Taeyoung Kong

Taeyoung Kong

Stanford University

H-index: 4

North America-United States

About Taeyoung Kong

Taeyoung Kong, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computer Architecture, Machine Learning, Hardware-Software Codesign.

His recent articles reflect a diverse array of research interests and contributions to the field:

Amber: A 16-nm System-on-Chip With a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra

Amber: Coarse-grained reconfigurable array-based soc for dense linear algebra acceleration

Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a coarse-grained reconfigurable array for flexible acceleration of dense linear algebra

Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers

Creating an agile hardware design flow

Taeyoung Kong Information

University

Position

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Citations(all)

84

Citations(since 2020)

84

Cited By

9

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Taeyoung Kong Skills & Research Interests

Computer Architecture

Machine Learning

Hardware-Software Codesign

Top articles of Taeyoung Kong

Amber: A 16-nm System-on-Chip With a Coarse-Grained Reconfigurable Array for Flexible Acceleration of Dense Linear Algebra

IEEE Journal of Solid-State Circuits

2023/9/22

Amber: A 367 GOPS, 538 GOPS/W 16nm SoC with a coarse-grained reconfigurable array for flexible acceleration of dense linear algebra

2022/6/12

Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays

2022 The 1st Workshop on Democratizing Domain-Specific Accelerators (WDDSA)

2022

See List of Professors in Taeyoung Kong University(Stanford University)

Co-Authors

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