Accelerating User-Defined Aggregate Functions (UDAF) with Block-wide Execution and JIT Compilation on GPUs-Reference-Cited by-同舟云学术

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Accelerating User-Defined Aggregate Functions (UDAF) with Block-wide Execution and JIT Compilation on GPUs

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Workshop on Data Management on New Hardware
language:
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Author:

Yogatama Bobbi¹^ORCID,Miller Brandon²^ORCID,Wang Yunsong²^ORCID,Markall Graham³^ORCID,Hemstad Jacob²^ORCID,Kimball Gregory²^ORCID,Yu Xiangyao¹^ORCID

Affiliation:

1. University of Wisconsin-Madison, US

2. NVIDIA, US

3. NVIDIA, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3592980.3595307

Reference52 articles.

1. 2022. A Lightweight LLVM Python Binding for Writing JIT Compilers. https://pypi.org/project/llvmlite/. 2022. A Lightweight LLVM Python Binding for Writing JIT Compilers. https://pypi.org/project/llvmlite/.

2. 2022. BlazingSQL. https://blazingsql.com. 2022. BlazingSQL. https://blazingsql.com.

3. 2022. CUB Documentation. https://nvlabs.github.io/cub/. 2022. CUB Documentation. https://nvlabs.github.io/cub/.

4. 2022. CUDA C Programming Guide. http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html. 2022. CUDA C Programming Guide. http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html.

5. 2022. cuDF- GPU DataFrame Library. https://github.com/rapidsai/cudf. 2022. cuDF- GPU DataFrame Library. https://github.com/rapidsai/cudf.

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