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Fig 1.

Growth of computing capacity on Intel CPU, Intel Phi co-processor, and NVidia/AMD GPUs.

Data extracted from [1, 2].

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Fig 1 Expand

Fig 2.

Normalized resource use per thread of two different kernels.

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Fig 2 Expand

Fig 3.

Three different schedules for launching kernels in a hash join between tables R and S.

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Fig 4.

Overview of MultiQx-GPU [17].

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Fig 5.

Architecture of a typical NVidia GPU [20].

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Fig 6.

Two different ways to schedule two CUDA kernels, each of which is in a CUDA stream.

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Fig 6 Expand

Table 1.

Queries in benchmark.

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Table 1 Expand

Fig 7.

Speedup of two-table hash join GPU operations that MultiQx-GPU Optimization and Two-stage Model over sequential solution.

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Fig 7 Expand

Fig 8.

Percentage of execution time of two table hash join with sequential execution, MultiQx-GPU Optimization and Two-stage Model.

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Fig 8 Expand

Fig 9.

Speedup of two queries combinations that MultiQx-GPU Optimization and Two-stage Model over sequential solution.

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Fig 9 Expand

Fig 10.

Speedup of different number of queries that MultiQx-GPU Optimization and Two-stage Model over sequential solution.

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Fig 10 Expand