Daniel Wong

Associate Professor
Department of Electrical and Computer Engineering
Cooperating Faculty
Department of Computer Science and Engineering
Graduate Advisor
Computer Engineering Program
University of California, Riverside

CV Google Scholar

425 Winston Chung Hall
University of California, Riverside
Riverside, CA 92521

danwong |at| ucr |dot| edu
daniel.wong |at| ucr |dot| edu

(951) 827-2986

Recent News

11/2018: Paper on GPU Register File Coalescing accepted to ASPLOS 2019! Congrats Hodjat!

11/2018: Paper on Dynamic Power Management for Microsecond Workloads accepted to HPCA 2019! Congrats Chou!

7/2018: Received funding from NSF to support our research on Energy Saving in Heterogeneous Data Centers! Thanks NSF!

6/2018: Congrats to all my students who will be interning this summer/fall! Amirali will be interning at Google, Devashree will be interning at Samsung Austin R&D, and Marcus will be interning at AMD Research!

5/2018: I will be serving on the program committee for DATE 2019. Submit your best work!

5/2018: Collaborative work on Load-triggered Warp Approximation accepted to ISLPED 2018!

1/2018: Collaborative work on joint network and server energy efficiency accepted to IPDPS 2018. Congrats Liang!

1/2018: I will be serving on the program committee for ISLPED 2018. Submit your best work!

9/2017: I will be serving on the program committee for IPDPS 2018.

7/2017: Paper on Data Dependency Support in GPU accepted to MICRO 2017 -- Congratulations Amirali and Devashree!

4/2017: Awarded $1.8M grant from California Energy Commission for our project on energy efficent data centers! Thanks CEC!

3/2017: I will be serving on the program committee for ICCD 2017. Submit your best work!

1/2017: I will be serving on the program committee for ISLPED 2017. Submit your best work!

8/2016: Paper on Performance Modeling of Blocked SpMV accepted to SBAC-PAD.

4/2016: Paper on DynSleep accepted to ISLPED 2016!

3/2016: Paper on Origami: Folding Warps for Energy Efficient GPUs accepted to ICS 2016!

3/2016: Paper on Peak Efficiency Aware Scheduling accepted to ISCA 2016!


Daniel Wong is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside. His research spans Computer Architecture, High Performance Computing, and Warehouse-scale Computing. His current research focuses on energy efficient and high performance computing systems from datacenter scale to micro-architectures.

Daniel completed his PhD in Electrical Engineering at the University of Southern California (USC) working with Professor Murali Annavaram in the Super Computing In Pocket (SCIP) Research Group. He was supported through the Provost’s PhD Fellowship. He earned his BS in Computer Engineering and Computer Science and MS in Electrical Engineering, all at USC.

In the past he also worked on Cyber Security and Non-volatile memory management at Lawrence Livermore National Labs and Emerging Non-volatile memory architecture at Samsung Semiconductor, Inc. R&D. While at USC, he also worked on applications of Embedded Systems for Robots, and Pinball machines.


UC Regents’ Faculty Fellowships, 2018
IEEE Micro Top Picks from the Computer Architecture Conferences of 2012
Provost’s PhD Fellowship, University of Southern California, 2009-2013
Rose Hills Undergraduate Summer Research Fellowship, 2009
Rose Hills Foundation Scholarship, 2008

Professional Activities

Organizing Committee

Tutorials Chair, International Symposium on Computer Architecture (ISCA), 2018

Program Committee

International Symposium on High-Performance Computer Architecture (HPCA), 2021, 2022
International Symposium on Microarchitecture (MICRO), 2016, 2022
International Symposium on Low Power Electronics and Design (ISLPED), 2016 - 2022
Design, Automation and Test in Europe (DATE), 2019 - 2021
International Parallel and Distributed Processing Symposium (IPDPS), 2018 - 2020
High-Performance Graphics (HPG), 2020
International Conference on Computer Design (ICCD), 2016, 2017, 2020, 2022
International Conference on Green and Sustainable Computing (IGSC), 2020
International Conference on Parallel Processing (ICPP), 2018, 2019
International Conference on Networking, Architecture, and Storage (NAS), 2016, 2020, 2021
Workshop on General Purpose Processing Using GPU (GPGPU), 2019, 2020
The Young Architect Workshop (YArch), 2019, 2020
International Workshop on the Intersection of High Performance Computing and Machine Learning (HPCaML), 2019
ASPLOS ACM Student Research Competition, 2018, 2019

External Review Committee

International Symposium on Microarchitecture (MICRO), 2019
International Symposium on High-Performance Computer Architecture (HPCA), 2018, 2019

Editorial Board

Integration, the VLSI Journal, Associate Editor, 2017-Present

Invited Reviewer

IEEE Transactions on Computers (TC), 2016 - 2019;
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2018 - 2020;
ACM Transactions on Architecture and Code Optimization (TACO), 2018 - 2020;
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2018;
ACM Transactions on Parallel Computing (TOPC), 2018;
IEEE Transactions on Cloud Computing (TCC), 2017;
IEEE Transactions on Service Computing (TSC), 2017;
IEEE Micro, 2018;
Computer Architecture Letters (CAL), 2015, 2016, 2018;
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2015, 2017, 2019;
IEEE Design & Test (D&T), 2015

Our work is generously supported by the following sponsors: