10 citations · 13 across the 7 of their papers we have counts for
8 papers
ParaCell: Paravirtualized Secure Containers with Lightweight Intra-Container Isolation and Intent-Driven Memory Management
Yiyang Wu, Xunjie Wang, Jinyu Gu +1
Secure containers isolate each container with its own kernel, mitigating shared-kernel attacks prevalent in traditional container systems. However, existing designs still face a fu…
VUDA: Enabling Controlled Spatial Sharing of Graphics and Compute on NVIDIA GPUs
Bin Xu, Pengfei Hu, Wenxin Zheng +2
Graphics and compute increasingly share a single GPU in embodied AI simulators, AI-enabled games, and VR systems. Running these workloads concurrently can improve utilization, but…
Leveraging OS-Level Primitives for Robotic Action Management
Wenxin Zheng, Boyang Li, Bin Xu +3
End-to-end imitation learning frameworks (e.g., VLA) are increasingly prominent in robotics, as they enable rapid task transfer by learning directly from perception to control, eli…
PhoenixOS: Concurrent OS-level GPU Checkpoint and Restore with Validated Speculation
Xingda Wei, Zhuobin Huang, Tianle Sun +5
PHOENIXOS (PHOS) is the first OS service that can concurrently checkpoint and restore (C/R) GPU processes--a fundamental capability for critical tasks such as fault tolerance, proc…
Characterizing Network Requirements for GPU API Remoting in AI Applications
Tianxia Wang, Zhuofu Chen, Xingda Wei +3
GPU remoting is a promising technique for supporting AI applications. Networking plays a key role in enabling remoting. However, for efficient remoting, the network requirements in…
Transactional Indexes on (RDMA or CXL-based) Disaggregated Memory with Repairable Transaction
Xingda Wei, Haotian Wang, Tianxia Wang +4
The failure atomic and isolated execution of clients operations is a default requirement for a system that serve multiple loosely coupled clients at a server. However, disaggregate…
No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing
Xingda Wei, Fangming Lu, Tianxia Wang +4
Serverless platforms essentially face a tradeoff between container startup time and provisioned concurrency (i.e., cached instances), which is further exaggerated by the frequent n…
Asymmetry-aware Scalable Locking
Nian Liu, Jinyu Gu, Dahai Tang +3
The pursuit of power-efficiency is popularizing asymmetric multicore processors (AMP) such as ARM big.LITTLE, Apple M1 and recent Intel Alder Lake with big and little cores. Howeve…