6 citations · 9 across the 7 of their papers we have counts for
7 papers
SwarmX: Agentic Scheduling for Low-Latency Agentic Systems
Yeqi Huang, Yanwei Ye, Guomin Chen +8
Agentic AI applications compose multiple model calls and tool executions, creating new scheduling challenges for GPU-CPU clusters. Their inference time and model-call structure oft…
SlideSparse: Fast and Flexible (2N-2):2N Structured Sparsity
Hanyong Shao, Yingbo Hao, Ting Song +10
NVIDIA's 2:4 Sparse Tensor Cores deliver 2x throughput but demand strict 50% pruning -- a ratio that collapses LLM reasoning accuracy (Qwen3: 54% to 15%). Milder patter…
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing
Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar +2
We propose Dirigo, a distributed stream processing service built atop virtual actors. Dirigo achieves both a high level of resource efficiency and performance isolation driven by u…
Banyan: A Scoped Dataflow Engine for Graph Query Service
Li Su, Xiaoming Qin, Zichao Zhang +6
Graph query services (GQS) are widely used today to interactively answer graph traversal queries on large-scale graph data. Existing graph query engines focus largely on optimizing…
Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
Le Xu, Shivaram Venkataraman, Indranil Gupta +2
Resource provisioning in multi-tenant stream processing systems faces the dual challenges of keeping resource utilization high (without over-provisioning), and ensuring performance…
Henge: Intent-driven Multi-Tenant Stream Processing
Faria Kalim, Le Xu, Sharanya Bathey +2
We present Henge, a system to support intent-based multi-tenancy in modern stream processing applications. Henge supports multi-tenancy as a first-class citizen: everyone inside an…