SparseLNR: Accelerating Sparse Tensor Computations Using Loop Nest Restructuring
Adhitha Dias,
Kirshanthan Sundararajah,
Charitha Saumya
et al.
Abstract:Sparse tensor algebra computations have become important in many real-world applications like machine learning, scientific simulations, and data mining. Hence, automated code generation and performance optimizations for tensor algebra kernels are paramount. Recent advancements such as the Tensor Algebra Compiler (TACO) greatly generalize and automate the code generation for tensor algebra expressions. However, the code generated by TACO for many important tensor computations remains suboptimal due to the absen… Show more
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