Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

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Provided by: Georgia Institute of Technology
Topic: Big Data
Format: PDF
Data warehousing applications represent an emerging application arena that requires the processing of relational queries and computations over massive amounts of data. Modern general purpose GPUs are high bandwidth architectures that potentially offer substantial improvements in throughput for these applications. However, there are significant challenges that arise due to the overheads of data movement through the memory hierarchy and between the GPU and host CPU. This paper proposes data movement optimizations to address these challenges.
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