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ORCIDDaniel Wong 0001
Person information
- affiliation: University of California, Riverside, CA, USA
Other persons with the same name
- Daniel Wong — disambiguation page
- Daniel Wong 0002 — Markham, ON, Canada (and 1 more)
- Daniel Wong 0003 — San Jose State University, CA, USA
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2020 – today
- 2024
[c37]Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim
:
GCAPS: GPU Context-Aware Preemptive Priority-Based Scheduling for Real-Time Tasks. ECRTS 2024: 14:1-14:25- [c36]Mohammadreza Rezvani, Ali Jahanshahi, Daniel Wong:
Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF. ISPASS 2024: 24-35 - [i5]Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim:
Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks. CoRR abs/2401.16529 (2024) - [i4]Yidi Wang, Cong Liu, Daniel Wong, Hyoseung Kim:
GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks. CoRR abs/2406.05221 (2024) - 2023
- [c35]Marcus Chow, Ali Jahanshahi, Daniel Wong:
KRISP: Enabling Kernel-wise RIght-sizing for Spatial Partitioned GPU Inference Servers. HPCA 2023: 624-637 - [c34]Ali Jahanshahi, Mohammadreza Rezvani, Daniel Wong:
WattWiser: Power & Resource-Efficient Scheduling for Multi-Model Multi-GPU Inference Servers. IGSC 2023: 39-44 - [c33]Marcus Chow, Daniel Wong:
CoFRIS: Coordinated Frequency and Resource Scaling for GPU Inference Servers. IGSC 2023: 45-51 - [c32]Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, Daniel Wong:
VSCuda: LLM based CUDA extension for Visual Studio Code. SC Workshops 2023: 11-17 - 2022
- [j6]Ali Jahanshahi, Nanpeng Yu, Daniel Wong:
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service. ACM Trans. Archit. Code Optim. 19(3): 36:1-36:27 (2022) - [c31]Marcus Chow, Ali Jahanshahi, Ana Cardenas Beltran, Sheldon X.-D. Tan, Daniel Wong:
GPUCalorie: Floorplan Estimation for GPU Thermal Evaluation. ISPASS 2022: 239-241 - [c30]Ali Jahanshahi, Marcus Chow, Daniel Wong:
ScaleServe: a scalable multi-GPU machine learning inference system and benchmarking suite. GPGPU@PPoPP 2022: 5:1-5:2 - [e1]Yifan Sun, Daniel Wong, Hoda Naghibijouybari:
GPGPU@PPoPP 2022: Proceedings of the 14th Workshop on General Purpose Processing Using GPU, Virtual Event, Seoul, Republic of Korea, 3 April 2022. ACM 2022, ISBN 978-1-4503-9348-5 [contents] - 2021
- [j5]Devashree Tripathy, AmirAli Abdolrashidi, Laxmi Narayan Bhuyan, Liang Zhou, Daniel Wong:
PAVER: Locality Graph-Based Thread Block Scheduling for GPUs. ACM Trans. Archit. Code Optim. 18(3): 32:1-32:26 (2021) - [c29]AmirAli Abdolrashidi, Hodjat Asghari Esfeden, Ali Jahanshahi, Kaustubh Singh, Nael B. Abu-Ghazaleh, Daniel Wong:
BlockMaestro: Enabling Programmer-Transparent Task-based Execution in GPU Systems. ISCA 2021: 333-346 - [c28]Kiran Ranganath, Jesun Firoz, Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Mark Raugas, Daniel Wong:
LC-MEMENTO: A Memory Model for Accelerated Architectures. LCPC 2021: 67-82 - [c27]Hadi Zamani, Devashree Tripathy, Ali Jahanshahi, Daniel Wong:
ICAP: Designing Inrush Current Aware Power Gating Switch for GPGPU. NAS 2021: 1-8 - [c26]Devashree Tripathy, AmirAli Abdolrashidi, Quan Fan, Daniel Wong, Manoranjan Satpathy:
LocalityGuru: A PTX Analyzer for Extracting Thread Block-level Locality in GPGPUs. NAS 2021: 1-8 - [c25]Marcus Chow, Kiran Ranganath, Robert Lerias, Mika Shanela Carodan, Daniel Wong:
Energy Efficient Task Graph Execution Using Compute Unit Masking in GPUs. RSDHA@SC 2021: 45-51 - [c24]Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong:
MAPA: multi-accelerator pattern allocation policy for multi-tenant GPU servers. SC 2021: 99 - [i3]Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano, Shuaiwen Leon Song, Daniel Wong:
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers. CoRR abs/2110.03214 (2021) - 2020
- [j4]Ali Jahanshahi, Hadi Zamani Sabzi, Chester Lau, Daniel Wong:
GPU-NEST: Characterizing Energy Efficiency of Multi-GPU Inference Servers. IEEE Comput. Archit. Lett. 19(2): 139-142 (2020) - [c23]Bashar Romanous, Mohammadreza Rezvani, Junjie Huang, Daniel Wong, Evangelos E. Papalexakis, Vassilis J. Tsotras, Walid A. Najjar:
High-Performance Parallel Radix Sort on FPGA. FCCM 2020: 224 - [c22]Hodjat Asghari Esfeden, AmirAli Abdolrashidi, Shafiur Rahman, Daniel Wong, Nael B. Abu-Ghazaleh:
BOW: Breathing Operand Windows to Exploit Bypassing in GPUs. MICRO 2020: 996-1008 - [c21]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:
Transferable Graph Optimizers for ML Compilers. NeurIPS 2020 - [i2]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:
Transferable Graph Optimizers for ML Compilers. CoRR abs/2010.12438 (2020)
2010 – 2019
- 2019
- [j3]Kiran Ranganath, AmirAli Abdolrashidi, Shuaiwen Leon Song, Daniel Wong:
Speeding up Collective Communications Through Inter-GPU Re-Routing. IEEE Comput. Archit. Lett. 18(2): 128-131 (2019) - [j2]Hyeran Jeon, Hodjat Asghari Esfeden, Nael B. Abu-Ghazaleh, Daniel Wong, Sindhuja Elango:
Locality-Aware GPU Register File. IEEE Comput. Archit. Lett. 18(2): 153-156 (2019) - [c20]Hodjat Asghari Esfeden, Farzad Khorasani, Hyeran Jeon, Daniel Wong, Nael B. Abu-Ghazaleh:
CORF: Coalescing Operand Register File for GPUs. ASPLOS 2019: 701-714 - [c19]Chih-Hsun Chou, Laxmi N. Bhuyan, Daniel Wong:
μDPM: Dynamic Power Management for the Microsecond Era. HPCA 2019: 120-132 - [c18]Zeyu Sun, Taeyoung Kim, Marcus Chow, Shaoyi Peng, Han Zhou, Hyoseung Kim, Daniel Wong, Sheldon X.-D. Tan:
Long-Term Reliability Management For Multitasking GPGPUs. SMACD 2019: 213-216 - 2018
- [c17]Liang Zhou, Chih-Hsun Chou, Laxmi N. Bhuyan, K. K. Ramakrishnan, Daniel Wong:
Joint Server and Network Energy Saving in Data Centers for Latency-Sensitive Applications. IPDPS 2018: 700-709 - [c16]Zhenhong Liu, Daniel Wong, Nam Sung Kim:
Load-Triggered Warp Approximation on GPU. ISLPED 2018: 26:1-26:6 - 2017
- [c15]AmirAli Abdolrashidi, Devashree Tripathy, Mehmet Esat Belviranli, Laxmi Narayan Bhuyan, Daniel Wong:
Wireframe: supporting data-dependent parallelism through dependency graph execution in GPUs. MICRO 2017: 600-611 - 2016
- [c14]Taeyoung Kim, Zeyu Sun, Chase Cook, Hengyang Zhao, Ruiwen Li, Daniel Wong, Sheldon X.-D. Tan:
Invited - Cross-layer modeling and optimization for electromigration induced reliability. DAC 2016: 30:1-30:6 - [c13]Daniel Wong, Nam Sung Kim, Murali Annavaram:
Approximating warps with intra-warp operand value similarity. HPCA 2016: 176-187 - [c12]Mohammad Abdel-Majeed, Daniel Wong, Justin Kuang, Murali Annavaram:
Origami: Folding Warps for Energy Efficient GPUs. ICS 2016: 41:1-41:12 - [c11]Daniel Wong:
Peak Efficiency Aware Scheduling for Highly Energy Proportional Servers. ISCA 2016: 481-492 - [c10]Chih-Hsun Chou, Daniel Wong, Laxmi N. Bhuyan:
DynSleep: Fine-grained Power Management for a Latency-Critical Data Center Application. ISLPED 2016: 212-217 - [c9]Steena Monteiro, Forrest N. Iandola, Daniel Wong:
STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. SBAC-PAD 2016: 93-100 - [i1]Daniel Wong:
Squeezing Energy Savings Out Of Similar Data and Computation in GPGPUs. Adv. Math. Commun. 4 (2016) - 2015
- [c8]Daniel Wong, Julia Chen, Murali Annavaram:
A Retrospective Look Back on the Road Towards Energy Proportionality. IISWC 2015: 110-111 - 2014
- [c7]Daniel Wong, Murali Annavaram:
Implications of high energy proportional servers on cluster-wide energy proportionality. HPCA 2014: 142-153 - 2013
- [j1]Daniel Wong, Murali Annavaram:
Scaling the Energy Proportionality Wall with KnightShift. IEEE Micro 33(3): 28-37 (2013) - [c6]Mohammad Abdel-Majeed, Daniel Wong, Murali Annavaram:
Warped gates: gating aware scheduling and power gating for GPGPUs. MICRO 2013: 111-122 - 2012
- [c5]Daniel Wong, Murali Annavaram:
KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity. MICRO 2012: 119-130 - 2010
- [c4]Daniel Wong, Darren Earl, Fred Zyda, Sven Koenig:
Teaching Robotics and Computer Science with Pinball Machines. AAAI Spring Symposium: Educational Robotics and Beyond 2010 - [c3]Daniel Wong, Ryan Zink, Sven Koenig:
Teaching Artificial Intelligence and Robotics Via Games. EAAI 2010: 1917-1918 - [c2]Daniel Wong, Darren Earl, Fred Zyda, Ryan Zink, Sven Koenig, Allen Pan, Selby Shlosberg, Jaspreet Singh, Nathan R. Sturtevant:
Implementing games on pinball machines. FDG 2010: 240-247 - [c1]Jianwei Chen, Lakshmi Kumar Dabbiru, Daniel Wong, Murali Annavaram, Michel Dubois:
Adaptive and Speculative Slack Simulations of CMPs on CMPs. MICRO 2010: 523-534
Coauthor Index
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last updated on 2024-12-12 20:58 CET by the dblp team
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