Gunjae Koo

544 total citations
28 papers, 374 citations indexed

About

Gunjae Koo is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gunjae Koo has authored 28 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 17 papers in Hardware and Architecture and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gunjae Koo's work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (17 papers) and Cloud Computing and Resource Management (4 papers). Gunjae Koo is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (17 papers) and Cloud Computing and Resource Management (4 papers). Gunjae Koo collaborates with scholars based in South Korea, United States and Switzerland. Gunjae Koo's co-authors include Murali Annavaram, Won Woo Ro, Hyeran Jeon, Keun‐Soo Kim, Phil Lee, Kiran Kumar Matam, Hung‐Wei Tseng, Steven Swanson, Jing Li and Nam Sung Kim and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and Electronics.

In The Last Decade

Gunjae Koo

23 papers receiving 365 citations

Peers

Gunjae Koo
B. Blaner United States
Mitesh R. Meswani United States
Jagadish Kotra United States
Grant Ayers United States
Akshay Venkatesh United States
Amir Kavyan Ziabari United States
Jayesh Gaur India
Xiaolong Xie China
Martin Dimitrov United States
Sudarsun Kannan United States
B. Blaner United States
Gunjae Koo
Citations per year, relative to Gunjae Koo Gunjae Koo (= 1×) peers B. Blaner

Countries citing papers authored by Gunjae Koo

Since Specialization
Citations

This map shows the geographic impact of Gunjae Koo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gunjae Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunjae Koo more than expected).

Fields of papers citing papers by Gunjae Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gunjae Koo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gunjae Koo. The network helps show where Gunjae Koo may publish in the future.

Co-authorship network of co-authors of Gunjae Koo

This figure shows the co-authorship network connecting the top 25 collaborators of Gunjae Koo. A scholar is included among the top collaborators of Gunjae Koo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gunjae Koo. Gunjae Koo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koo, Gunjae, et al.. (2025). TM-Training: An Energy-Efficient Tiered Memory System for Deep Learning Training in NPUs. ACM Transactions on Storage. 21(4). 1–26. 1 indexed citations
2.
Kim, J. H., et al.. (2025). MOST: Memory Oversubscription-Aware Scheduling for Tensor Migration on GPU Unified Storage. IEEE Computer Architecture Letters. 24(2). 213–216. 1 indexed citations
3.
Park, Jae‐Yong, et al.. (2024). SAVector: Vectored Systolic Arrays. IEEE Access. 12. 44446–44461. 2 indexed citations
4.
Kim, J. H., et al.. (2024). VitBit: Enhancing Embedded GPU Performance for AI Workloads through Register Operand Packing. 1012–1021. 1 indexed citations
5.
Koo, Gunjae, et al.. (2024). Adaptive Kernel Merge and Fusion for Multi-Tenant Inference in Embedded GPUs. IEEE Embedded Systems Letters. 16(4). 421–424.
6.
7.
Suh, Taeweon, et al.. (2023). Vizard: Passing Over Profiling-Based Detection by Manipulating Performance Counters. IEEE Access. 11. 48099–48112.
8.
Koo, Gunjae, et al.. (2022). FLIXR: Embedding Index Into Flash Translation Layer in SSDs. IEEE Transactions on Computers. 72(1). 250–263.
9.
Lee, Young Seo, et al.. (2022). Stealth ECC: A Data-Width Aware Adaptive ECC Scheme for DRAM Error Resilience. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 382–387. 6 indexed citations
10.
Lee, Jongmin & Gunjae Koo. (2022). Restore Buffer Overflow Attacks: Breaking Undo-Based Defense Schemes. 315–318. 1 indexed citations
11.
Lee, Jongmin, et al.. (2022). GhostLeg: Selective Memory Coalescing for Secure GPU Architecture. IEEE Access. 10. 111449–111462. 1 indexed citations
12.
Kim, Yoonsoo, et al.. (2020). Hi-End: Hierarchical, Endurance-Aware STT-MRAM-Based Register File for Energy-Efficient GPUs. IEEE Access. 8. 127768–127780. 7 indexed citations
13.
Matam, Kiran Kumar, et al.. (2019). GraphSSD. 116–128. 36 indexed citations
14.
Koo, Gunjae, et al.. (2019). Linebacker. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 183–196. 9 indexed citations
15.
Koo, Gunjae, Hyeran Jeon, Zhenhong Liu, Nam Sung Kim, & Murali Annavaram. (2018). CTA-Aware Prefetching and Scheduling for GPU. 137–148. 12 indexed citations
16.
Koo, Gunjae, et al.. (2017). Access Pattern-Aware Cache Management for Improving Data Utilization in GPU. ACM SIGARCH Computer Architecture News. 45(2). 307–319. 9 indexed citations
17.
Lee, Phil, Keun‐Soo Kim, Gunjae Koo, et al.. (2015). Warped-compression. ACM SIGARCH Computer Architecture News. 43(3S). 502–514. 13 indexed citations
18.
Lee, Phil, Keun‐Soo Kim, Gunjae Koo, et al.. (2015). Warped-compression. 502–514. 82 indexed citations
19.
Koo, Gunjae, et al.. (2011). Complementary block-based motion estimation for frame rate up-conversion. 523–524. 2 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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