In-Cache Query Co-Processing on Coupled CPU-GPU Architectures
Summary: Introduces in-cache OLAP co-processing for coupled CPU-GPU chips sharing an LLC, avoiding bandwidth-driven GPU stalls via CPU-assisted prefetching and decompression. A cost model dynamically splits these tasks and query execution, improving GPU co-processing by up to 33–40%. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Jiong He (Nanyang Technological University)
- 2. Shuhao Zhang (Nanyang Technological University)
- 3. Bingsheng He (Nanyang Technological University)
BibTeX Citation
@article{he_vldb15,
title = {{In-Cache Query Co-Processing on Coupled CPU-GPU Architectures}},
author = {He, Jiong and Zhang, Shuhao and He, Bingsheng},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {4},
pages = {329--340},
doi = {10.14778/2735496.2735497},
url = {https://doi.org/10.14778/2735496.2735497},
year = {2015}
}
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