3 papers
cs.PL2026
Splyce: SIMD Vectorization of Sparse Coiteration
Kabilan Mahathevan, Poorna Gunathilaka, Kirshanthan Sundararajah
Sparse tensor contractions are bottlenecked by sparse-sparse coiteration loops that resist standard loop vectorization. We present Splyce, an auto-vectorization framework in MLIR t…
cs.PL2026
TENSURE: Fuzzing Sparse Tensor Compilers (Registered Report)
Kabilan Mahathevan, Yining Zhang, Muhammad Ali Gulzar +1
Sparse Tensor Compilers (STCs) have emerged as critical infrastructure for optimizing high-dimensional data analytics and machine learning workloads. The STCs must synthesize compl…
cs.DB2026
Dialect-Agnostic SQL Parsing via LLM-Based Segmentation
Junwen An, Kabilan Mahathevan, Manuel Rigger
SQL is a widely adopted language for querying data, which has led to the development of various SQL analysis and rewriting tools. However, due to the diversity of SQL dialects, suc…