AWhat changed
Built a dynamic task-graph runtime combining task and actor abstractions with a sharded fault-tolerant control store and bottom-up distributed scheduling for heterogeneous AI workloads.
Scientific scope
Built a dynamic task-graph runtime combining task and actor abstractions with a sharded fault-tolerant control store and bottom-up distributed scheduling for heterogeneous AI workloads. Inherits distributed task graphs and actor models. Original nine-author2017preprint is distinct from expanded eleven-author2018version. Throughput/latency and failure recovery are tested system properties, not universal scale or zero-overhead guarantees.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits distributed task graphs and actor models. Original nine-author2017preprint is distinct from expanded eleven-author2018version. Throughput/latency and failure recovery are tested system properties, not universal scale or zero-overhead guarantees.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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