Publications

Suhail Basalama, Jason Cong (2025). Stream-HLS: Towards Automatic Dataflow Acceleration. In FPGA'25 (Best Paper Candidate ★).

Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong (2024). TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs. In ASPLOS'24.

Suhail Basalama, Jie Wang, Jason Cong (2023). A Comprehensive Automated Exploration Framework for Systolic Array Designs. In DAC'23.

Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Licheng Guo, Jason Cong (2023). FlexCNN: An end-to-end framework for composing CNN accelerators on FPGA. In TRETS'23.

Linghao Song, Licheng Guo, Suhail Basalama, Yuze Chi, Robert F. Lucas, Jason Cong (2023). Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver. In FPGA'23.

Suhail Basalama, Atefeh Sohrabizadeh, Jie Wang, Jason Cong (2022). A Versatile Systolic Array for Transposed and Dilated Convolution on FPGA. In FCCM'22.

Atiyehsadat Panahi, Suhail Basalama, Ange-Thierry Ishimwe, David Andrews (2021). A Customizable Domain-Specific Memory-Centric FPGA Overlay for Machine Learning Applications. In FPL'21.

Suhail Basalama, Atiyehsadat Panahi, Ange-Thierry Ishimwe, David Andrews (2020). SPAR-2: A SIMD Processor Array for Machine Learning in IoT Devices. In ICDIS'24.