---
格式版本: 2
标题: "FaCTz: Fast Critical-Point and Topology-Aware GPU Compression for Scientific Vector Fields"
原文链接: "https://arxiv.org/abs/2608.10586"
发布日期: "2026-08-11"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "rule:local:strict_original_body"
发布时间证据: "**\\[v1\\]** Tue, 11 Aug 2026 07:14:50 UTC (34,782 KB)"
发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body"
发布时间校准置信度: "high"
发布时间候选数量: 18
发布时间严格候选数量: 6
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-12T10:48:41+08:00"
发布时间仲裁状态: "skipped"
发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-08-12T10:46:47+08:00"
入库时间: "2026-08-12T02:48:41.110Z"
来源平台: "arXiv 学术论文搜索"
搜索渠道: "source_template"
搜索词: "https://arxiv.org/search/?query=Scale-up&searchtype=all"
匹配关键词:
  - "Scale-up"
  - "GPU"
  - "throughput"
相关厂家:
  []
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 10
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "论文主题为GPU压缩算法，与超节点、AI Rack、机柜级AI基础设施、高速互连、供电、散热、量产落地等完全无关，属无关内容。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-12T10:48:45+08:00"
AI主题相关性: 0
AI来源权威性: 5
AI新颖性: 5
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 0
采集批次: "2026年8月12日2点04分20秒"
采集批次ID: "20260812-020420-289"
去重键: "https://arxiv.org/abs/2608.10586"
---

## Computer Science > Distributed, Parallel, and Cluster Computing

## Title:FaCTz: Fast Critical-Point and Topology-Aware GPU Compression for Scientific Vector Fields

Authors:[Mingze Xia](https://arxiv.org/search/cs?searchtype=author&query=Xia,+M), [Yuxiao Li](https://arxiv.org/search/cs?searchtype=author&query=Li,+Y), [Sheng Di](https://arxiv.org/search/cs?searchtype=author&query=Di,+S), [Jiannan Tian](https://arxiv.org/search/cs?searchtype=author&query=Tian,+J), [Baixi Sun](https://arxiv.org/search/cs?searchtype=author&query=Sun,+B), [Boyi Zhang](https://arxiv.org/search/cs?searchtype=author&query=Zhang,+B), [Bei Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+B), [Hanqi Guo](https://arxiv.org/search/cs?searchtype=author&query=Guo,+H), [Xin Liang](https://arxiv.org/search/cs?searchtype=author&query=Liang,+X)

[View PDF](https://arxiv.org/pdf/2608.10586) [HTML (experimental)](https://arxiv.org/html/2608.10586v1)

> Abstract:Error-bounded lossy compression is essential for storing and transferring the vector-field data produced by large-scale scientific simulations. Although it enforces a user-specified error bound to limit numerical distortion, it does not preserve the field's topology: small admissible perturbations can create or eliminate critical points on which downstream feature analysis depends. Existing GPU compressors achieve high throughput but are topology-agnostic, whereas the only compressor with provable critical-point preservation (cpSZ) runs on the CPU at throughput far below the data-generation rates of modern GPU-based systems. We observe that, although preserving critical points is inherently a coupled and sequential constraint, it can be reformulated into independent parallel tasks, either on a per-block basis or, speculatively, on a per-point basis. We present FaCTz, the first GPU-based error-bounded lossy compressor that guarantees critical-point preservation. FaCTz provides a block-wise mode optimized for throughput and a speculative per-point mode optimized for compression ratio. Across three vector-field datasets, FaCTz preserves every critical point while achieving throughput of up to 60 GB/s, approximately two orders of magnitude (up to approximately 640x) faster than the multithreaded CPU implementation of cpSZ. Its speculative mode further improves the compression ratio by approximately a factor of two over the throughput-oriented mode.

| Subjects: | Distributed, Parallel, and Cluster Computing (cs.DC) |
| --- | --- |
| Cite as: | [arXiv:2608.10586](https://arxiv.org/abs/2608.10586) \[cs.DC\] |
|  | (or [arXiv:2608.10586v1](https://arxiv.org/abs/2608.10586v1) \[cs.DC\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.10586](https://doi.org/10.48550/arXiv.2608.10586) |

## Submission history

From: Mingze Xia \[[view email](https://arxiv.org/show-email/c4e9bbc3/2608.10586)\]  
**\[v1\]** Tue, 11 Aug 2026 07:14:50 UTC (34,782 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.10586) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
