Memory-centric architectures for large-scale AI workloads (e.g., LLMs, recommendation systems)
Near- and in-memory computing to reduce data movement and improve system efficiency
Cross-layer performance modeling and design methodologies for next-generation computing systems
Bridging device-to-system abstractions for end-to-end optimization of emerging AI hardware
[1] Heewoo Kim, Sanjay Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor Mudge, Ronald G. Dreslinski, Nishil Talati, “NMP-PaK: Near-memory processing acceleration of scalable de novo genome assembly,” ISCA (2025) [link]
[2] Heewoo Kim, Alan La, and Joseph Izraelevitz, “Enabling cost-efficient LLM inference on mid-tier GPUs with NMP DIMMs,” CAL (2025) [link]
[3] Mingyao Shen, Suyash Mahar, Heewoo Kim, Joseph Izraelevitz, Steven Swanson, "AutoSSD: CXL-enhanced autonomous SSDs for low tail latency," HPDC (2025) [link]
[4] Ange-Thierry Ishimwe, Raghuveer Shivakumar, Heewoo Kim, Tamara Lehman, Joseph Izraelevitz, "PrediPrune: Reducing verification overhead in Souper with machine learning driven pruning," arXiv preprint (2025) [link]
[5] Heewoo Kim, Haojie Ye, Trevor Mudge, Ronald G. Dreslinski, Nishil Talati, “RecPIM: A PIM-enabled DRAM-RRAM hybrid memory system for recommendation models,” ISLPED (2023) [link]
[6] Heewoo Kim, Javad Bagherzadeh, Ronald G. Dreslinski, “SiC processors for extreme high-temperature Venus surface exploration,” DATE (2022) [link]
[7] Heewoo Kim, Aporva Amarnath, Javad Bagherzadeh, Nishil Talati, Ronald G. Dreslinski, “A survey describing beyond Si transistors for non-experts, and exploring their implications for future processors,” ACM Journal on Emerging Technologies in Computing Systems (2021) [link]
[8] Ugo Otuonye, Heewoo Kim and Wei D. Lu, “Ge nanowire photodetector with high photoconductive gain epitaxially integrated on Si substrate,” Applied Physics Letters (2017) [link]
[1] Heewoo Kim, Haojie Ye, Trevor Mudge, Ronald G. Dreslinski, Nishil Talati, “DRAM-RRAM hybrid memory system for recommendation models,” US Patent 12,399,946 [link]
Qualcomm Technologies, Inc Nuvia (Oct. 2025 to present)
SoC performance architect
Intel Corporation, Remote (Jul. 2021 to Oct. 2021)
Graduate student intern in Xeon performance team
Conducted the cache size sensitivity study of future Xeon processors with performance model simulation.
Kwanjeong Educational Foundation Scholarship (2017 – 2021)
Jeongsong Cultural Foundation Overseas Scholarship (2015 – 2017)
National Science and Engineering/Humanities Scholarship (2009 – 2015)
ECEN 3593: Computer Organization - University of Colorado (2025 Spring)
Main instructor
EECS 314: Electrical Circuits, Systems, and Applications - University of Michigan (2023 Fall)
Leading the discussion and experiment lab sessions as a graduate student instructor