惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

H
Help Net Security
T
ThreatConnect
SecWiki News
SecWiki News
F
Future of Privacy Forum
AWS News Blog
AWS News Blog
C
Cisco Blogs
A
Arctic Wolf
Vercel News
Vercel News
The GitHub Blog
The GitHub Blog
Scott Helme
Scott Helme
V
V2EX
博客园 - 叶小钗
阮一峰的网络日志
阮一峰的网络日志
K
Kaspersky official blog
G
Google Developers Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
P
Privacy International News Feed
C
Cyber Attacks, Cyber Crime and Cyber Security
N
News | PayPal Newsroom
Schneier on Security
Schneier on Security
NISL@THU
NISL@THU
Microsoft Azure Blog
Microsoft Azure Blog
量子位
The Hacker News
The Hacker News
Stack Overflow Blog
Stack Overflow Blog
Security Latest
Security Latest
M
Microsoft Research Blog - Microsoft Research
Google Online Security Blog
Google Online Security Blog
博客园_首页
C
CXSECURITY Database RSS Feed - CXSecurity.com
I
InfoQ
Google DeepMind News
Google DeepMind News
Y
Y Combinator Blog
The Cloudflare Blog
Microsoft Security Blog
Microsoft Security Blog
Martin Fowler
Martin Fowler
Cisco Talos Blog
Cisco Talos Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
T
Troy Hunt's Blog
F
Fox-IT International blog
S
Security @ Cisco Blogs
博客园 - 司徒正美
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
C
Comments on: Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
L
LINUX DO - 最新话题
GbyAI
GbyAI
Project Zero
Project Zero
腾讯CDC
T
Tailwind CSS Blog

cs updates on arXiv.org

End-to-End Intracortical Speech Decoding from Neural Activity ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots Phonetic Modeling of Dialectal Variation in Vietnamese Speech H$^{2}$MT: Semantic Hierarchy-Aware Hierarchical Memory Transformer When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds RL with Learnable Textual Feedback: A Bilevel Approach MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding Refined Analysis of Entropy-Regularized Actor-Critic CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming Measuring the Depth of LLM Unlearning via Activation Patching Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes Towards a Universal Causal Reasoner ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale Private Adaptive Covariance Estimation via Gaussian Graphical Models Repeated Sequences Reveal Gaps between Large Language Models and Natural Language Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers Momentum Streams for Optimizer-Inspired Transformers ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth Lake Detection and Water Quality Estimation in Sentinel-2 Data PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling Generative OOD-regularized Model-based Policy Optimization Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Discovering Lexical Gaps Using Embeddings from Multilingual LLMs CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems Side-by-side Comparison Amplifies Dialect Bias in Language Models A lift for input-convex neural network training Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence Beyond the Target: From Imitation to Collaboration in Speculative Decoding TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models Exploring Profiles of Cognitive Distortions Associated with Mental Health Disorders Large Language Model Selection with Limited Annotations Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets How Much Structure Do LLMs Need? Evaluating LLMs for Bibliometric Cluster Description AvAtar: Learning to Align via Active Optimal Transport TRACE: A taxonomy-grounded synthetic dataset for teaching-program generation and session interpretation in Applied Behavior Analysis Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals Representation-Guided Discrete Molecular Graph Retrosynthesis Batch Normalization Amplifies Memorization and Privacy Risks A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation Treatment Effect Estimation with Differentiated Networked Effect on Graph Data What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval ECHO: Terminal Agents Learn World Models for Free Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems Rethinking Federated Unlearning via the Lens of Memorization VEOcc: Voxel-Centric Online Semantic Occupancy Prediction For Embodied Scene Understanding Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors CAffNet: Hard Constraint-Affine Neural Networks Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval SEAL: Synergistic Co-Evolution of Agents and Learning Environments DRInQ: Evaluating Conversational Implicature with Controlled Context Variation HiMed: Incentivizing Hindi Reasoning in Medical LLMs Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning AstroMind: A High-Fidelity Benchmark for Spacecraft Behavior Reasoning Based on Large Language Models Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs World-State Transformations for Neuro-symbolic Interactive Storytelling TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation An Interactive Paradigm for Deep Research Lngram: N-gram Conditional Memory in Latent Space Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation DTO: a Differentiable Training Objective for Effective Counterfactual Story Rewriting StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack NITP: Next Implicit Token Prediction for LLM Pre-training MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression LLMs Show No Signs Of Individuated Metacognition Fourier Feature Pyramids for Physics-Informed Neural Networks ROC Analysis for Evaluating Translation Quality Estimation Systems Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning Assessing the Operational Viability of Foundation Models for Time Series Forecasting GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation Interdomain Attention: Beyond Token-Level Key-Value Memory Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
CAFS: A Cache-Aware Frequency Sort for Low-Cardinality Integer Data on x86-64
Vasiliy S. S · 2026-05-26 · via cs updates on arXiv.org

View PDF HTML (experimental)

Abstract:Integer sorts in OLAP engines often run on columns whose cardinality $K$ is much smaller than the array length $N$. After a group-by stage the intermediate key column has $K$ bounded by the number of distinct group keys, and even a column-store scan typically operates on dictionary-encoded categorical fields where $K$ never exceeds a few thousand. A comparison sort on such a column still pays $\Theta(N \log N)$ comparisons, and a radix sort still pays $\Theta(N \cdot B/b)$ byte passes, irrespective of $K$. This paper describes CAFS, an integer sort that does exploit it on x86-64 with AVX2. The algorithm combines a SIMD bucket sized to one cache line, a Chao1 cardinality estimator over 1024 strided samples (kept in a heap-allocated 40 KB open-addressing table), and an adaptive dispatcher backed by a spill safety guard. The hot loop is branchless and uses AVX2 cmpeq together with movemask and tzcnt to locate the matching lane. We benchmarked CAFS on a full-factorial grid of 58 array sizes $N$ from $10^3$ to $3 \cdot 10^7$ with dense $K$ schedules per $N$, producing 592770 timed runs against pdqsort, IPS4o, vqsort, ska_sort, and std::sort. In the $K \ll N$ band the throughput is 1.7 to 3.1x that of pdqsort, 1.7 to 3.5x IPS4o, and 1.2 to 2.3x vqsort. The operational crossover against pdqsort is at $K \approx 1.3 \cdot 10^5$; against ska_sort, $K \approx 8.14 \cdot 10^5$; against vqsort, $K \approx 6.7 \cdot 10^5$; and against IPS4o the curves only converge near $K = N$. Of the five baselines, only vqsort actually overtakes CAFS once the crossover is passed, which makes the vqsort threshold at $K \approx 6.7 \cdot 10^5$ the binding constraint on the operational range of CAFS.
Comments: 28 pages, 15 figures, 10 tables. Source code: this https URL
Subjects: Data Structures and Algorithms (cs.DS); Databases (cs.DB)
MSC classes: 68P10, 68W40
ACM classes: F.2.2; H.2.4
Cite as: arXiv:2605.25040 [cs.DS]
  (or arXiv:2605.25040v1 [cs.DS] for this version)
  https://doi.org/10.48550/arXiv.2605.25040

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Vasiliy Shlyk [view email]
[v1] Sun, 24 May 2026 12:37:36 UTC (3,312 KB)