Minchen Yu
where else to find them
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all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Wei Wang5×
- Ruichuan Chen2×
- Ao Wangonce
all 21 in the filters
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| title | conference | date |
|---|---|---|
| Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient... | USENIX ATC '25 | 2025-07-07 |
Torpor implements late binding with model swapping to keep models in host memory and move them to a shared GPU pool on demand, using asynchronous API… | ||
| Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference | USENIX ATC '25 | 2025-07-07 |
System pins the base LLM on GPUs and dynamically loads LoRA adapters from host memory, while CPU-assisted LoRA computation precomputes the lightweight XAB… | ||
| Following the Data, Not the Function: Rethinking Function Orchestration in Serverless | NSDI 2023 | 2023-04-17 |
Pheromone implements a data-bucket abstraction and trigger primitives on Kubernetes (coordinator + workers) so intermediate objects themselves drive invocation… | ||
| CrystalPerf: Learning to Characterize the Performance of Dataflow Computation... | USENIX ATC '21 | 2021-07-14 |
CrystalPerf learns from source code to infer per-operator resource breakdowns (CPU, network, disk) and combines that with non‑intrusive sampling profiler… | ||
| MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving | USENIX ATC '19 | 2019-07-10 |
MArk is an AWS inference-serving system that combines dynamic batching (to make GPUs cheaper than CPUs at moderate batch sizes), predictive autoscaling (to… | ||
| nothing matches | ||