Jidong Zhai
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| title | conference | date |
|---|---|---|
| mTuner: Accelerating Parameter-Efficient Fine-Tuning on Multi-GPU Servers with... | USENIX ATC '25 | 2025-07-07 |
mTuner implements an Elastic Tensor abstraction that exposes four tunable operations — gather, discard, execute, checkpoint — and a one‑time schedule search to… | ||
| QFactory: Accelerating Quantized Large Language Model Serving with Qtile Graphs | USENIX ATC '25 | 2025-07-07 |
QFactory is a compilation framework that generates fused quantized kernels by deferring dequantization, representing quantized tensors with a Qtile-graph… | ||
| PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules | USENIX ATC '25 | 2025-07-07 |
PluS implements a loop-centric plus graph abstraction plus a pattern warehouse for decoupled subgraph matching and a PluS code template interface, letting… | ||
| HypeReca: Distributed Heterogeneous In-Memory Embedding Database for Training... | USENIX ATC '25 | 2025-07-07 |
HypeReca is a distributed in-memory key‑value embedding database that uses both GPU and CPU memory, implements decentralized indexing tables (DIT) with a local… | ||
| PUZZLE: Efficiently Aligning Large Language Models through Light-Weight Context... | USENIX ATC 2024 | 2024-07-10 |
PUZZLE implements a two-dimensional model-orchestration system that reduces context-switch overhead during RLHF by adding time-sharing within stages and a… | ||
| MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States | USENIX ATC 2024 | 2024-07-10 |
MAGPY monitors the Python interpreter’s execution states to record a reference graph of object references and versions, generates guards and small mo (mock)… | ||
| Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning | OSDI 2023 | 2023-07-10 |
OSDI '23 - Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
Chen Zhang, Tsinghua University, Lingxiao Ma, Microsoft Research, Jilong… | ||
| EINNET: Optimizing Tensor Programs with Derivation-Based Transformations | OSDI 2023 | 2023-07-10 |
EinNet claims a larger optimizer search space by turning tensor programs into tensor expressions and applying derivation-based tensor expression… | ||
| SmartMoE: Efficiently Training Sparsely-Activated Models through Combiningand... | USENIX ATC '23 | 2023-07-10 |
SmartMoE is an automatic system that combines two-stage parallelization (offline pool construction + online selection) with a data-sensitive performance model… | ||
| PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated | 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) | 2021-07-14 |
PET applies partially equivalent transformations plus automated corrections to expand the tensor-program search space and finds faster kernels by combining… | ||
| End-to-end I/O Monitoring on a Leading Supercomputer | NSDI 2019 | 2019-02-26 |
Beacon implements end-to-end I/O tracing on the 40,960‑node Sunway TaihuLight, collecting per‑job traces from compute, forwarding, storage and metadata servers… | ||
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