cfaed Publications

@InProceedings{farzaneh_asplos24,
author = {Hamid Farzaneh and João Paulo Cardoso de Lima and Mengyuan Li and Asif Ali Khan and Xiaobo Sharon Hu and Jeronimo Castrillon},
booktitle = {Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24), Volume 3},
title = {C4CAM: A Compiler for CAM-based In-memory Accelerators},
doi = {10.1145/3620666.3651386},
isbn = {9798400703867},
location = {La Jolla, CA, USA},
pages = {164--177},
publisher = {Association for Computing Machinery},
series = {ASPLOS '24},
url = {https://arxiv.org/abs/2309.06418},
abstract = {Machine learning and data analytics applications increasingly suffer from the high latency and energy consumption of conventional von Neumann architectures. Recently, several in-memory and near-memory systems have been proposed to overcome this von Neumann bottleneck. Platforms based on content-addressable memories (CAMs) are particularly interesting due to their efficient support for the search-based operations that form the foundation for many applications, including K-nearest neighbors (KNN), high-dimensional computing (HDC), recommender systems, and one-shot learning among others. Today, these platforms are designed by hand and can only be programmed with low-level code, accessible only to hardware experts. In this paper, we introduce C4CAM, the first compiler framework to quickly explore CAM configurations and seamlessly generate code from high-level Torch-Script code. C4CAM employs a hierarchy of abstractions that progressively lowers programs, allowing code transformations at the most suitable abstraction level. Depending on the type and technology, CAM arrays exhibit varying latencies and power profiles. Our framework allows analyzing the impact of such differences in terms of system-level performance and energy consumption, and thus supports designers in selecting appropriate designs for a given application.},
address = {New York, NY, USA},
month = may,
numpages = {14},
year = {2024},
}