Preprint
Sep 2026
Unifying In-Memory Data Analytics through Sparse Compilation
This work introduces a novel intermediate representation (IR), grounded in relational algebra and sparse iteration theory, that provides a unified abstraction for data and computation that enables workload-agnostic, end-to-end optimizations across diverse analytics applications.
Anand Jayarajan, Gennady Pekhimenko
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