efficacy of DoS defense.

1 citationsRead paper
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