Eric Qin

Eric Qin

Georgia Institute of Technology

H-index: 7

North America-United States

About Eric Qin

Eric Qin, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of computer architecture, domain specific accelerators.

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

Vegeta: Vertically-integrated extensions for sparse/dense gemm tile acceleration on cpus

Building Efficient Tensor Accelerators for Sparse and Irregular Workloads

Enabling flexibility for sparse tensor acceleration via heterogeneity

Self adaptive reconfigurable arrays (SARA) learning flexible GEMM accelerator configuration and mapping-space using ML

A taxonomy for classification and comparison of dataflows for gnn accelerators

Clock Delivery Network Design and Analysis for Interposer-Based 2.5-D Heterogeneous Systems

RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats

Eric Qin Information

University

Position

___

Citations(all)

517

Citations(since 2020)

516

Cited By

76

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Eric Qin Skills & Research Interests

computer architecture

domain specific accelerators

Top articles of Eric Qin

Title

Journal

Author(s)

Publication Date

Vegeta: Vertically-integrated extensions for sparse/dense gemm tile acceleration on cpus

Geonhwa Jeong

Sana Damani

Abhimanyu Rajeshkumar Bambhaniya

Eric Qin

Christopher J Hughes

...

2023/2/25

Building Efficient Tensor Accelerators for Sparse and Irregular Workloads

Eric Qin

2022/3/17

Enabling flexibility for sparse tensor acceleration via heterogeneity

arXiv preprint arXiv:2201.08916

Eric Qin

Raveesh Garg

Abhimanyu Bambhaniya

Michael Pellauer

Angshuman Parashar

...

2022/1/21

Self adaptive reconfigurable arrays (SARA) learning flexible GEMM accelerator configuration and mapping-space using ML

Ananda Samajdar

Eric Qin

Michael Pellauer

Tushar Krishna

2022/7/10

A taxonomy for classification and comparison of dataflows for gnn accelerators

Raveesh Garg

Eric Qin

Francisco Muñoz Martínez

Robert Guirado

Akshay Jain

...

2021/3/1

Clock Delivery Network Design and Analysis for Interposer-Based 2.5-D Heterogeneous Systems

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Gauthaman Murali

Heechun Park

Eric Qin

Hakki Mert Torun

Majid Ahadi Dolatsara

...

2021/2/24

RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU

Geonhwa Jeong

Eric Qin

Ananda Samajdar

Christopher J Hughes

Sreenivas Subramoney

...

2021/12/5

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats

Eric Qin

Geonhwa Jeong

William Won

Sheng-Chun Kao

Hyoukjun Kwon

...

2021/5/17

Architecture, chip, and package codesign flow for interposer-based 2.5-D chiplet integration enabling heterogeneous IP reuse

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Jinwoo Kim

Gauthaman Murali

Heechun Park

Eric Qin

Hyoukjun Kwon

...

2020/8/24

Utilizing Spatial Accelerators for Machine Learning and Linear Algebra Kernels.

Gordon Euhyun Moon

Sivasankaran Rajamanickam

Tushar Krishna

Hyoukjun Kwon

Prasanth Chatarasi

...

2020/5/1

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training

Eric Qin

Ananda Samajdar

Hyoukjun Kwon

Vineet Nadella

Sudarshan Srinivasan

...

2020/2

See List of Professors in Eric Qin University(Georgia Institute of Technology)

Co-Authors

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