Copertina

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Zixuan, Chen, Da, Huang, Kecheng, Yin, Lihao, Li, Xing, Zhen, Huiling, Yuan, Mingxuan, Shao, Zili
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Neural and Evolutionary Computing Distributed, Parallel, and Cluster Computing Machine Learning Performance Software Engineering Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
di: Yang, Liu, et al.
Pubblicazione: (2026)

Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures
di: Guerrero, Carlos, et al.
Pubblicazione: (2025)

A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
di: Harada, Tomohiro
Pubblicazione: (2021)

SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training
di: Wu, Kun, et al.
Pubblicazione: (2024)

D-CODE: Data Colony Optimization for Dynamic Network Efficiency
di: Pandey, Tannu, et al.
Pubblicazione: (2024)

Code generation and runtime techniques for enabling data-efficient deep learning training on GPUs
di: Wu, Kun
Pubblicazione: (2024)

Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2
di: Wang, Felix, et al.
Pubblicazione: (2025)

A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
di: Harada, Tomohiro, et al.
Pubblicazione: (2021)

Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
di: Lin, Ruhai, et al.
Pubblicazione: (2024)

Trackable Agent-based Evolution Models at Wafer Scale
di: Moreno, Matthew Andres, et al.
Pubblicazione: (2024)

Trackable Island-model Genetic Algorithms at Wafer Scale
di: Moreno, Matthew Andres, et al.
Pubblicazione: (2024)

Sparse Spiking Neural-like Membrane Systems on Graphics Processing Units
di: Hernández-Tello, Javier, et al.
Pubblicazione: (2024)

Can Tensor Cores Benefit Memory-Bound Kernels? (No!)
di: Zhang, Lingqi, et al.
Pubblicazione: (2025)

KEET: Explaining Performance of GPU Kernels Using LLM Agents
di: Davis, Joshua H., et al.
Pubblicazione: (2026)

Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
di: Lacey, Dane C., et al.
Pubblicazione: (2024)

FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow
di: Heidari, Sina, et al.
Pubblicazione: (2026)

Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
di: Aimone, James B
Pubblicazione: (2025)

HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
di: Frank, Gwenevere, et al.
Pubblicazione: (2025)

Neuromorphic hardware for sustainable AI data centers
di: Vogginger, Bernhard, et al.
Pubblicazione: (2024)

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
di: Dutta, Siddhant, et al.
Pubblicazione: (2024)

phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
di: Fischer, Stefan, et al.
Pubblicazione: (2026)

GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
di: Khatoonabadi, SayedHassan, et al.
Pubblicazione: (2021)

The AI Shadow War: SaaS vs. Edge Computing Architectures
di: Marpu, Rhea Pritham, et al.
Pubblicazione: (2025)

A Reinforced Evolution-Based Approach to Multi-Resource Load Balancing
di: Sliwko, Leszek
Pubblicazione: (2025)

Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
di: Serpen, Gursel
Pubblicazione: (2025)

NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
di: Hafiz, Muhammad Ihsan Al, et al.
Pubblicazione: (2026)

MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology
di: Jeong, Minki, et al.
Pubblicazione: (2022)

Asynchronous Evolution of Deep Neural Network Architectures
di: Liang, Jason, et al.
Pubblicazione: (2023)

Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization
di: Guerrero, Carlos, et al.
Pubblicazione: (2024)

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase
di: Nicusan, Andrei-Leonard, et al.
Pubblicazione: (2025)

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
di: Andersson, Måns I., et al.
Pubblicazione: (2025)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration
di: Huang, Beichen, et al.
Pubblicazione: (2025)

OpenRASE: Service Function Chain Emulation
di: Krishnamohan, Theviyanthan, et al.
Pubblicazione: (2025)

Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
di: Ullah, Amjad, et al.
Pubblicazione: (2025)

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression
di: Zhu, Peijun, et al.
Pubblicazione: (2025)

Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search
di: Nichols, Daniel, et al.
Pubblicazione: (2026)

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
di: Golosio, Bruno, et al.
Pubblicazione: (2025)

Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization
di: Nichols, Daniel, et al.
Pubblicazione: (2025)

eBPF-Based Instrumentation for Generalisable Diagnosis of Performance Degradation
di: Landau, Diogo, et al.
Pubblicazione: (2025)

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization
di: Sun, Yunrui, et al.
Pubblicazione: (2024)