The growing demand for domain-specific accelerators in fields such as machine learning, graph analytics, and scientific computing has highlighted the need for productive and efficient hardware design methodologies. High-level synthesis (HLS) offers an attractive solution by generating hardware from high-level code, with loop pipelining as a cornerstone for maximizing throughput in regular computations. However, existing static and dynamic HLS approaches fail to achieve high pipeline utilization for irregular loop nests characterized by data-dependent bounds, unpredictable memory access patterns, and loop-carried dependencies.To address the pipeline underutilization in irregular loop, this work proposes a new barrier-free pipeline architecture with a cross-level scheduling strategy and the corresponding HLS compiler Selene, that automatically synthesizes the proposed architecture. Our approach introduces a fine-grained pipeline controller and an outer-loop iteration interleaving mechanism, enabling concurrent execution of multiple outer-loop iterations and efficient handling of data dependencies. Implemented within a commercial HLS flow, Vitis HLS, Selene delivers significant speedups of 4.74× and 5.46× over both standard static and dynamic HLS tools on a range of irregular workload benchmarks, demonstrating its effectiveness in overcoming challenges to efficient hardware generation for data-dependent applications.

Thanks to the computation ability on encrypted data, fully homomorphic encryption (FHE) is an attractive solution for privacy-preserving computation. Despite its advantages, FHE suffers from limited applicability in small programs because repeated FHE multiplications deplete the level of a ciphertext, which is finite. Bootstrapping reinitializes the level, thus allowing support for larger programs. However, its high computational overhead and the risk of level underflow require sophisticated bootstrapping placement, thereby increasing the programming burden. Although a recently proposed compiler automatizes the bootstrapping placement, its applicability is still limited due to lack of loop support.