Cheng Tan

According to our database, Cheng Tan authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fused Functional Units for Area-Efficient CGRAs.

Ron Jokai, Cheng Tan, Jeff Jun Zhang

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications.

Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

FHE-CGRA: Enable Efficient Acceleration of Fully Homomorphic Encryption on CGRAs.

Miaomiao Jiang, Yilan Zhu, Honghui You, Cheng Tan, Zhaoying Li, Jiming Xu, Lei Ju

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience.

Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications.

Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li

CoRR, 2023

FLASH: FPGA-Accelerated Smart Switches with GCN Case Study.

Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po-Hao Chen, Connor Greenwood, Anqi Guo, Thomas M. Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt

Proceedings of the 37th International Conference on Supercomputing, 2023

VecPAC: A Vectorizable and Precision-Aware CGRA.

Cheng Tan, Deepak Patil, Antonino Tumeo, Gabriel Weisz, Steven K. Reinhardt, Jeff Zhang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs.

Yixuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Bridging Python to Silicon: The SODA Toolchain.

Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo

IEEE Micro, 2022

ASAP: automatic synthesis of area-efficient and precision-aware CGRAs.

Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration.

Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs.

Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

SO(DA)²: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk).

Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano

Proceedings of the 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2022

A Framework for Neural Network Inference on FPGA-Centric SmartNICs.

Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks.

Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

2021

ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing.

Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li

IEEE Trans. Parallel Distributed Syst., 2021

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization.

Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications.

Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.

Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs.

Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Ultra-Elastic CGRAs for Irregular Loop Specialization.

Christopher Torng, Peitian Pan, Yanghui Ou, Cheng Tan, Christopher Batten

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators.

Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis.

Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays.

Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing.

Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li

CoRR, 2020

OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs.

Cheng Tan, Chenhao Xie, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators.

Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

CQNN: a CGRA-based QNN Framework.

Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

Synergy: An HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC.

Guanwen Zhong, Akshat Dubey, Cheng Tan, Tulika Mitra

ACM Trans. Embed. Comput. Syst., 2019

PyOCN: A Unified Framework for Modeling, Testing, and Evaluating On-Chip Networks.

Cheng Tan, Yanghui Ou, Shunning Jiang, Peitian Pan, Christopher Torng, Shady Agwa, Christopher Batten

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

2018

LOCUS: Low-Power Customizable Many-Core Architecture for Wearables.

Cheng Tan, Aditi Kulkarni Mohite, Vanchinathan Venkataramani, Manupa Karunaratne, Tulika Mitra, Li-Shiuan Peh

ACM Trans. Embed. Comput. Syst., 2018

Synergy: A HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC.

Guanwen Zhong, Akshat Dubey, Cheng Tan, Tulika Mitra

CoRR, 2018

Stitch: Fusible Heterogeneous Accelerators Enmeshed with Many-Core Architecture for Wearables.

Cheng Tan, Manupa Karunaratne, Tulika Mitra, Li-Shiuan Peh

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

Dnestmap: mapping deeply-nested loops on ultra-low power CGRAs.

Manupa Karunaratne, Cheng Tan, Aditi Kulkarni Mohite, Tulika Mitra, Li-Shiuan Peh

Proceedings of the 55th Annual Design Automation Conference, 2018

2015

Approximation-aware scheduling on heterogeneous multi-core architectures.

Cheng Tan, Thannirmalai Somu Muthukaruppan, Tulika Mitra, Lei Ju

Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015