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Papers CPU

“CPU” 태그가 달린 논문 2,231편 · 필터 해제

Hear Your Code Fail, Voice-Assisted Debugging for Python

2025-07-20 · Sayed Mahbub Hasan Amiri, Md. Mainul Islam, Mohammad Shakhawat Hossen, Sayed Majhab Hasan Amiri 외

This research introduces an innovative voice-assisted debugging plugin for Python that transforms silent runtime errors into actionable audible diagnostics. By implementing a global exception hook architecture with pytts…

CPUMedical Diagnosistext-to-speechText to Speech

3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images

2025-07-15 · Esteban Román Catafau, Torbjörn E. M. Nordling

This paper addresses the fundamental computer vision challenge of robust circle detection and fitting in degraded imaging conditions. We present Combinatorial Convolution-based Circle Fitting for Blurry Images (3C-FBI), …

CPUDensity Estimation

Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive

2025-07-13 · You Huang, Lichao Chen, Jiayi Ji, Liujuan Cao 외

Interactive segmentation (IS) improves annotation efficiency by segmenting target regions from user prompts, with widespread applications in real-world scenarios. Current approaches face a critical trade-off: dense-token…

CPUInteractive SegmentationMixture-of-Experts

MathOptAI.jl: Embed trained machine learning predictors into JuMP models

2025-07-03 · Oscar Dowson, Robert B Parker, Russel Bent

We present \texttt{MathOptAI.jl}, an open-source Julia library for embedding trained machine learning predictors into a JuMP model. \texttt{MathOptAI.jl} can embed a wide variety of neural networks, decision trees, and G…

CPUGaussian ProcessesGPU

LoRA Fine-Tuning Without GPUs: A CPU-Efficient Meta-Generation Framework for LLMs

2025-07-02 · Reza Arabpour, Haitz Sáez de Ocáriz Borde, Anastasis Kratsios

Low-Rank Adapters (LoRAs) have transformed the fine-tuning of Large Language Models (LLMs) by enabling parameter-efficient updates. However, their widespread adoption remains limited by the reliance on GPU-based training…

CPUGPU

AUTOMATIC ROOM LIGHT CONTROLLER MANAGEMENT SYSTEM.

2025-06-25 · Zenodo 2025 6 · Kamal Acharya

The AT89S51 is a low-power, high- performance CMOS 8-bit microcontroller with 4K bytes of In-System Programmable Flash memory. The device is manufactured using Atmel’s high-density non-volatile memory technology and is c…

4kCPUManagement

MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection

2025-06-24 · Zhengxiang Huang, Chaoyue Niu, Zhaode Wang, Jiarui Xue 외

As the demand for on-device Large Language Model (LLM) inference grows, energy efficiency has become a major concern, especially for battery-limited mobile devices. Our analysis shows that the memory-bound LLM decode pha…

CPULarge Language Model

Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction

2025-06-24 · Ziru Zhang, Jiadong Yu, Danny H. K. Tsang

The optimization of quality of experience (QoE) in multi-user virtual reality (VR) interactions demands a delicate balance between ultra-low latency, high-fidelity motion synchronization, and equitable resource allocatio…

Causal InferenceCPUFairnessReinforcement Learning (RL)

LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth

2025-06-23 · Patrick Beukema, Henry Herzog, Yawen Zhang, Hunter Pitelka 외

We introduce a new dataset and algorithm for fast and efficient coastal distance calculations from Anywhere on Earth (AoE). Existing global coastal datasets are only available at coarse resolution (e.g. 1-4 km) which lim…

CPU

Variational Bayesian Channel Estimation and Data Detection for Cell-Free Massive MIMO with Low-Resolution Quantized Fronthaul Links

2025-06-23 · Sajjad Nassirpour, Toan-Van Nguyen, Hien Q. Ngo, Le-Nam Tran 외

We study the joint channel estimation and data detection (JED) problem in a cell-free massive multiple-input multiple-output (CF-mMIMO) network, where access points (APs) communicate with a central processing unit (CPU) …

CPUQuantization

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices

2025-06-21 · Yile Gu, Rohan Kadekodi, Hoang Nguyen, Keisuke Kamahori 외

The recent shift in Generative AI (GenAI) applications from cloud-only environments to end-user devices introduces new challenges in resource management, system efficiency, and user experience. This paper presents Consum…

BenchmarkingCPUGPUScheduling

Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration

2025-06-20 · Zhenyu Lei, Jin-Kao Hao, Qinghua Wu

Local search plays a central role in many effective heuristic algorithms for the vehicle routing problem (VRP) and its variants. However, neighborhood exploration is known to be computationally expensive and time consumi…

AttributeComputational EfficiencyCPUGPU

Wavelet-based Global Orientation and Surface Reconstruction for Point Clouds

2025-06-19 · Yueji Ma, Yanzun Meng, Dong Xiao, Zuoqiang Shi 외

Unoriented surface reconstruction is an important task in computer graphics and has extensive applications. Based on the compact support of wavelet and orthogonality properties, classic wavelet surface reconstruction ach…

CPUSurface Reconstruction

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications

2025-06-17 · Jingreng Lei, Yang Li, Zeyi Ren, Qingfeng Lin 외

A great amount of endeavor has recently been devoted to activity detection for massive machine-type communications in cell-free massive MIMO. However, in practice, as the number of antennas at the access points (APs) inc…

Action DetectionActivity DetectionCPU

Parallel Branch Model Predictive Control on GPUs

2025-06-16 · Luyao Zhang, Chenghuai Lin, Sergio Grammatico

We present a parallel GPU-accelerated solver for branch Model Predictive Control problems. Based on iterative LQR methods, our solver exploits the tree-sparse structure and implements temporal parallelism using the paral…

CPUGPUmodelModel Predictive Control

Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus

2025-06-15 · Joon Soo Yoo, TaeHo Kim, Ji Won Yoon

Location-based services often require users to share sensitive locational data, raising privacy concerns due to potential misuse or exploitation by untrusted servers. In response, we present VeLoPIR, a versatile location…

CPUGPUInformation Retrieval

SecONNds: Secure Outsourced Neural Network Inference on ImageNet

2025-06-13 · Shashank Balla

The widespread adoption of outsourced neural network inference presents significant privacy challenges, as sensitive user data is processed on untrusted remote servers. Secure inference offers a privacy-preserving soluti…

CPUGPUPrivacy Preserving

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices

2025-06-12 · Zhaode Wang, Jingbang Yang, Xinyu Qian, Shiwen Xing 외

Large language models (LLMs) have demonstrated exceptional performance across a variety of tasks. However, their substantial scale leads to significant computational resource consumption during inference, resulting in hi…

CPUGPULanguage ModelingLanguage Modelling+2

RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding

2025-06-12 · Yisi Liu, Chenyang Wang, Hanjo Kim, Raniya Khan 외

Voice conversion has emerged as a pivotal technology in numerous applications ranging from assistive communication to entertainment. In this paper, we present RT-VC, a zero-shot real-time voice conversion system that del…

CPUVoice Conversion

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

2025-06-12 · Jiaqi Lv, Xufeng He, Yanchen Liu, Xu Dai 외

The rapid growth of deep learning has driven exponential increases in model parameters and computational demands. NVIDIA GPUs and their CUDA-based software ecosystem provide robust support for parallel computing, signifi…

CPUData Augmentation
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