HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines
Summary: HetExchange extends the relational Exchange for heterogeneous CPU–GPU servers, combining CPU task-parallelism and GPU data-parallelism across non-coherent memory. JIT integration makes operators parallelism- and data-location-agnostic, delivering 2.8–6.4× gains over CPU- and GPU-only DBMSs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Periklis Chrysogelos (EPFL)
- 2. Manos Karpathiotakis (Meta)
- 3. Raja Appuswamy (EURECOM)
- 4. Anastasia Ailamaki (EPFL; RAW Labs)
BibTeX Citation
@article{chrysogelos_vldb19,
title = {{HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines}},
author = {Chrysogelos, Periklis and Karpathiotakis, Manos and Appuswamy, Raja and Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {5},
pages = {544--556},
doi = {10.14778/3303753.3303760},
url = {https://doi.org/10.14778/3303753.3303760},
year = {2019}
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