2 citations · 2 across the 5 of their papers we have counts for
5 papers
Gutenberg: Taming Latency-Critical Cloud Services with Near-Data-Processing
Qiushi Lin, Phillip B. Gibbons, Jovan Stojkovic +1
Latency-critical cloud services place growing pressure on memory while requiring isolation, fairness, and predictable QoS. Near-data processing (NDP) reduces data movement by execu…
AdaDINO: Context-Adaptive DINO-Distilled Vision Foundation Models for Efficient Open-Vocabulary Edge Inference
Yiwei Zhao, Yi Zheng, Huapeng Su +9
Always-on contextual AI runs language-aligned vision foundation models (VFMs) on edge devices, where the on-device model is the dominant continuous compute cost under strict latenc…
TD-Orch: Efficient Task-Data Orchestration for Distributed Systems with Application to Graph Processing
Yiwei Zhao, Qiushi Lin, Hongbo Kang +5
We introduce a task-data orchestration abstraction that supports a range of distributed applications. Given a batch of lambda tasks each requesting a data item, where both tasks an…
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices
Yiwei Zhao, Ziyun Li, Win-San Khwa +10
Low-Latency and Low-Power Edge AI is essential for Virtual Reality and Augmented Reality applications. Recent advances show that hybrid models, combining convolution layers (CNN) a…
PIM-tree: A Skew-resistant Index for Processing-in-Memory
Hongbo Kang, Yiwei Zhao, Guy E. Blelloch +4
The performance of today's in-memory indexes is bottlenecked by the memory latency/bandwidth wall. Processing-in-memory (PIM) is an emerging approach that potentially mitigates thi…