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Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads
back go back Volume 18, No. 11 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs Abstract In this study we explore the impact of different combinations of GPU models (RTX3090, A100, H100, GraceHoppers - GH200) and interconnects (PCIe 3.0, PCIe 4.0, PCIe 5.0, and NVLink 4.0) on various relational data analytics workloads (TPC-H, H2O-G, ClickBench).
We present MaxBench, a comprehensive framework designed for benchmarking, profiling, and modeling these workloads on GPUs. We conduct an extensive experimental analysis with MaxBench across different combinations of GPU models and interconnects on various data analytics workloads. The insights from this analysis reveal the trade-offs between GPU computing capacity and interconnect bandwidth on query processing.
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