A memory-mapped approach to checkpointing D Wong, GS Lloyd, MB Gokhale Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2013 | 5 | 2013 |
A retrospective look back on the road towards energy proportionality D Wong, J Chen, M Annavaram 2015 IEEE International Symposium on Workload Characterization, 110-111, 2015 | 5 | 2015 |
Aamer Jaleel, NVIDIA Abdullah Muzahid, Texas A&M University Ajay Joshi, Boston University Akanksha Jain, Google A Alameldeen, A Ros, A Rico, A Javadi-Abhari, A Buyuktosunoglu, A Li, ... | | |
Adaptive and Speculative Slack Simulations of CMPs on CMPs J Chen, L Kumar Dabbiru, D Wong, M Annavaram, M Dubois Microarchitecture (MICRO), 2010 43rd Annual IEEE/ACM International Symposium …, 2010 | 34 | 2010 |
Approximating warps with intra-warp operand value similarity D Wong, NS Kim, M Annavaram 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 57 | 2016 |
Blockmaestro: Enabling programmer-transparent task-based execution in gpu systems AA Abdolrashidi, HA Esfeden, A Jahanshahi, K Singh, N Abu-Ghazaleh, ... 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 15 | 2021 |
BOW: Breathing operand windows to exploit bypassing in GPUs HA Esfeden, A Abdolrashidi, S Rahman, D Wong, N Abu-Ghazaleh 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 18 | 2020 |
Bringing GPU Accelerated Computing and Deep Learning to the Classroom J Bungo, D Wong Journal of Computational Science Education 12 (2), 21, 2021 | | 2021 |
Characterizing In-Kernel Observability of Latency-Sensitive Request-level Metrics with eBPF M Rezvani, A Jahanshahi, D Wong | | |
Coalescing Operand Register File for Graphical Processing Units N Abu-Ghazaleh, HA Esfeden, D Wong US Patent App. 17/424,468, 2022 | 3 | 2022 |
CoFRIS: Coordinated Frequency and Resource Scaling for GPU Inference Servers M Chow, D Wong Proceedings of the 14th International Green and Sustainable Computing …, 2023 | | 2023 |
CORF: Coalescing operand register file for GPUs H Asghari Esfeden, F Khorasani, H Jeon, D Wong, N Abu-Ghazaleh Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 42 | 2019 |
Cross-layer modeling and optimization for electromigration induced reliability T Kim, Z Sun, C Cook, H Zhao, R Li, D Wong, SXD Tan Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 9 | 2016 |
Dynsleep: Fine-grained power management for a latency-critical data center application CH Chou, D Wong, LN Bhuyan Proceedings of the 2016 International Symposium on Low Power Electronics and …, 2016 | 54 | 2016 |
Energy efficient task graph execution using compute unit masking in GPUs M Chow, K Ranganath, R Lerias, MS Carodan, D Wong 2021 IEEE/ACM Redefining Scalability for Diversely Heterogeneous …, 2021 | 2 | 2021 |
Energy Proportional Computing for Multi-Core and Many-Core Servers D Wong University of Southern California, 2015 | | 2015 |
Evaluating A Prototype KnightShift-enabled server D Wong, M Annavaram WEED'12: Workshop on Energy-Efficient Design, 2012 | 4 | 2012 |
Frequency regulation service provision in data center with computational flexibility W Wang, A Abdolrashidi, N Yu, D Wong Applied Energy 251, 113304, 2019 | 35 | 2019 |
GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks Y Wang, C Liu, D Wong, H Kim arXiv preprint arXiv:2406.05221, 2024 | | 2024 |
Gpu-nest: Characterizing energy efficiency of multi-gpu inference servers A Jahanshahi, HZ Sabzi, C Lau, D Wong IEEE Computer Architecture Letters 19 (2), 139-142, 2020 | 40 | 2020 |