HackerPapers

arXiv:2506.15601cs.AR

CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL Technologies

Donghyun Gouk, Seungkwan Kang, Seungjun Lee, Jiseon Kim, Kyungkuk Nam, Eojin Ryu, Sangwon Lee, Dongpyung Kim, Junhyeok Jang, Hanyeoreum Bae, Myoungsoo Jung

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

This work introduces a GPU storage expansion solution utilizing CXL, featuring a novel GPU system design with multiple CXL root ports for integrating diverse storage media (DRAMs and/or SSDs). We developed and siliconized a custom CXL controller integrated at the hardware RTL level, achieving two-digit nanosecond roundtrip latency, the first in the field. This study also includes speculative read and deterministic store mechanisms to efficiently manage read and write operations to hide the endpoint's backend media latency variation. Performance evaluations reveal our approach significantly outperforms existing methods, marking a substantial advancement in GPU storage technology.

arXiv comments
Journal reference
DOI
Subjects
cs.ARHardware Architecture

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Sep 2025 to Sep 2025.

Comments linking this paper, per year.

Discussed in comments1 thread

    • I’m really looking forward to GPU-CXL integration. "CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL Technologies" https://arxiv.org/abs/2506.15601

      pellaView on HNParent context

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.