Rethinking Analytical Processing in the GPU Era · HackerPapers discussions

Rethinking Analytical Processing in the GPU Era — mentioned by jauntywundrkind

Sat, 03 Jan 2026 20:05:35 GMT

From their Rethinking Analytical Processing in the GPU Era paper, > Sirius builds on GPU libraries such as libcudf [6], RMM [14], and NCCL [11], reusing optimized implemen- tations of core relational operators like joins, filters, aggregations, and data shuffle. Thanks to its modular design, Sirius also allows developers to easily switch the operator implementation between these GPU libraries and custom CUDA kernels. https://arxiv.org/abs/2508.04701 I wonder if the various other CUDA translation layers (ZLUDA, SCALE, HIP) can host this? It'd be so nice to see a little more foothold for Vulkan…

Paper and discussion history. A mention is not an endorsement.

Rethinking Analytical Processing in the GPU Era — HN submission

Tue, 09 Sep 2025 06:00:12 GMT

Rethinking Analytical Processing in the GPU Era

6 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Rethinking Analytical Processing in the GPU Era — HN submission

Thu, 07 Aug 2025 17:03:33 GMT

Rethinking Analytical Processing in the GPU Era

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.