120 citations · 173 across the 2 of their papers we have counts for
4 papers
Compiler Support for Sparse Tensor Computations in MLIR
Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman +3
Sparse tensors arise in problems in science, engineering, machine learning, and data analytics. Programs that operate on such tensors can exploit sparsity to reduce storage require…
MLIR: A Compiler Infrastructure for the End of Moore's Law
Chris Lattner, Mehdi Amini, Uday Bondhugula +7
This work presents MLIR, a novel approach to building reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heteroge…
HiFrames: High Performance Data Frames in a Scripting Language
Ehsan Totoni, Wajih Ul Hassan, Todd A. Anderson +1
Data frames in scripting languages are essential abstractions for processing structured data. However, existing data frame solutions are either not distributed (e.g., Pandas in Pyt…
HPAT: High Performance Analytics with Scripting Ease-of-Use
Ehsan Totoni, Todd A. Anderson, Tatiana Shpeisman
Big data analytics requires high programmer productivity and high performance simultaneously on large-scale clusters. However, current big data analytics frameworks (e.g. Apache Sp…