GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing von Dai, Guohao, Huang, Tianhao, Chi, Yuze, Zhao, Jishen, Sun, Guangyu, Liu, Yongpan, Wang, Yu, Xie, Yuan, Yang, Huazhong

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FLASH: Fast, Parallel, and Accurate Simulator for HLS von Choi, Young-Kyu, Chi, Yuze, Wang, Jie, Cong, Jason

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TARO: Automatic Optimization for Free-Running Kernels in FPGA High-Level Synthesis von Choi, Young-Kyu, Chi, Yuze, Lau, Jason, Cong, Jason

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RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis von Lau, Jason, Xiao, Yuanlong, Xie, Yutong, Yuze Chi, Song, Linghao, Xiang, Shaojie, Lo, Michael, Zhang, Zhiru, Cong, Jason, Guo, Licheng

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Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver von Song, Linghao, Guo, Licheng, Basalama, Suhail, Yuze Chi, Lucas, Robert F, Cong, Jason

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SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs von Tian, Xingyu, Ye, Zhifan, Lu, Alec, Guo, Licheng, Chi, Yuze, Fang, Zhenman

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TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design von Guo, Licheng, Chi, Yuze, Lau, Jason, Song, Linghao, Tian, Xingyu, Khatti, Moazin, Qiao, Weikang, Wang, Jie, Ustun, Ecenur, Fang, Zhenman, Zhang, Zhiru, Cong, Jason

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PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs von Khatti, Moazin, Tian, Xingyu, Sedigh Baroughi, Ahmad, Raj Baranwal, Akhil, Chi, Yuze, Guo, Licheng, Cong, Jason, Fang, Zhenman

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RapidStream 2.0: Automated Parallel Implementation of Latency–Insensitive FPGA Designs Through Partial Reconfiguration von Guo, Licheng, Maidee, Pongstorn, Zhou, Yun, Lavin, Chris, Hung, Eddie, Li, Wuxi, Lau, Jason, Qiao, Weikang, Chi, Yuze, Song, Linghao, Xiao, Yuanlong, Kaviani, Alireza, Zhang, Zhiru, Cong, Jason

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TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design von Guo, Licheng, Yuze Chi, Lau, Jason, Song, Linghao, Tian, Xingyu, Khatti, Moazin, Qiao, Weikang, Wang, Jie, Ecenur Ustun, Fang, Zhenman, Zhang, Zhiru, Cong, Jason

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NXgraph: An Efficient Graph Processing System on a Single Machine von Yuze Chi, Dai, Guohao, Wang, Yu, Sun, Guangyu, Li, Guoliang, Yang, Huazhong

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TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs von Prakriya, Neha, Chi, Yuze, Basalama, Suhail, Song, Linghao, Cong, Jason

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SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation von Sohrabizadeh, Atefeh, Chi, Yuze, Cong, Jason

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Pyxis: An Open-Source Performance Dataset of Sparse Accelerators von Song, Linghao, Chi, Yuze, Cong, Jason

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Democratizing Domain-Specific Computing von Chi, Yuze, Qiao, Weikang, Sohrabizadeh, Atefeh, Wang, Jie, Cong, Jason

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Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication von Song, Linghao, Chi, Yuze, Guo, Licheng, Cong, Jason

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SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs von Tian, Xingyu, Ye, Zhifan, Lu, Alec, Guo, Licheng, Chi, Yuze, Fang, Zhenman

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TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs von Prakriya, Neha, Yuze Chi, Basalama, Suhail, Song, Linghao, Cong, Jason

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Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication von Song, Linghao, Chi, Yuze, Sohrabizadeh, Atefeh, Choi, Young-kyu, Lau, Jason, Cong, Jason

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Pyxis: An Open-Source Performance Dataset of Sparse Accelerators von Song, Linghao, Yuze Chi, Cong, Jason

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