Daniel Wong - RankMe

58 papers A* 14A 6B 3C 3Misc 1Journal 16Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coordinating Power Grid Frequency Regulation Service with Data Center Load Flexibility. CoRR Ali Jahanshahi, Sara Rashidi Golrouye, Osten Anderson, Nanpeng Yu, Daniel Wong
2026	J	`jnl`	eBeeMetrics: An eBPF-based Library Framework for Feedback-free Observability of QoS Metrics. CoRR Muntaka Ibnath, Mohammadreza Rezvani, Daniel Wong
2025	J	`jnl`	DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing. CoRR Lei Gao, Chaoyi Jiang, Hossein Entezari Zarch, Daniel Wong, Murali Annavaram
2025	A	`conf`	ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs. ISLPED Ryan Quach, Yidi Wang, Ali Jahanshahi, Daniel Wong, Hyoseung Kim
2025	J	`jnl`	ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs. CoRR Ryan Quach, Yidi Wang, Ali Jahanshahi, Daniel Wong, Hyoseung Kim
2025	—	`conf`	Optimizing Auto-tuning of OpenMP Offload kernels for performance and power. GPGPU@PPoPP Nafis Mustakin, Daniel Wong
2025	J	`jnl`	Stochastic Long-Term Joint Decarbonization Planning for Power Systems and Data Centers: A Case Study in PJM. CoRR Zhentong Shao, Nanpeng Yu, Daniel Wong
2025	—	`conf`	The MALL is Open: Exploring Shared Caches and Latency in AMD CDNA™ 3 GPUs. SC Workshops Andrew Tee, Nicholas Curtis, Noah Wolfe, Daniel Wong
2024	B	`conf`	Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF. ISPASS Mohammadreza Rezvani, Ali Jahanshahi, Daniel Wong
2024	B	`conf`	GCAPS: GPU Context-Aware Preemptive Priority-Based Scheduling for Real-Time Tasks. ECRTS Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim
2024	J	`jnl`	GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks. CoRR Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim
2024	C	`conf`	PCCL: Energy-Efficient LLM Training with Power-Aware Collective Communication. ICCD Ziyang Jia, Laxmi N. Bhuyan, Daniel Wong
2024	J	`jnl`	Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks. CoRR Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim
2023	—	`conf`	CoFRIS: Coordinated Frequency and Resource Scaling for GPU Inference Servers. IGSC Marcus Chow, Daniel Wong
2023	A*	`conf`	KRISP: Enabling Kernel-wise RIght-sizing for Spatial Partitioned GPU Inference Servers. HPCA Marcus Chow, Ali Jahanshahi, Daniel Wong
2023	—	`conf`	VSCuda: LLM based CUDA extension for Visual Studio Code. SC Workshops Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, Daniel Wong
2023	—	`conf`	WattWiser: Power & Resource-Efficient Scheduling for Multi-Model Multi-GPU Inference Servers. IGSC Ali Jahanshahi, Mohammadreza Rezvani, Daniel Wong
2022	—	`ed.`	GPGPU@PPoPP 2022: Proceedings of the 14th Workshop on General Purpose Processing Using GPU, Virtual Event, Seoul, Republic of Korea, 3 April 2022 GPGPU@PPoPP Yifan Sun, Daniel Wong, Hoda Naghibijouybari
2022	B	`conf`	GPUCalorie: Floorplan Estimation for GPU Thermal Evaluation. ISPASS Marcus Chow, Ali Jahanshahi, Ana Cardenas Beltran, Sheldon X.-D. Tan, Daniel Wong
2022	J	`jnl`	PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service. ACM Trans. Archit. Code Optim. Ali Jahanshahi, Nanpeng Yu, Daniel Wong
2022	—	`conf`	ScaleServe: a scalable multi-GPU machine learning inference system and benchmarking suite. GPGPU@PPoPP Ali Jahanshahi, Marcus Chow, Daniel Wong
2021	A*	`conf`	BlockMaestro: Enabling Programmer-Transparent Task-based Execution in GPU Systems. ISCA AmirAli Abdolrashidi, Hodjat Asghari Esfeden, Ali Jahanshahi, Kaustubh Singh, Nael B. Abu-Ghazaleh, Daniel Wong
2021	—	`conf`	Energy Efficient Task Graph Execution Using Compute Unit Masking in GPUs. RSDHA@SC Marcus Chow, Kiran Ranganath, Robert Lerias, Mika Shanela Carodan, Daniel Wong
2021	—	`conf`	ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU. NAS Hadi Zamani, Devashree Tripathy, Ali Jahanshahi, Daniel Wong
2021	—	`conf`	LC-MEMENTO: A Memory Model for Accelerated Architectures. LCPC Kiran Ranganath, Jesun Firoz, Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Mark Raugas, Daniel Wong
2021	—	`conf`	LocalityGuru: A PTX Analyzer for Extracting Thread Block-level Locality in GPGPUs. NAS Devashree Tripathy, AmirAli Abdolrashidi, Quan Fan, Daniel Wong, Manoranjan Satpathy
2021	J	`jnl`	MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers. CoRR Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
2021	A	`conf`	MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. SC Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong
2021	J	`jnl`	PAVER: Locality Graph-Based Thread Block Scheduling for GPUs. ACM Trans. Archit. Code Optim. Devashree Tripathy, AmirAli Abdolrashidi, Laxmi Narayan Bhuyan, Liang Zhou, Daniel Wong
2020	A*	`conf`	BOW: Breathing Operand Windows to Exploit Bypassing in GPUs. MICRO Hodjat Asghari Esfeden, AmirAli Abdolrashidi, Shafiur Rahman, Daniel Wong, Nael B. Abu-Ghazaleh
2020	J	`jnl`	GPU-NEST: Characterizing Energy Efficiency of Multi-GPU Inference Servers. IEEE Comput. Archit. Lett. Ali Jahanshahi, Hadi Zamani Sabzi, Chester Lau, Daniel Wong
2020	Misc	`conf`	High-Performance Parallel Radix Sort on FPGA. FCCM Bashar Romanous, Mohammadreza Rezvani, Junjie Huang, Daniel Wong, Evangelos E. Papalexakis, Vassilis J. Tsotras, Walid A. Najjar
2020	A*	`conf`	Transferable Graph Optimizers for ML Compilers. NeurIPS Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
2020	J	`jnl`	Transferable Graph Optimizers for ML Compilers. CoRR Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
2019	A*	`conf`	CORF: Coalescing Operand Register File for GPUs. ASPLOS Hodjat Asghari Esfeden, Farzad Khorasani, Hyeran Jeon, Daniel Wong, Nael B. Abu-Ghazaleh
2019	J	`jnl`	Locality-Aware GPU Register File. IEEE Comput. Archit. Lett. Hyeran Jeon, Hodjat Asghari Esfeden, Nael B. Abu-Ghazaleh, Daniel Wong, Sindhuja Elango
2019	—	`conf`	Long-Term Reliability Management For Multitasking GPGPUs. SMACD Zeyu Sun, Taeyoung Kim, Marcus Chow, Shaoyi Peng, Han Zhou, Hyoseung Kim, Daniel Wong, Sheldon X.-D. Tan
2019	J	`jnl`	Speeding up Collective Communications Through Inter-GPU Re-Routing. IEEE Comput. Archit. Lett. Kiran Ranganath, AmirAli Abdolrashidi, Shuaiwen Leon Song, Daniel Wong
2019	A*	`conf`	μDPM: Dynamic Power Management for the Microsecond Era. HPCA Chih-Hsun Chou, Laxmi N. Bhuyan, Daniel Wong
2018	A	`conf`	Joint Server and Network Energy Saving in Data Centers for Latency-Sensitive Applications. IPDPS Liang Zhou, Chih-Hsun Chou, Laxmi N. Bhuyan, K. K. Ramakrishnan, Daniel Wong
2018	A	`conf`	Load-Triggered Warp Approximation on GPU. ISLPED Zhenhong Liu, Daniel Wong, Nam Sung Kim
2017	A*	`conf`	Wireframe: supporting data-dependent parallelism through dependency graph execution in GPUs. MICRO AmirAli Abdolrashidi, Devashree Tripathy, Mehmet Esat Belviranli, Laxmi Narayan Bhuyan, Daniel Wong
2016	A*	`conf`	Approximating warps with intra-warp operand value similarity. HPCA Daniel Wong, Nam Sung Kim, Murali Annavaram
2016	A	`conf`	DynSleep: Fine-grained Power Management for a Latency-Critical Data Center Application. ISLPED Chih-Hsun Chou, Daniel Wong, Laxmi N. Bhuyan
2016	A*	`conf`	Invited - Cross-layer modeling and optimization for electromigration induced reliability. DAC Taeyoung Kim, Zeyu Sun, Chase Cook, Hengyang Zhao, Ruiwen Li, Daniel Wong, Sheldon X.-D. Tan
2016	A	`conf`	Origami: Folding Warps for Energy Efficient GPUs. ICS Mohammad Abdel-Majeed, Daniel Wong, Justin Kuang, Murali Annavaram
2016	A*	`conf`	Peak Efficiency Aware Scheduling for Highly Energy Proportional Servers. ISCA Daniel Wong
2016	C	`conf`	STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. SBAC-PAD Steena Monteiro, Forrest N. Iandola, Daniel Wong
2016	J	`jnl`	Squeezing Energy Savings Out Of Similar Data and Computation in GPGPUs. Tiny Trans. Comput. Sci. Daniel Wong
2015	—	`conf`	A Retrospective Look Back on the Road Towards Energy Proportionality. IISWC Daniel Wong, Julia Chen, Murali Annavaram
2014	A*	`conf`	Implications of high energy proportional servers on cluster-wide energy proportionality. HPCA Daniel Wong, Murali Annavaram
2013	J	`jnl`	Scaling the Energy Proportionality Wall with KnightShift. IEEE Micro Daniel Wong, Murali Annavaram
2013	A*	`conf`	Warped gates: gating aware scheduling and power gating for GPGPUs. MICRO Mohammad Abdel-Majeed, Daniel Wong, Murali Annavaram
2012	A*	`conf`	KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity. MICRO Daniel Wong, Murali Annavaram
2010	A*	`conf`	Adaptive and Speculative Slack Simulations of CMPs on CMPs. MICRO Jianwei Chen, Lakshmi Kumar Dabbiru, Daniel Wong, Murali Annavaram, Michel Dubois
2010	C	`conf`	Implementing games on pinball machines. FDG Daniel Wong, Darren Earl, Fred Zyda, Ryan Zink, Sven Koenig, Allen Pan, Selby Shlosberg, Jaspreet Singh, Nathan R. Sturtevant
2010	—	`conf`	Teaching Artificial Intelligence and Robotics Via Games. EAAI Daniel Wong, Ryan Zink, Sven Koenig
2010	—	`conf`	Teaching Robotics and Computer Science with Pinball Machines. AAAI Spring Symposium: Educational Robotics and Beyond Daniel Wong, Darren Earl, Fred Zyda, Sven Koenig