VecPAC: A Vectorizable and Precision-Aware CGRA-Reference-Cited by-同舟云学术

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VecPAC: A Vectorizable and Precision-Aware CGRA

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)
language:
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Author:

Tan Cheng¹,Patil Deepak²,Tumeo Antonino³,Weisz Gabriel⁴,Reinhardt Steve⁴,Zhang Jeff²

Affiliation:

1. Google

2. Arizona State University

3. Pacific Northwest National Laboratory

4. Microsoft

Funder

Pacific Northwest National Laboratory (PNNL)

U.S. Department of Energy (DOE)

Battelle Memorial Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323590/10323543/10323910.pdf?arnumber=10323910

Reference29 articles.

1. HyCUBE

2. PyMTL3: A Python Framework for Open-Source Hardware Modeling, Generation, Simulation, and Verification

3. LLVM: A compilation framework for lifelong program analysis & transformation

4. MAERI

5. Branch-aware loop mapping on cgras;hamzeh;Proceedings of the 51st Annual Design Automation Conference,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MDCRA: A Reconfigurable Accelerator Framework for Multiple Dataflow Lanes;2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2024-07-24

2. Fused Functional Units for Area-Efficient CGRAs;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

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