Dua, Akshay, Li, Yixing, and Ren, Fengbo. Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing. Retrieved from https://par.nsf.gov/biblio/10205537. IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) . Web. doi:10.1109/FCCM48280.2020.00064.

Dua, Akshay, Li, Yixing, & Ren, Fengbo. Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing. IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), (). Retrieved from https://par.nsf.gov/biblio/10205537. https://doi.org/10.1109/FCCM48280.2020.00064

Dua, Akshay, Li, Yixing, and Ren, Fengbo. "Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing". IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) (). Country unknown/Code not available. https://doi.org/10.1109/FCCM48280.2020.00064. https://par.nsf.gov/biblio/10205537.

@article{osti_10205537,
place = {Country unknown/Code not available}, title = {Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing}, url = {https://par.nsf.gov/biblio/10205537}, DOI = {10.1109/FCCM48280.2020.00064}, abstractNote = {}, journal = {IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)}, author = {Dua, Akshay and Li, Yixing and Ren, Fengbo}, editor = {null} }