Teaching Robotics and Computer Science with Pinball Machines. - Daniel Wong 001; Darren Earl; Fred Zyda; Sven Koenig (AAAI Spring Symposium: Educational Robotics and Beyond, 2010)

Teaching Artificial Intelligence and Robotics Via Games. - Daniel Wong 001; Ryan Zink; Sven Koenig (EAAI, 2010)

Implementing games on pinball machines. - Daniel Wong 001; Darren Earl; Fred Zyda; Ryan Zink; Sven Koenig; Allen Pan; Selby Shlosberg; Jaspreet Singh; Nathan R. Sturtevant (FDG, 2010)

Adaptive and Speculative Slack Simulations of CMPs on CMPs. - Jianwei Chen; Lakshmi Kumar Dabbiru; Daniel Wong 001; Murali Annavaram; Michel Dubois 001 (MICRO, 2010)

KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity. - Daniel Wong 001; Murali Annavaram (MICRO, 2012)

Warped gates: gating aware scheduling and power gating for GPGPUs. - Mohammad Abdel-Majeed; Daniel Wong 001; Murali Annavaram (MICRO, 2013)

Scaling the Energy Proportionality Wall with KnightShift. - Daniel Wong 001; Murali Annavaram (IEEE Micro, 2013)

Implications of high energy proportional servers on cluster-wide energy proportionality. - Daniel Wong 001; Murali Annavaram (HPCA, 2014)

A Retrospective Look Back on the Road Towards Energy Proportionality. - Daniel Wong 001; Julia Chen; Murali Annavaram (IISWC, 2015)

Invited - Cross-layer modeling and optimization for electromigration induced reliability. - Taeyoung Kim 001; Zeyu Sun 001; Chase Cook; Hengyang Zhao; Ruiwen Li; Daniel Wong 001; Sheldon X.-D. Tan (DAC, 2016)

Approximating warps with intra-warp operand value similarity. - Daniel Wong 001; Nam Sung Kim; Murali Annavaram (HPCA, 2016)

Origami: Folding Warps for Energy Efficient GPUs. - Mohammad Abdel-Majeed; Daniel Wong 001; Justin Kuang; Murali Annavaram (ICS, 2016)

Peak Efficiency Aware Scheduling for Highly Energy Proportional Servers. - Daniel Wong 001 (ISCA, 2016)

DynSleep: Fine-grained Power Management for a Latency-Critical Data Center Application. - Chih-Hsun Chou; Daniel Wong 001; Laxmi N. Bhuyan (ISLPED, 2016)

STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. - Steena Monteiro; Forrest N. Iandola; Daniel Wong 001 (SBAC-PAD, 2016)

Squeezing Energy Savings Out Of Similar Data and Computation in GPGPUs. - Daniel Wong 001 (Adv. Math. Commun., 2016)

Wireframe: supporting data-dependent parallelism through dependency graph execution in GPUs. - AmirAli Abdolrashidi; Devashree Tripathy; Mehmet Esat Belviranli; Laxmi Narayan Bhuyan; Daniel Wong 001 (MICRO, 2017)

Joint Server and Network Energy Saving in Data Centers for Latency-Sensitive Applications. - Liang Zhou 006; Chih-Hsun Chou; Laxmi N. Bhuyan; K. K. Ramakrishnan; Daniel Wong 001 (IPDPS, 2018)

Load-Triggered Warp Approximation on GPU. - Zhenhong Liu; Daniel Wong 001; Nam Sung Kim (ISLPED, 2018)

CORF: Coalescing Operand Register File for GPUs. - Hodjat Asghari Esfeden; Farzad Khorasani; Hyeran Jeon; Daniel Wong 001; Nael B. Abu-Ghazaleh (ASPLOS, 2019)

μDPM: Dynamic Power Management for the Microsecond Era. - Chih-Hsun Chou; Laxmi N. Bhuyan; Daniel Wong 001 (HPCA, 2019)

Long-Term Reliability Management For Multitasking GPGPUs. - Zeyu Sun 001; Taeyoung Kim 001; Marcus Chow; Shaoyi Peng; Han Zhou 002; Hyoseung Kim 001; Daniel Wong 001; Sheldon X.-D. Tan (SMACD, 2019)

Locality-Aware GPU Register File. - Hyeran Jeon; Hodjat Asghari Esfeden; Nael B. Abu-Ghazaleh; Daniel Wong 001; Sindhuja Elango (IEEE Comput. Archit. Lett., 2019)

Speeding up Collective Communications Through Inter-GPU Re-Routing. - Kiran Ranganath; AmirAli Abdolrashidi; Shuaiwen Leon Song; Daniel Wong 001 (IEEE Comput. Archit. Lett., 2019)

High-Performance Parallel Radix Sort on FPGA. - Bashar Romanous; Mohammadreza Rezvani; Junjie Huang; Daniel Wong 001; Evangelos E. Papalexakis; Vassilis J. Tsotras; Walid A. Najjar (FCCM, 2020)

BOW: Breathing Operand Windows to Exploit Bypassing in GPUs. - Hodjat Asghari Esfeden; AmirAli Abdolrashidi; Shafiur Rahman; Daniel Wong 001; Nael B. Abu-Ghazaleh (MICRO, 2020)

Transferable Graph Optimizers for ML Compilers. - Yanqi Zhou; Sudip Roy 002; AmirAli Abdolrashidi; Daniel Wong 001; Peter C. Ma; Qiumin Xu; Hanxiao Liu; Mangpo Phitchaya Phothilimtha; Shen Wang; Anna Goldie; Azalia Mirhoseini; James Laudon (NeurIPS, 2020)

GPU-NEST: Characterizing Energy Efficiency of Multi-GPU Inference Servers. - Ali Jahanshahi; Hadi Zamani Sabzi; Chester Lau; Daniel Wong 001 (IEEE Comput. Archit. Lett., 2020)

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 001 (ISCA, 2021)

LC-MEMENTO: A Memory Model for Accelerated Architectures. - Kiran Ranganath; Jesun Firoz; Joshua Suetterlein; Joseph B. Manzano; Andres Marquez 001; Mark Raugas; Daniel Wong 001 (LCPC, 2021)

ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU. - Hadi Zamani 001; Devashree Tripathy; Ali Jahanshahi; Daniel Wong 001 (NAS, 2021)

LocalityGuru: A PTX Analyzer for Extracting Thread Block-level Locality in GPGPUs. - Devashree Tripathy; AmirAli Abdolrashidi; Quan Fan; Daniel Wong 001; Manoranjan Satpathy (NAS, 2021)

Energy Efficient Task Graph Execution Using Compute Unit Masking in GPUs. - Marcus Chow; Kiran Ranganath; Robert Lerias; Mika Shanela Carodan; Daniel Wong 001 (RSDHA@SC, 2021)

MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. - Kiran Ranganath; Joshua D. Suetterlein; Joseph B. Manzano; Shuaiwen Leon Song; Daniel Wong 001 (SC, 2021)

PAVER: Locality Graph-Based Thread Block Scheduling for GPUs. - Devashree Tripathy; AmirAli Abdolrashidi; Laxmi Narayan Bhuyan; Liang Zhou 006; Daniel Wong 001 (ACM Trans. Archit. Code Optim., 2021)

GPUCalorie: Floorplan Estimation for GPU Thermal Evaluation. - Marcus Chow; Ali Jahanshahi; Ana Cardenas Beltran; Sheldon X.-D. Tan; Daniel Wong 001 (ISPASS, 2022)

ScaleServe: a scalable multi-GPU machine learning inference system and benchmarking suite. - Ali Jahanshahi; Marcus Chow; Daniel Wong 001 (GPGPU@PPoPP, 2022)

PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service. - Ali Jahanshahi; Nanpeng Yu; Daniel Wong 001 (ACM Trans. Archit. Code Optim., 2022)

KRISP: Enabling Kernel-wise RIght-sizing for Spatial Partitioned GPU Inference Servers. - Marcus Chow; Ali Jahanshahi; Daniel Wong 001 (HPCA, 2023)

CoFRIS: Coordinated Frequency and Resource Scaling for GPU Inference Servers. - Marcus Chow; Daniel Wong 001 (IGSC, 2023)

WattWiser: Power & Resource-Efficient Scheduling for Multi-Model Multi-GPU Inference Servers. - Ali Jahanshahi; Mohammadreza Rezvani; Daniel Wong 001 (IGSC, 2023)

VSCuda: LLM based CUDA extension for Visual Studio Code. - Brian Chen; Nafis Mustakin; Alvin Hoang; Sakib Fuad; Daniel Wong 001 (SC Workshops, 2023)

GCAPS: GPU Context-Aware Preemptive Priority-Based Scheduling for Real-Time Tasks. - Yidi Wang 001; Cong Liu 005; Daniel Wong 001; Hyoseung Kim 001 (ECRTS, 2024)

PCCL: Energy-Efficient LLM Training with Power-Aware Collective Communication. - Ziyang Jia; Laxmi N. Bhuyan; Daniel Wong 001 (ICCD, 2024)

Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF. - Mohammadreza Rezvani; Ali Jahanshahi; Daniel Wong 001 (ISPASS, 2024)

Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks. - Yidi Wang 001; Cong Liu 005; Daniel Wong 001; Hyoseung Kim 001 (CoRR, 2024)

Optimizing Auto-tuning of OpenMP Offload kernels for performance and power. - Nafis Mustakin; Daniel Wong 001 (GPGPU@PPoPP, 2025)

ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs. - Ryan Quach; Yidi Wang 001; Ali Jahanshahi; Daniel Wong 001; Hyoseung Kim 001 (CoRR, 2025)