Hyojin Sung

1.2k total citations
32 papers, 787 citations indexed

About

Hyojin Sung is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Hyojin Sung has authored 32 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hardware and Architecture, 21 papers in Computer Networks and Communications and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Hyojin Sung's work include Parallel Computing and Optimization Techniques (24 papers), Advanced Memory and Neural Computing (12 papers) and Distributed systems and fault tolerance (10 papers). Hyojin Sung is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Advanced Memory and Neural Computing (12 papers) and Distributed systems and fault tolerance (10 papers). Hyojin Sung collaborates with scholars based in United States, South Korea and United Kingdom. Hyojin Sung's co-authors include Sarita V. Adve, Rakesh Komuravelli, Vikram Adve, Robert L. Bocchino, Danny Dig, Stephen Heumann, Jeffrey Overbey, Mohsen Vakilian, Nima Honarmand and Ching-Tsun Chou and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Micro and IEEE Computer Architecture Letters.

In The Last Decade

Hyojin Sung

30 papers receiving 742 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyojin Sung United States 10 661 630 175 163 112 32 787
Rakesh Komuravelli United States 9 653 1.0× 614 1.0× 140 0.8× 160 1.0× 113 1.0× 20 762
Daniel Lustig United States 16 744 1.1× 647 1.0× 227 1.3× 145 0.9× 145 1.3× 35 872
Michel Steuwer United Kingdom 14 560 0.8× 406 0.6× 128 0.7× 160 1.0× 35 0.3× 51 655
Norman Rubin United States 13 348 0.5× 273 0.4× 76 0.4× 98 0.6× 49 0.4× 18 445
Yunlian Jiang United States 11 553 0.8× 540 0.9× 239 1.4× 76 0.5× 40 0.4× 21 663
Jamison D. Collins United States 20 1.3k 2.0× 1.1k 1.8× 291 1.7× 55 0.3× 289 2.6× 37 1.4k
Seung-Jai Min South Korea 10 504 0.8× 496 0.8× 174 1.0× 106 0.7× 44 0.4× 23 684
Isaac Gelado Spain 14 710 1.1× 684 1.1× 229 1.3× 70 0.4× 93 0.8× 27 852
D. Nakahira United States 7 712 1.1× 752 1.2× 99 0.6× 63 0.4× 207 1.8× 8 921
Rupesh Nasre India 10 408 0.6× 345 0.5× 198 1.1× 150 0.9× 43 0.4× 49 626

Countries citing papers authored by Hyojin Sung

Since Specialization
Citations

This map shows the geographic impact of Hyojin Sung'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 Hyojin Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyojin Sung more than expected).

Fields of papers citing papers by Hyojin Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyojin Sung. 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 Hyojin Sung. The network helps show where Hyojin Sung may publish in the future.

Co-authorship network of co-authors of Hyojin Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Hyojin Sung. A scholar is included among the top collaborators of Hyojin Sung 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 Hyojin Sung. Hyojin Sung 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.
Kang, Dae-Hwan, et al.. (2025). ATiM: Autotuning Tensor Programs for Processing-in-DRAM. 899–915.
2.
Park, Eunhyeok, et al.. (2024). Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders. 594–611. 3 indexed citations
3.
Kim, Jung Hoon, et al.. (2023). PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads. 1–9. 3 indexed citations
4.
Sung, Hyojin, et al.. (2022). Runtime Support for Accelerating CNN Models on Digital DRAM Processing-in-Memory Hardware. IEEE Computer Architecture Letters. 21(2). 33–36. 1 indexed citations
5.
Sung, Hyojin, et al.. (2021). Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. IEEE Computer Architecture Letters. 20(2). 171–174. 5 indexed citations
6.
Komuravelli, Rakesh, et al.. (2018). DeNovo: Rethinking Hardware for Disciplined Parallelism. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
7.
Jacob, Arpith C., Alexandre E. Eichenberger, Hyojin Sung, et al.. (2017). Efficient Fork-Join on GPUs Through Warp Specialization. 7 indexed citations
8.
Martineau, Matt, Simon McIntosh‐Smith, Carlo Bertolli, et al.. (2016). Performance analysis and optimization of Clang's OpenMP 4.5 GPU support. IEEE International Conference on High Performance Computing, Data, and Analytics. 54–64. 8 indexed citations
9.
Martineau, Matt, Simon McIntosh‐Smith, Carlo Bertolli, et al.. (2016). Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support. Bristol Research (University of Bristol). 54–64. 7 indexed citations
10.
Antão, Samuel, Arpith C. Jacob, Gheorghe-Teodor Bercea, et al.. (2016). Offloading Support for OpenMP in Clang and LLVM. 1–11. 22 indexed citations
11.
Bertolli, Carlo, Samuel Antão, Gheorghe-Teodor Bercea, et al.. (2015). Integrating GPU support for OpenMP offloading directives into Clang. 1–11. 27 indexed citations
12.
Sung, Hyojin & Sarita V. Adve. (2015). DeNovoSync. 545–559. 21 indexed citations
13.
Sung, Hyojin & Sarita V. Adve. (2015). DeNovoSync. ACM SIGPLAN Notices. 50(4). 545–559. 1 indexed citations
14.
Sung, Hyojin & Sarita V. Adve. (2015). DeNovoSync. ACM SIGARCH Computer Architecture News. 43(1). 545–559. 2 indexed citations
15.
Bercea, Gheorghe-Teodor, Carlo Bertolli, Samuel Antão, et al.. (2015). Performance analysis of OpenMP on a GPU using a CORAL proxy application. 1–11. 21 indexed citations
16.
Sung, Hyojin, Rakesh Komuravelli, & Sarita V. Adve. (2013). DeNovoND. ACM SIGARCH Computer Architecture News. 41(1). 13–26. 1 indexed citations
17.
Komuravelli, Rakesh, Hyojin Sung, Nima Honarmand, et al.. (2011). DeNovo: Rethinking the Memory Hierarchy for Disciplined Parallelism. 155–166. 123 indexed citations
18.
Komuravelli, Rakesh, Victor Lu, Hyojin Sung, et al.. (2010). Parallel SAH k-D tree construction. 77–86. 36 indexed citations
19.
Bocchino, Robert L., Vikram Adve, Danny Dig, et al.. (2009). A type and effect system for deterministic parallel Java. 97–116. 198 indexed citations
20.
Bocchino, Robert L., Vikram Adve, Danny Dig, et al.. (2009). A Type and Effect System for Deterministic Parallelism in Object-Oriented Languages. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 1 indexed citations

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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