Gregory K. Chen

996 citations

22 papers · 723 indexed · h-index 12

Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 4
Electrical and Electronic Engineering top 5%
- Advanced Memory and Neural Computing 10
- Low-power high-performance VLSI design 6
- Ferroelectric and Negative Capacitance Devices 5
- Advancements in Semiconductor Devices and Circuit Design 4
- Semiconductor materials and devices 4
Cellular and Molecular Neuroscience top 10%
Cognitive Neuroscience
- Neural dynamics and brain function 2
Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing 2

Co-authors: Ram Krishnamurthy Phil Knag Raghavan Kumar H. Ekin Sumbul Dennis Sylvester David Blaauw Mark Anders Himanshu Kaul
Cited by: Hardware and Architecture Electrical and Electronic Engineering Cellular and Molecular Neuroscience
Journals: IEEE Journal of Solid-State Circuits (6 papers)IEEE Solid-State Circuits Letters (2 papers)2022 IEEE International Solid- State Circuits Conference (ISSCC) (1 paper)
Partner nations: United States United Kingdom South Korea

In The Last Decade

Gregory K. Chen

21 papers receiving 715 citations

Peers

Countries citing papers authored by Gregory K. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Gregory K. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory K. Chen. 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 Gregory K. Chen. The network helps show where Gregory K. Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gregory K. Chen, 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 Gregory K. Chen Line = papers co-authored together Gregory K. Chen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	T-REX: A 68-to-567μs/Token 0.41-to-3.95μJ/Token Transformer Accelerator with Reduced External Memory Access and Enhanced Hardware Utilization in 16nm FinFET Saracco Giorgio Maria,Caren Andika Surbakti,Gregory K. Chen,Phil Knag,Ram Krishnamurthy,Mingoo Seok	2025	4
2	T-REX: Hardware–Software Co-Optimized Transformer Accelerator With Reduced External Memory Access and Enhanced Hardware Utilization IEEE Journal of Solid-State Circuits ·Saracco Giorgio Maria,Caren Andika Surbakti,Gregory K. Chen,Phil Knag,Ram Krishnamurthy,Mingoo Seok	2025	0
3	DIMCA: An Area-Efficient Digital In-Memory Computing Macro Featuring Approximate Arithmetic Hardware in 28 nm IEEE Journal of Solid-State Circuits ·Jackie Ho,Dewei Wang,Ahmad Ibrahim Syahrul,Gregory K. Chen,Phil Knag,Ram Krishnamurthy,Mingoo Seok	2023	11
4	An 8-core RISC-V Processor with Compute near Last Level Cache in Intel 4 CMOS 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) ·Gregory K. Chen,Phil Knag,Carlos Tokunaga,Ram Krishnamurthy	2022	3
5	DIMC: 2219TOPS/W 2569F2/b Digital In-Memory Computing Macro in 28nm Based on Approximate Arithmetic Hardware 2022 IEEE International Solid- State Circuits Conference (ISSCC) ·Dewei Wang,Jackie Ho,Gregory K. Chen,Phil Knag,Ram Krishnamurthy,Mingoo Seok	2022	68
6	An Eight-Core RISC-V Processor With Compute Near Last Level Cache in Intel 4 CMOS IEEE Journal of Solid-State Circuits ·Gregory K. Chen,Phil Knag,Carlos Tokunaga,Ram Krishnamurthy	2022	11
7	A 4900-$\mu$ m² 839-Mb/s Side-Channel Attack- Resistant AES-128 in 14-nm CMOS With Heterogeneous Sboxes, Linear Masked MixColumns, and Dual-Rail Key Addition IEEE Journal of Solid-State Circuits ·Raghavan Kumar,Vikram Suresh,Monodeep Kar,Sudhir Satpathy,Mark Anders,Himanshu Kaul,Amit Agarwal,Steven Hsu,Gregory K. Chen,Ram Krishnamurthy,Vivek De,Sanu Mathew	2020	17
8	A 9.0-TOPS/W Hash-Based Deep Neural Network Accelerator Enabling 128× Model Compression in 10-nm FinFET CMOS IEEE Solid-State Circuits Letters ·Raghavan Kumar,Gregory K. Chen,H. Ekin Sumbul,Phil Knag,Mark Anders,Himanshu Kaul,Steven K. Hsu,Amit Agarwal,Monodeep Kar,Seongjong Kim,Vikram Suresh,Ram Krishnamurthy,Vivek De,Sanu Mathew	2020	3
9	25.9 Reconfigurable Transient Current-Mode Global Interconnect Circuits in 10nm CMOS for High-Performance Processors with Wide Voltage-Frequency Operating Range Mark Anders,Himanshu Kaul,Seongjong Kim,Gregory K. Chen,Raghavan Kumar,H. Ekin Sumbul,Phil Knag,Monodeep Kar,Steven K. Hsu,Amit Agarwal,Vikram Suresh,Sanu Mathew,Ram Krishnamurthy,Vivek De	2020	3
10	A 2.9–33.0 TOPS/W Reconfigurable 1-D/2-D Compute-Near-Memory Inference Accelerator in 10-nm FinFET CMOS IEEE Solid-State Circuits Letters ·H. Ekin Sumbul,Gregory K. Chen,Phil Knag,Raghavan Kumar,Mark Anders,Himanshu Kaul,Steven K. Hsu,Amit Agarwal,Monodeep Kar,Seongjong Kim,Ram Krishnamurthy	2020	5
11	A 617-TOPS/W All-Digital Binary Neural Network Accelerator in 10-nm FinFET CMOS IEEE Journal of Solid-State Circuits ·Phil Knag,Gregory K. Chen,H. Ekin Sumbul,Raghavan Kumar,Steven K. Hsu,Amit Agarwal,Monodeep Kar,Seongjong Kim,Mark Anders,Himanshu Kaul,Ram Krishnamurthy	2020	25
12	A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS IEEE Journal of Solid-State Circuits ·Gregory K. Chen,Raghavan Kumar,H. Ekin Sumbul,Phil Knag,Ram Krishnamurthy	2018	148
13	A 4096-Neuron 1M-Synapse 3.8PJ/SOP Spiking Neural Network with On-Chip STDP Learning and Sparse Weights in 10NM FinFET CMOS Gregory K. Chen,Raghavan Kumar,H. Ekin Sumbul,Phil Knag,Ram Krishnamurthy	2018	20
14	Algorithm and hardware design of discrete-time spiking neural networks based on back propagation with binary activations Shihui Yin,Sonya Heins,Gregory K. Chen,Ram Krishnamurthy,Yu Cao,Chaitali Chakrabarti,Jae-sun Seo	2017	41
15	16.2 A 0.19pJ/b PVT-variation-tolerant hybrid physically unclonable function circuit for 100% stable secure key generation in 22nm CMOS Sanu Mathew,Sudhir Satpathy,Mark Anders,Himanshu Kaul,Steven K. Hsu,Amit Agarwal,Gregory K. Chen,Rachael J. Parker,Ram Krishnamurthy,Vivek De	2014	192
16	A 128kb high density portless SRAM using hierarchical bitlines and thyristor sense amplifiers Michael Wieckowski,Gregory K. Chen,Daeyeon Kim,David Blaauw,Dennis Sylvester	2011	6
17	Circuit design advances to enable ubiquitous sensing environments Mingoo Seok,Scott Hanson,Michael Wieckowski,Gregory K. Chen,Yu-Shiang Lin,David Blaauw,Dennis Sylvester	2010	2
18	Reconfigurable energy efficient near threshold cache architectures Ronald Dreslinski,Gregory K. Chen,Trevor Mudge,David Blaauw,Dennis Sylvester,Krisztián Flautner	2008	33
19	Yield-driven near-threshold SRAM design International Conference on Computer Aided Design ·Gregory K. Chen,David Blaauw,Trevor Mudge,Dennis Sylvester,Nam Sung Kim	2007	35
20	Yield-driven near-threshold SRAM design Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design ·Gregory K. Chen,David Blaauw,Trevor Mudge,Dennis Sylvester,Nam Sung Kim	2007	30

About Gregory K. Chen

Gregory K. Chen is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 723 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Low-power high-performance VLSI design (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Parallel Computing and Optimization Techniques (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Semiconductor materials and devices (4 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Hardware and Architecture (313 citations), Electrical and Electronic Engineering (647 citations), Cellular and Molecular Neuroscience (162 citations), Cognitive Neuroscience (83 citations) and Artificial Intelligence (132 citations). Gregory K. Chen has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Ram Krishnamurthy, Phil Knag, Raghavan Kumar, H. Ekin Sumbul, Dennis Sylvester, David Blaauw, Mark Anders, Himanshu Kaul, Amit Agarwal and Steven K. Hsu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters, 2022 IEEE International Solid- State Circuits Conference (ISSCC), 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) and Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design.

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