Jingren Zhou
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| title | conference | date |
|---|---|---|
| Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous | 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26) | 2026-07-13 |
Tessera is a pipeline-parallel framework that profiles fine-grained, per-pair overlap schedules and uses those measured post-overlap costs to cut stages, then… | ||
| StriaTrace: Efficient Tracing and Diagnosis for Online LLM Inference | 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26) | 2026-07-13 |
StriaTrace implements host and device collectors that record only 13 synchronization spans and kernel boundaries plus memory transfers, with a pass-by sampler… | ||
| TrainMover: An Interruption-Resilient Runtime for ML Training | 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26) | 2026-07-13 |
TrainMover is an ML training runtime that prepares standby GPUs ahead of interruptions by pre-recording output tensors and running communication-free sandboxed… | ||
| ServeGen: Workload Characterization and Generation of Large Language... | NSDI '26 | 2026-05-04 |
Characterization uses production traces spanning 3.5 billion requests over 4 months across 10 models and finds that traffic is dominated by a few customers —… | ||
| GLogS: Interactive Graph Pattern Matching Query At Large Scale | USENIX ATC '23 | 2023-07-10 |
GLogS is a distributed system that compiles declarative graph pattern queries (supports Cypher-like languages) into dataflow programs, builds a GLog catalog of… | ||
| Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale... | USENIX ATC '23 | 2023-07-10 |
Claims an end-to-end multi-GPU system that trains billion‑node GNNs on a single machine by combining hierarchical graph partitioning to minimize cache… | ||
| Bridging the Gap between Relational OLTP and Graph-based OLAP | USENIX ATC '23 | 2023-07-10 |
GART extends HTAP into HTGAP by adding a relational-to-graph mapping layer and an in-memory dynamic graph store that claims tens of milliseconds freshness and… | ||
| Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny | USENIX ATC '21 | 2021-07-14 |
Octo implements end-to-end INT8 training using a new Loss-aware Compensation mechanism and Parameterized Range Clipping so both forward and backward dot… | ||
| GAIA: A System for Interactive Analysis on Distributed Graphs Using a High-Level Language | NSDI ’21 | 2021-04-12 |
GAIA compiles Gremlin into a distributed dataflow and ships a runtime that automatically parallelizes nested, dynamic traversals. It introduces the… | ||
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