During this summer in Xilinx, I participated in an open-source project, CIRCT (Circuit IR Compilers and Tools), which is an effort looking to apply MLIR and the LLVM development methodology to the domain of hardware design tools. I contributed to a dynamic scheduling based High-Level Synthesis (HLS) flow, and a StaticLogic dialect for representing statically scheduled circuits during the process of HLS. Now, we are excited to see that the CIRCT project officially becomes an incubator project of LLVM!
Our new paper “DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator” was accepted by ICCAD'20. This paper proposes a novel DNN accelerator design paradigm which can take advantage of both pipeline and generic structure, and proposes an efficient design space exploration (DSE) engine to generate the optimized DNN accelerator following the new paradigm. All accepted papers of ICCAD'20 are shown in this page.
Our new paper “HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation” was accepted by DAC'20. This paper proposes a novel hybrid Spatial / Winograd convolution architecture for the DNN acceleration on FPGA. All accepted papers of DAC'20 are shown in this page. Full paper download will be available before April.
Our team Musketeers and project “An FPGA IoT Sensor-Hub Based on RISC-V” just won the 1st place winner of the UNIGROUP (紫光) design track in the 2nd China College IC Competition (中国大学生集成电路创新创业大赛). In this project, we designed a multi-functional FPGA IoT sensor-hub with a RISC-V CPU and an RT-Thread real-time operating system.
Totally 9 different design tracks supported by ADI, ARM, IEEE, NI, Huawei, YMTC (长江存储), C-SKY (中天微), Vimicro (中星微), and UNIGROUP were opened, and more than 900 teams participated in this competition.