| 2026 | ICS | Coordinating GPU Data Centers and Power Grid Regulation Service for Exogenous Carbon Benefits. | Ali Jahanshahi, Sara Rashidi Golrouye, Osten Anderson, Nanpeng Yu, Daniel Wong |
| 2025 | ISLPED | ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs. | Ryan Quach, Yidi Wang, Ali Jahanshahi, Daniel Wong, Hyoseung Kim |
| 2024 | ISPASS | Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF. | Mohammadreza Rezvani, Ali Jahanshahi, Daniel Wong |
| 2023 | HPCA | KRISP: Enabling Kernel-wise RIght-sizing for Spatial Partitioned GPU Inference Servers. | Marcus Chow, Ali Jahanshahi, Daniel Wong |
| 2022 | ISPASS | GPUCalorie: Floorplan Estimation for GPU Thermal Evaluation. | Marcus Chow, Ali Jahanshahi, Ana Cardenas Beltran, Sheldon X.-D. Tan, Daniel Wong |
| 2022 | PPoPP | ScaleServe: a scalable multi-GPU machine learning inference system and benchmarking suite. | Ali Jahanshahi, Marcus Chow, Daniel Wong |
| 2021 | ISCA | BlockMaestro: Enabling Programmer-Transparent Task-based Execution in GPU Systems. | AmirAli Abdolrashidi, Hodjat Asghari Esfeden, Ali Jahanshahi, Kaustubh Singh, Nael B. Abu-Ghazaleh, Daniel Wong |