
Yilun Xiao developed advanced hardware acceleration features in the rapidstream-org/rapidstream-tapa repository, focusing on Xilinx AI Engine (AIE) integration and memory-mapped I/O support. Over three months, Yilun implemented end-to-end AIE target flows, including code generation and pipeline handling in C++ and Python, to streamline Vitis-based FPGA workflows. He introduced robust memory-mapped input/output types and incremental I/O APIs, enabling high-fidelity cosimulation and more reliable data flow for AIE-based designs. His work included refactoring for AIE port stream support and improving target attribute handling, demonstrating depth in compiler development, embedded systems, and hardware description language tooling for dependable system integration.

March 2025 monthly summary for rapidstream-tapa: Delivered AIE Ports I/O Stream Support and robustness improvements, focusing on enabling iostreams for AIE ports and hardening AIE target handling. These changes improved data flow reliability and reduced risk of undefined depths in AIE connections, enabling more dependable rapidstream-tapa designs.
March 2025 monthly summary for rapidstream-tapa: Delivered AIE Ports I/O Stream Support and robustness improvements, focusing on enabling iostreams for AIE ports and hardening AIE target handling. These changes improved data flow reliability and reduced risk of undefined depths in AIE connections, enabling more dependable rapidstream-tapa designs.
January 2025 — Delivered Memory-Mapped I/O Support for Cosimulation (immap/ommap) in rapidstream-org/rapidstream-tapa. Added memory-mapped input/output types with read_only, write_only, and read_write access, and generalized window_readincr/window_writeincr for incremental I/O to enable cosimulation workflows. The change is captured in commit 31bed31b94c220ec693327500f201b747b2500bc, laying the foundation for faster, higher-fidelity verification and better reuse of memory-mapped models across components.
January 2025 — Delivered Memory-Mapped I/O Support for Cosimulation (immap/ommap) in rapidstream-org/rapidstream-tapa. Added memory-mapped input/output types with read_only, write_only, and read_write access, and generalized window_readincr/window_writeincr for incremental I/O to enable cosimulation workflows. The change is captured in commit 31bed31b94c220ec693327500f201b747b2500bc, laying the foundation for faster, higher-fidelity verification and better reuse of memory-mapped models across components.
December 2024 focused on delivering end-to-end Xilinx AI Engine (AIE) target support in TAPA and enabling seamless integration with Vitis workflows. The work enhances RapidStream’s capabilities for AI accelerator workflows, improving developer throughput and hardware utilization.
December 2024 focused on delivering end-to-end Xilinx AI Engine (AIE) target support in TAPA and enabling seamless integration with Vitis workflows. The work enhances RapidStream’s capabilities for AI accelerator workflows, improving developer throughput and hardware utilization.
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