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  • DevOps (157)
  • Software (1285) +85
  • IT (839) +7
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  • All (2879) +96
    • AI (592) +4
    • DevOps (157)
    • Software (1285) +85
    • IT (839) +7
    • Education (6)
  • Notice
  • All (2879) +96
  • AI (592) +4
  • DevOps (157)
  • Software (1285) +85
  • IT (839) +7
  • Education (6)
  • Notice
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  • 1 week ago · ai

    [Paper] LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework

    Unit testing is an essential but resource-intensive step in software development, ensuring individual code units function correctly. This paper introduces Agone...

    #research #paper #ai #machine-learning
  • 1 week ago · devops

    [Paper] Interactive Visualization of Proof-of-Work Consensus Protocol on Raspberry Pi

    We describe a prototype of a fully capable Ethereum Proof-of-Work (PoW) blockchain network running on multiple Raspberry Pi (RPi) computers. The prototype is ea...

    #research #paper #devops
  • 1 week ago · ai

    [Paper] NNGPT: Rethinking AutoML with Large Language Models

    Building self-improving AI systems remains a fundamental challenge in the AI domain. We present NNGPT, an open-source framework that turns a large language mode...

    #research #paper #ai #machine-learning
  • 1 week ago · devops

    [Paper] Parallel simulation and adaptive mesh refinement for 3D elastostatic contact mechanics problems between deformable bodies

    Parallel implementation of numerical adaptive mesh refinement (AMR)strategies for solving 3D elastostatic contact mechanics problems is an essential step toward...

    #research #paper #devops
  • 1 week ago · ai

    [Paper] QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation

    Developing high-performance GPU kernels is critical for AI and scientific computing, but remains challenging due to its reliance on expert crafting and poor por...

    #research #paper #ai #nlp
  • 1 week ago · devops

    [Paper] SwitchDelta: Asynchronous Metadata Updating for Distributed Storage with In-Network Data Visibility

    Distributed storage systems typically maintain strong consistency between data nodes and metadata nodes by adopting ordered writes: 1) first installing data; 2)...

    #research #paper #devops
  • 1 week ago · ai

    [Paper] Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning

    Asynchronous federated learning (FL) has recently gained attention for its enhanced efficiency and scalability, enabling local clients to send model updates to ...

    #research #paper #ai #machine-learning
  • 1 week ago · ai

    [Paper] ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models

    Federated learning (FL) has been extensively studied as a privacy-preserving training paradigm. Recently, federated block coordinate descent scheme has become a...

    #research #paper #ai #machine-learning
  • 1 week ago · devops

    [Paper] PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases

    In recent years, resource elasticity and cost optimization have become essential for RDBMSs. While cloud-native RDBMSs provide elastic computing resources via d...

    #research #paper #devops
  • 1 week ago · devops

    [Paper] Improved Linear-Time Construction of Minimal Dominating Set via Mobile Agents

    Mobile agents have emerged as a powerful framework for solving fundamental graph problems in distributed settings in recent times. These agents, modelled as aut...

    #research #paper #devops
  • 1 week ago · software

    [Paper] Understanding Accelerator Compilers via Performance Profiling

    Accelerator design languages (ADLs), high-level languages that compile to hardware units, help domain experts quickly design efficient application-specific hard...

    #research #paper #software
  • 1 week ago · ai

    [Paper] Prompt Less, Smile More: MTP with Semantic Engineering in Lieu of Prompt Engineering

    AI-Integrated programming is emerging as a foundational paradigm for building intelligent systems with large language models (LLMs). Recent approaches such as M...

    #research #paper #ai #machine-learning

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