Approximation-aware scheduling on heterogeneous multi-core architectures. - Cheng Tan 002; Thannirmalai Somu Muthukaruppan; Tulika Mitra; Lei Ju 001 (ASP-DAC, 2015)

Dnestmap: mapping deeply-nested loops on ultra-low power CGRAs. - Manupa Karunaratne; Cheng Tan 002; Aditi Kulkarni Mohite; Tulika Mitra; Li-Shiuan Peh (DAC, 2018)

Stitch: Fusible Heterogeneous Accelerators Enmeshed with Many-Core Architecture for Wearables. - Cheng Tan 002; Manupa Karunaratne; Tulika Mitra; Li-Shiuan Peh (ISCA, 2018)

Synergy: A HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC. - Guanwen Zhong; Akshat Dubey; Cheng Tan 002; Tulika Mitra (CoRR, 2018)

LOCUS: Low-Power Customizable Many-Core Architecture for Wearables. - Cheng Tan 002; Aditi Kulkarni Mohite; Vanchinathan Venkataramani; Manupa Karunaratne; Tulika Mitra; Li-Shiuan Peh (ACM Trans. Embed. Comput. Syst., 2018)

PyOCN: A Unified Framework for Modeling, Testing, and Evaluating On-Chip Networks. - Cheng Tan 002; Yanghui Ou; Shunning Jiang; Peitian Pan; Christopher Torng; Shady Agwa; Christopher Batten (ICCD, 2019)

Synergy: An HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC. - Guanwen Zhong; Akshat Dubey; Cheng Tan 002; Tulika Mitra (ACM Trans. Embed. Comput. Syst., 2019)

CQNN: a CGRA-based QNN Framework. - Tong Geng; Chunshu Wu; Cheng Tan 002; Bo Fang 002; Ang Li 006; Martin C. Herbordt (HPEC, 2020)

SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. - Marco Minutoli; Vito Giovanni Castellana; Cheng Tan 002; Joseph B. Manzano; Vinay Amatya; Antonino Tumeo; David Brooks 001; Gu-Yeon Wei (ICCAD, 2020)

OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs. - Cheng Tan 002; Chenhao Xie 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ICCD, 2020)

ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. - Cheng Tan 002; Chenhao Xie 001; Andres Marquez; Antonino Tumeo; Kevin J. Barker; Ang Li 006 (CoRR, 2020)

OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. - Cheng Tan 002; Nicolas Bohm Agostini; Jeff Zhang 001; Marco Minutoli; Vito Giovanni Castellana; Chenhao Xie 001; Tong Geng; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ASAP, 2021)

Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. - Jeff Jun Zhang; Nicolas Bohm Agostini; Shihao Song; Cheng Tan 002; Ankur Limaye; Vinay Amatya; Joseph B. Manzano; Marco Minutoli; Vito Giovanni Castellana; Antonino Tumeo; Gu-Yeon Wei; David Brooks 001 (ASAP, 2021)

AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators. - Cheng Tan 002; Chenhao Xie 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (DATE, 2021)

Ultra-Elastic CGRAs for Irregular Loop Specialization. - Christopher Torng; Peitian Pan; Yanghui Ou; Cheng Tan 002; Christopher Batten (HPCA, 2021)

A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. - Tong Geng; Chunshu Wu; Cheng Tan 002; Chenhao Xie 001; Anqi Guo; Pouya Haghi; Sarah Yuan He; Jiajia Li 001; Martin C. Herbordt; Ang Li 006 (HPEC, 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 002; Marco Minutoli; Vito Giovanni Castellana; Vinay Amatya; Joseph B. Manzano; Anup Das 001; Fabrizio Ferrandi; et al. (ICCAD, 2021)

DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. - Cheng Tan 002; Tong Geng; Chenhao Xie 001; Nicolas Bohm Agostini; Jiajia Li 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ICCD, 2021)

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. - Tong Geng; Chunshu Wu; Yongan Zhang; Cheng Tan 002; Chenhao Xie 001; Haoran You; Martin C. Herbordt; Yingyan Lin; Ang Li 006 (MICRO, 2021)

ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. - Cheng Tan 002; Chenhao Xie 001; Tong Geng; Andres Marquez; Antonino Tumeo; Kevin J. Barker; Ang Li 006 (IEEE Trans. Parallel Distributed Syst., 2021)

FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. - Anqi Guo; Tong Geng; Yongan Zhang; Pouya Haghi; Chunshu Wu; Cheng Tan 002; Yingyan Lin; Ang Li 006; Martin C. Herbordt (FCCM, 2022)

A Framework for Neural Network Inference on FPGA-Centric SmartNICs. - Anqi Guo; Tong Geng; Yongan Zhang; Pouya Haghi; Chunshu Wu; Cheng Tan 002; Yingyan Lin; Ang Li 006; Martin C. Herbordt (FPL, 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 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Ang Li 006; Joseph B. Manzano (PARMA-DITAM@HiPEAC, 2022)

DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. - Cheng Tan 002; Nicolas Bohm Agostini; Tong Geng; Chenhao Xie 001; Jiajia Li 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (HPCA, 2022)

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. - Nicolas Bohm Agostini; Serena Curzel; Vinay Amatya; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David R. Kaeli; Antonino Tumeo (ICCAD, 2022)

ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. - Cheng Tan 002; Thierry Tambe; Jeff Jun Zhang; Bo Fang 002; Tong Geng; Gu-Yeon Wei; David Brooks 001; Antonino Tumeo; Ganesh Gopalakrishnan; Ang Li 006 (ICS, 2022)

Bridging Python to Silicon: The SODA Toolchain. - Nicolas Bohm Agostini; Serena Curzel; Jeff Jun Zhang; Ankur Limaye; Cheng Tan 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Antonino Tumeo (IEEE Micro, 2022)

ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. - Yixuan Luo; Cheng Tan 002; Nicolas Bohm Agostini; Ang Li 006; Antonino Tumeo; Nirav Dave; Tong Geng (DAC, 2023)

VecPAC: A Vectorizable and Precision-Aware CGRA. - Cheng Tan 002; Deepak Patil; Antonino Tumeo; Gabriel Weisz; Steven K. Reinhardt; Jeff Zhang 001 (ICCAD, 2023)

FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. - Pouya Haghi; William Krska; Cheng Tan 002; Tong Geng; Po Hao Chen 002; Connor Greenwood; Anqi Guo; Thomas M. Hines; Chunshu Wu; Ang Li 006; Anthony Skjellum; Martin C. Herbordt (ICS, 2023)

MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CoRR, 2023)

Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CLUSTER, 2024)

FHE-CGRA: Enable Efficient Acceleration of Fully Homomorphic Encryption on CGRAs. - Miaomiao Jiang; Yilan Zhu; Honghui You; Cheng Tan 002; Zhaoying Li; Jiming Xu; Lei Ju 001 (DAC, 2024)

SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. - Pouya Haghi; Cheng Tan 002; Anqi Guo; Chunshu Wu; Dongfang Liu; Ang Li 006; Anthony Skjellum; Tong Geng; Martin C. Herbordt (ICS, 2024)

Fused Functional Units for Area-Efficient CGRAs. - Ron Jokai; Cheng Tan 002; Jeff Jun Zhang (ISQED, 2024)

ICED: An Integrated CGRA Framework Enabling DVFS-Aware Acceleration. - Cheng Tan 002; Miaomiao Jiang; Deepak Patil; Yanghui Ou; Zhaoying Li; Lei Ju 001; Tulika Mitra; Hyunchul Park; Antonino Tumeo; Jeff Zhang 001 (MICRO, 2024)

Enhancing CGRA Efficiency Through Aligned Compute and Communication Provisioning. - Zhaoying Li; Pranav Dangi; Chenyang Yin; Thilini Kaushalya Bandara; Rohan Juneja; Cheng Tan 002; Zhenyu Bai; Tulika Mitra (ASPLOS (1), 2025)

PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs. - Jiajun Qin; Tianhua Xia; Cheng Tan 002; Jeff Zhang 001; Sai Qian Zhang (ASPLOS (2), 2025)