Lidong Zhou
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| title | conference | date |
|---|---|---|
| Equal Opportunity: A Correctness Condition for Ordered Consensus | 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26) | 2026-07-13 |
Defines a formal fairness condition called ordering equality (and a separation parameter delta) and shows randomness is necessary and sufficient to bound bias… | ||
| nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training | 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24) | 2024-07-10 |
A plan-generation framework implements three primitives op-trans, op-assign, op-order plus constraint filters so experts compose custom parallelization spaces… | ||
| SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation | USENIX ATC 2024 | 2024-07-10 |
SuperBench is a proactive validation system that runs a comprehensive benchmark suite (end‑to‑end and microbenchmarks), uses a Validator that learns benchmark… | ||
| VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed... | OSDI 2023 | 2023-07-10 |
VBase identifies a property called relaxed monotonicity that lets approximate nearest-neighbor indices serve as termination checks for SQL-style queries… | ||
| Welder: Scheduling Deep Learning Memory Access via Tile-graph | OSDI 2023 | 2023-07-10 |
Welder is a deep-learning compiler that builds a tile-graph abstraction to connect operators at register/shared-memory levels and schedule tiling across… | ||
| Optimizing Dynamic Neural Networks with Brainstorm | OSDI 2023 | 2023-07-10 |
Brainstorm introduces Cell as the sub-tensor routing unit and Router as a programmable dispatch operator, collects fine-grained runtime profiles, and applies… | ||
| On Modular Learning of Distributed Systems for Predicting End-to-End Latency | NSDI 2023 | 2023-04-17 |
Fluxion builds a modular performance model by packaging per-service ML models into learning assignments and wiring them into an inference graph so changes only… | ||
| AutoSys: The Design and Operation of Learning-Augmented Systems | USENIX ATC '20 | 2020-07-15 |
AutoSys is a unified framework that runs Hyperband, TPE, SMAC tuners and trial benchmarks to auto-tune five Web Search engines (selection, ranking, KV stores)… | ||
| NeuGraph: Parallel Deep Neural Network Computation on Large Graphs | USENIX ATC '19 | 2019-07-10 |
NeuGraph implements a TensorFlow-layer that fuses graph and dataflow models, adding trunk-based partitioning and a column-by-column scheduler, custom GPU… | ||
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