Daniel Wong

Computer Science · Physical Sciences

22h-index1.5kcitations84works0.92yr avg
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Research Topics

Parallel Computing and Optimization Techniques(36), Cloud Computing and Resource Management(22), Advanced Data Storage Technologies(21), Distributed and Parallel Computing Systems(14), Interconnection Networks and Systems(8)

Publications84 total

Coordinating Power Grid Frequency Regulation Service with Data Center Load Flexibility
arXiv (Cornell University)·2026Open Access
Coordinating Power Grid Frequency Regulation Service with Data Center Load Flexibility
ArXiv.org·2026Open Access
Stochastic long-term joint decarbonization planning for power systems and data centers: A case study in PJM
International Journal of Electrical Power & Energy Systems·2025Open Access
The MALL is Open: Exploring Shared Caches and Latency in AMD CDNA™ 3 GPUs
2025· 1 citedOpen Access
ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs
2025
ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs
arXiv (Cornell University)·2025Open Access
Optimizing Auto-tuning of OpenMP Offload kernels for performance and power
2025Open Access
Geographical Server Relocation: Opportunities and Challenges
ACM SIGEnergy Energy Informatics Review·2024· 2 cited
PCCL: Energy-Efficient LLM Training with Power-Aware Collective Communication
2024· 4 cited
GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks
arXiv (Cornell University)·2024Open Access
Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF
2024· 4 cited
GCAPS: GPU Context-Aware Preemptive Priority-Based Scheduling for Real-Time Tasks
arXiv (Cornell University)·2024Open Access
VSCuda: LLM based CUDA extension for Visual Studio Code
2023· 4 citedOpen Access
WattWiser: Power & Resource-Efficient Scheduling for Multi-Model Multi-GPU Inference Servers
2023· 5 citedOpen Access
CoFRIS: Coordinated Frequency and Resource Scaling for GPU Inference Servers
2023· 3 citedOpen Access
KRISP: Enabling Kernel-wise RIght-sizing for Spatial Partitioned GPU Inference Servers
2023· 22 cited
GPUCalorie: Floorplan Estimation for GPU Thermal Evaluation
2022· 2 cited
ScaleServe
2022· 2 cited
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service
ACM Transactions on Architecture and Code Optimization·2022· 13 citedOpen Access
LC-MEMENTO: A Memory Model for Accelerated Architectures
Lecture notes in computer science·2022· 2 cited
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Frequent Co-authors

AmirAli Abdolrashidi(9), Murali Annavaram(7), Laxmi N. Bhuyan(6), Ali Jahanshahi(6), Ivan Dias da Motta(4), Devashree Tripathy(4), Hodjat Asghari Esfeden(4), Nael Abu‐Ghazaleh(4), Olav Møyner(3), Chih-Hsun Chou(3), Wilsun Xu(2), Knut‐Andreas Lie(2), Angela H. Jiang(2), Michael A. Kozuch(2), Padmanabhan Pillai(2), David G. Andersen(2), Gregory R. Ganger(2), Mohammad Abdel-Majeed(2), Nam Sung Kim(2), Nanpeng Yu(2)