| 2023 | Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems. | Mehran Salmani, Saeid Ghafouri, Alireza Sanaee, Kamran Razavi, Max Mhlhuser, Joseph Doyle, Pooyan Jamshidi, Mohsen Sharifi |
| 2023 | Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. | Muhammad Sabih, Mikail Yayla, Frank Hannig, Jrgen Teich, Jian-Jia Chen |
| 2023 | Is Bare-metal I/O Performance with User-defined Storage Drives Inside VMs Possible?: Benchmarking libvfio-user vs. Common Storage Virtualization Configurations. | Sebastian Rolon, Oana Balmau |
| 2023 | Latency-Aware Scheduling for Real-Time Application Support in Edge Computing. | Kevin Rbert, Heiko Bornholdt, Mathias Fischer, Janick Edinger |
| 2023 | Performance Characterization of Modern Storage Stacks: POSIX I/O, libaio, SPDK, and io_uring. | Zebin Ren, Animesh Trivedi |
| 2023 | FrozenHot Cache: Rethinking Cache Management for Modern Hardware. | Ziyue Qiu, Juncheng Yang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Qi Chen, Mao Yang, Yinlong Xu |
| 2023 | An Empirical Study of Resource-Stressing Faults in Edge-Computing Applications. | Maryam Pourreza, Priya Narasimhan |
| 2023 | Safe and Practical GPU Computation in TrustZone. | Heejin Park, Felix Xiaozhu Lin |
| 2023 | Pocket: ML Serving from the Edge. | Misun Park, Ketan Bhardwaj, Ada Gavrilovska |
| 2023 | Causal fault localisation in dataflow systems. | Andrei Paleyes, Neil David Lawrence |
| 2023 | Omni-Paxos: Breaking the Barriers of Partial Connectivity. | Harald Ng, Seif Haridi, Paris Carbone |
| 2023 | Trees and Turtles: Modular Abstractions for State Machine Replication Protocols. | Natalie Neamtu, Haobin Ni, Robbert van Renesse |
| 2023 | DRAMHiT: A Hash Table Architected for the Speed of DRAM. | Vikram Narayanan, David Detweiler, Tianjiao Huang, Anton Burtsev |
| 2023 | Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. | Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane |
| 2023 | Verify, And Then Trust: Data Inconsistency Detection in ZooKeeper. | Sushant Mane, Fangmin Lyu, Benjamin C. Reed |
| 2023 | Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. | Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu |
| 2023 | Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs. | Costin Lupu, Andrei Albisoru, Radu Nichita, Doru-Florin Blnzeanu, Mihai Pogonaru, Razvan Deaconescu, Costin Raiciu |
| 2023 | Cost-Aware Neural Network Splitting and Dynamic Rescheduling for Edge Intelligence. | Daniel Luger, Atakan Aral, Ivona Brandic |
| 2023 | An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads. | Luke Logan, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas |
| 2023 | Lyra: Elastic Scheduling for Deep Learning Clusters. | Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang |
| 2023 | FlexPass: A Case for Flexible Credit-based Transport for Datacenter Networks. | Hwijoon Lim, Jaehong Kim, Inho Cho, Keon Jang, Wei Bai, Dongsu Han |
| 2023 | RIO: Order-Preserving and CPU-Efficient Remote Storage Access. | Xiaojian Liao, Zhe Yang, Jiwu Shu |
| 2023 | A2TP: Aggregator-aware In-network Aggregation for Multi-tenant Learning. | Zhaoyi Li, Jiawei Huang, Yijun Li, Aikun Xu, Shengwen Zhou, Jingling Liu, Jianxin Wang |
| 2023 | ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices. | Changlong Li, Yu Liang, Rachata Ausavarungnirun, Zongwei Zhu, Liang Shi, Chun Jason Xue |
| 2023 | OFence: Pairing Barriers to Find Concurrency Bugs in the Linux Kernel. | Baptiste Lepers, Josselin Giet, Willy Zwaenepoel, Julia Lawall |