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Domain-Specific Language Abstractions for Compression

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Citation Author(s):
Ajay Brahmakshatriya, Richard Wang, Shoaib Kamil, Albert Reuther, Vivienne Sze, Saman Amarasinghe
Submitted by:
Jessica Ray
Last updated:
1 March 2021 - 10:05am
Document Type:
Presentation Slides
Document Year:
2021
Event:
Presenters Name:
Jessica Ray
Categories:

Abstract 

Abstract: 

Little attention has been given to language support for block-based compression algorithms, despite their high implementation complexity. Current implementations have to deal with both the intricacies of the algorithm itself, as well as the low-level optimizations necessary for generating fast code. However, many block-based compression algorithms share a common structure in terms of their data representations, data partitioning operations, and data traversals.
In this work, we propose a set of high-level language abstractions that can succinctly capture this structure.
These abstractions provide the building blocks for the development of a domain-specific language and an associated optimizing compiler. With compression-specific language support, researchers can focus on algorithm development rather than the low-level implementation details.

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Dataset Files

DCC2021_Full_slides.pdf

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