Author

Kristopher K. Micinski

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Preprint Oct 2026

Distributed Datalog at Scale with Worst-Case Optimal Joins

Scalable logic-based analytics are frequently dominated by cyclic multi-way joins over large relational datasets. State-of-the-art systems evaluate these joins through chains of binary joins, incurring substantial overhead from large intermediate relations that must be materialized and redistributed across the network....

Kun-Ting Qi, Yi-Hao Sun, Kristopher K. Micinski et al. · 0 citations

#artificial intelligence Preprint Sep 2026

When LLM Decompilers Recompile More and Preserve Less

Decompile-Diverge is proposed, a behavioral comparison oracle not relying on fixed or hand-crafted tests: for each function it synthesizes a driver, grows a fuzzing corpus from the reference, and reruns the decompiled code on the same inputs to detect changes in the function's behavior.

Chang Liu, Edward Raff, Kristopher K. Micinski · 3 citations

Jul 2026

Terascale Query Processing in the Browser: Rethinking GPU Acceleration

WGLog is introduced, the first web-browser-native GPU engine for compute-bound recursive database queries and replaces hash-table-based joins with atomic-free sorted-array joins, eliminating the serialization bottleneck that hash tables suffer on skewed graphs.

Jiaxin Lu, Landon Dyken, Yi-Hao Sun et al. · arXiv.org · 0 citations