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MLIR: Scaling compiler infrastructure for domain specific computation
This work presents MLIR, a novel approach to building reusable and extensible compiler
infrastructure. MLIR addresses software fragmentation, compilation for heterogeneous …
infrastructure. MLIR addresses software fragmentation, compilation for heterogeneous …
MLIR: A compiler infrastructure for the end of Moore's law
This work presents MLIR, a novel approach to building reusable and extensible compiler
infrastructure. MLIR aims to address software fragmentation, improve compilation for …
infrastructure. MLIR aims to address software fragmentation, improve compilation for …
Tensor comprehensions: Framework-agnostic high-performance machine learning abstractions
Deep learning models with convolutional and recurrent networks are now ubiquitous and
analyze massive amounts of audio, image, video, text and graph data, with applications in …
analyze massive amounts of audio, image, video, text and graph data, with applications in …
Tiramisu: A polyhedral compiler for expressing fast and portable code
This paper introduces Tiramisu, a polyhedral framework designed to generate high
performance code for multiple platforms including multicores, GPUs, and distributed …
performance code for multiple platforms including multicores, GPUs, and distributed …
A Comprehensive Survey of Benchmarks for Improvement of Software's Non-Functional Properties
Despite recent increase in research on improvement of non-functional properties of
software, such as energy usage or program size, there is a lack of standard benchmarks for …
software, such as energy usage or program size, there is a lack of standard benchmarks for …
Polly—performing polyhedral optimizations on a low-level intermediate representation
The polyhedral model for loop parallelization has proved to be an effective tool for advanced
optimization and automatic parallelization of programs in higher-level languages. Yet, to …
optimization and automatic parallelization of programs in higher-level languages. Yet, to …
A practical automatic polyhedral parallelizer and locality optimizer
We present the design and implementation of an automatic polyhedral source-to-source
transformation framework that can optimize regular programs (sequences of possibly …
transformation framework that can optimize regular programs (sequences of possibly …
Polymage: Automatic optimization for image processing pipelines
This paper presents the design and implementation of PolyMage, a domain-specific
language and compiler for image processing pipelines. An image processing pipeline can …
language and compiler for image processing pipelines. An image processing pipeline can …
Polygeist: Raising C to polyhedral MLIR
We present Polygeist, a new compilation flow that connects the MLIR compiler infrastructure
to cutting edge polyhedral optimization tools. It consists of a C and C++ frontend capable of …
to cutting edge polyhedral optimization tools. It consists of a C and C++ frontend capable of …
Automatic transformations for communication-minimized parallelization and locality optimization in the polyhedral model
The polyhedral model provides powerful abstractions to optimize loop nests with regular
accesses. Affine transformations in this model capture a complex sequence of execution …
accesses. Affine transformations in this model capture a complex sequence of execution …