HELLO, I'M

Tony Geng

Assistant Professor @ University of Rochester

About Tony

MY BACKGROUND

Dr. Tony Geng will join the ECE department at the University of Rochester as a tenure-track assistant professor in the fall of 2022. Before joining Rochester, Tony worked in the Physical & Computational Sciences Directorate (PCSD) at the Pacific Northwest National Laboratory (PNNL) which is operated by the Department of Energy of the US government for 2 years. He received his Ph.D. in Computer Engineering at Boston University in 2020. His research interests are at the intersection of computer architecture & systems, machine learning, graph intelligence, and high-performance computing. He is the finalist for the Best Thesis Award of BU in 2021 and the recipient of the Outstanding Postdoc Award at PNNL in 2021. He has served on the TPC of top-tier conferences, e.g. HPCA, IPDPS, etc. Tony has published 45 papers and his papers have appeared in many prestigious conferences and journals including MICRO, HPCA, DAC, SC, TPDS, TC, ICS, etc.

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To prospective students:

I am always looking for self-motivated Ph.D. students, Master's students, and long-term interns (over 6 months) to work on next-generation hardware architectures & systems for AI, graph intelligence, ML, and their applications including Fintech, Recommendation systems, Social media, and Drug discovery. Please drop me an email with your CV and transcripts if you are interested.

Selected Publications

​   2022:

• [HPCA 2022] H.You*, T.Geng*, Y.Zhang, A.Li, Y.Lin: "GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design", The 28th IEEE International Symposium on HighPerformance Computer Architecture.

• [HPCA 2022] C.Tan, N.B.Agostini, T.Geng, C.Xie, J.Li, A.Li, K.Barker, A.Tumeo: "DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs", The 28th IEEE International Symposium on High-Performance Computer Architecture.

• [DAC 2022] H. Peng, ..., T.Geng, ..., C.Ding: "A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining", The 58th Design Automation Conference.​

• [ICS 2022] C.Zhang, S.Jin, T.Geng, J.Tian, A.Li, D.Tao: "Accelerating Parallel I/O Via Hardware-Algorithm Co-Designed Adaptive Lossy Compression", the 36th ACM International Conference on Supercomputing.

• [ICS 2022] C.Tan, T.Tembe, J.Zhang, B.Fang, T.Geng, G.Wei, D.Brooks, A.Tumeo, G.Gopalakrishnan A.Li: "ASAP - Automatic Synthesis of Area-Efficient and  Precision-Aware CGRA", the 36th ACM International Conference on Supercomputing.

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   2021:

• [MICRO 2021] T.Geng, C.Wu, ..., M.Herbordt, Y.Lin, A.Li: "I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization", the 54th IEEE/ACM International Symposium on Microarchitecture.

• [TPDS 2021] T.Geng, T.Wang, C.Wu, Y.Li, ..., A.Li, M.Herbordt: "O3BNN-R: An Out-Of-Order Architecture for HighPerformance and Regularized BNN inference", IEEE Transactions on Parallel and Distributed Systems.

• [TPDS 2021] C.Tan, C.Xie, T.Geng, ..., K.Barker, A.Li: "ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing", IEEE Transactions on Parallel and Distributed Systems.

• [SC 2021] B.Feng, Y.Wang, T.Geng, A.Li, Y.Ding: "APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores", Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis.

• [ICCAD 2021] Y.Zhang, H.You, Y.Fu, T.Geng, A.Li, Y.Lin: "G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency", 2021 International Conference On Computer Aided Design.

• [ICCAD 2021] D.Manu, ..., T.Geng, A.Li, C.Ding, W.Jiang, L.Yang: "BFL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery", 2021 International Conference On Computer Aided Design.

• [ICCAD 2021] H.Peng, ..., T.Geng, A.Li, J.Bi, M.Song, W.Jiang, H.Liu, C.Ding: "Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search", 2021 International Conference On Computer Aided Design.

• [ICCD 2021] C.Tan, T.Geng, C.Xie, N.Agostini, J.Li, A.Li, K.Barker, A.Tumeo: "DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications", the 39th IEEE International Conference on Computer Design. (Best Paper Award)

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   2020:

• [MICRO 2020] T.Geng, A.Li, T.Wang, C.Wu, Y.Li, ..., M.Herbordt: "AWB-GCN: A Hardware Accelerator of GraphConvolution-Network through Runtime Workload Rebalancing", the 53rd IEEE/ACM International Symposium on Microarchitecture.

• [TC 2020] T.Geng*, T.Wang*, A.Li, X.Jin, M.Herbordt: "FPDeep: Scalable Acceleration of CNN Training on DeeplyPipelined FPGA Clusters", IEEE Transactions on Computers. 

• [ICS 2020] T.Geng*, R.Shi*, P.Dong*, ..., M.Herbordt, A.Li, Y.Wang: "CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks", the 34th ACM International Conference on Supercomputing.

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   2019:

• [ICS 2019] T.Geng, T.Wang, C.Wu, C.Yang, W.Wu, A.Li, M.Herbordt: "O3BNN: An Out-Of-Order Architecture for High-Performance Binarized Neural Network Inference with Fine-Grained Pruning", the 33th ACM International Conference on Supercomputing.

• [SC 2019] A.Li, T.Geng, T.Wang, M.Herbordt, S.Song, K.Barker: "BSTC: A Novel BinarizedSoft-Tensor-Core Design for Accelerating Bit-Based Approximated Neural Nets", Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis.

• [SC 2019] C.Yang, T.Geng, T.Wang, ..., M.Herbordt: "Fully integrated FPGA molecular dynamics simulations", Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis.

Projects

Professional Services

News

06/2022 Three papers are accepted by FPL 2022.

04/2022 Two papers are accepted by ICS 2022.

03/2022 Tony gave an invited talk at George Mason University.

03/2022 Tony gave an invited talk at Umass Boston.

02/2022 One paper is accepted by DAC 2022.

02/2022 Tony gave an invited talk at the University of Connecticut.

02/2022 Tony gave an invited talk at Northwestern University.

02/2022 Tony gave an invited talk at William & Mary.

02/2022 Tony gave an invited talk at the University of Rochester.

02/2022 Tony gave an invited talk at Fordham University.

01/2022 Tony gave an invited talk at Illinois Institute of Technology.

12/2021 Tony gave an invited talk at Rensselaer Polytechnic Institute.

12/2021 Two papers are accepted by HPCA 2022.