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Based on this observation, we propose CODAG, a novel and simple kernel architecture for high throughput decompression on GPUs. The Decompression Engine in Blackwell makes it much easier to deal with one of the biggest challenges in data-heavy. It offloads the Central Processing Unit (CPU) from decompression tasks, improving performance for data-intensive workloads such. Starting with version 4.2, nvCOMP is introducing support for the NVIDIA Blackwell platform. It leverages Blackwells dedicated. In this paper, we introduce GSST, a GPU-optimized version of the FSST compression algorithm, which targets string.

It features an extremely fast decoder, with speed in multiple GB/s per core, typically reaching RAM speed limits on multi-core.