Kyle Rupnow

1.6k citations

51 papers · 1.0k indexed · h-index 19

Impact in

Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
Computer Networks and Communications top 2%
- Interconnection Networks and Systems
- Advanced Data Storage Technologies

Papers in ⓘ

Hardware and Architecture 37
- Embedded Systems Design Techniques 31
- Parallel Computing and Optimization Techniques 29
- VLSI and Analog Circuit Testing 7
Computer Networks and Communications 23
- Interconnection Networks and Systems 17
- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 4

Co-authors: Deming Chen (31 shared papers)Yun Liang (9 shared papers)Katherine Compton (10 shared papers)Xiaofan Zhang (6 shared papers)Wen‐mei Hwu (6 shared papers)Keith D. Underwood (3 shared papers)Yun Liang (6 shared papers)Wei Zuo (7 shared papers)
Journals: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (4 papers)ACM Transactions on Reconfigurable Technology and Systems (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Journal of Electrical and Computer Engineering (1 paper)
Partner nations: United States Singapore China

In The Last Decade

Kyle Rupnow

51 papers receiving 1.0k citations

Peers

Countries citing papers authored by Kyle Rupnow

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Rupnow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Rupnow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kyle Rupnow Line = papers co-authored together Kyle Rupnow links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	FPGA/DNN Co-Design Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen‐mei Hwu, Deming Chen	2019	119
2	Efficient GPU Spatial-Temporal Multitasking IEEE Transactions on Parallel and Distributed Systems ·Yun Liang, Huynh Phung Huynh, Kyle Rupnow, Rick Siow Mong Goh, Deming Chen	2014	82
3	Improving high level synthesis optimization opportunity through polyhedral transformations Wei Zuo, Yun Liang, Peng Li, Kyle Rupnow, Deming Chen, Jason Cong	2013	67
4	High-performance video content recognition with long-term recurrent convolutional network for FPGA Xiaofan Zhang, Xinheng Liu, Anand Ramachandran, Chuanhao Zhuge, Shibin Tang, Peng Ouyang, Zuofu Cheng, Kyle Rupnow, Deming Chen	2017	62
5	High‐Level Synthesis: Productivity, Performance, and Software Constraints Journal of Electrical and Computer Engineering ·Yun Liang, Kyle Rupnow, Yinan Li, Dongbo Min, N. Minh, Deming Chen	2012	60
6	Scientific Application Acceleration with Reconfigurable Functional Units Kyle Rupnow, Keith D. Underwood, Katherine Compton	2007	56
7	High level synthesis of stereo matching: Productivity, performance, and software constraints Kyle Rupnow, Yun Liang, Yinan Li, Dongbo Min, N. Minh, Deming Chen	2011	38
8	A real-time 3D sound localization system with miniature microphone array for virtual reality Shengkui Zhao, Saima Ahmed, Yun Liang, Kyle Rupnow, Deming Chen, Douglas L. Jones	2012	38
9	High Level Synthesis of Complex Applications Xinheng Liu, Yao Chen, Tan Nguyen, Swathi Gurumani, Kyle Rupnow, Deming Chen	2016	38
10	A study of high-level synthesis: Promises and challenges Kyle Rupnow, Yun Liang, Yinan Li, Deming Chen	2011	34
11	Hardware Acceleration of the Pair-HMM Algorithm for DNA Variant Calling Sitao Huang, J. Manikandan, Anand Ramachandran, Kyle Rupnow, Wen‐mei Hwu, Deming Chen	2017	33
12	Platform choices and design demands for IoT platforms: cost, power, and performance tradeoffs IET Cyber-Physical Systems Theory & Applications ·Deming Chen, Jason Cong, Swathi Gurumani, Wen‐mei Hwu, Kyle Rupnow, Zhiru Zhang	2016	33
13	Machine learning on FPGAs to face the IoT revolution International Conference on Computer Aided Design ·Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen	2017	31
14	An Accurate GPU Performance Model for Effective Control Flow Divergence Optimization Zheng Cui, Yun Liang, Kyle Rupnow, Deming Chen	2012	31
15	Fast and effective placement and routing directed high-level synthesis for FPGAs Hongbin Zheng, Swathi Gurumani, Kyle Rupnow, Deming Chen	2014	30
16	Machine learning on FPGAs to face the IoT revolution Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen	2017	23
17	Debugging and verifying SoC designs through effective cross-layer hardware-software co-simulation Keith A. Campbell, Leon He, Liwei Yang, Swathi Gurumani, Kyle Rupnow, Deming Chen	2016	22
18	Block, Drop or Roll(back): Alternative Preemption Methods for RH Multi-Tasking Kyle Rupnow, Wenyin Fu, Katherine Compton	2009	21
19	FCUDA-NoC: A Scalable and Efficient Network-on-Chip Implementation for the CUDA-to-FPGA Flow IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Yao Chen, Swathi Gurumani, Yun Liang, Guofeng Li, Donghui Guo, Kyle Rupnow, Deming Chen	2015	18
20	Real-time implementation and performance optimization of 3D sound localization on GPUs Design, Automation, and Test in Europe ·Yun Liang, Zheng Cui, Shengkui Zhao, Kyle Rupnow, Yihao Zhang, Douglas L. Jones, Deming Chen	2012	17

About Kyle Rupnow

Kyle Rupnow is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Software, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (31 papers), Parallel Computing and Optimization Techniques (29 papers), Interconnection Networks and Systems (17 papers), CCD and CMOS Imaging Sensors (11 papers), VLSI and Analog Circuit Testing (7 papers), Advanced Neural Network Applications (6 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Hardware and Architecture (604 citations), Computer Networks and Communications (442 citations), Computer Vision and Pattern Recognition (297 citations), Computational Mathematics (5 citations) and Signal Processing (66 citations). Kyle Rupnow has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Deming Chen, Yun Liang, Katherine Compton, Xiaofan Zhang, Wen‐mei Hwu, Keith D. Underwood, Yun Liang, Wei Zuo, Deming Chen and Anand Ramachandran. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Reconfigurable Technology and Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Electrical and Computer Engineering.

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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