What is it about?

RadiK is a highly optimized GPU-parallel radix top-k selection that is scalable with k, input length, and batch size. With a carefully designed optimization framework targeting high memory bandwidth and resource utilization, RadiK supports far larger k than the prior art, achieving up to 2.5x speedup for non-batch queries and up to 4.8x speedup for batch queries.

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This page is a summary of: POSTER: RadiK: Scalable Radix Top-K Selection on GPUs, February 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3627535.3638478.
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