Image de couverture de livre

DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Qidong, Wu, Hao, Hao, Yuming, Ye, Zilingfeng, Li, Jiajia, Liu, Xu, Zhou, Keren
Format:	Preprint
Publié:	2024
Sujets:	Performance Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Interpreting Performance Profiles with Deep Learning
par: Liu, Zhuoran
Publié: (2025)

Enabling Heterogeneous Performance Analysis for Scientific Workloads
par: Graczyk, Maksymilian, et autres
Publié: (2025)

DEER: Deep Runahead for Instruction Prefetching on Modern Mobile Workloads
par: Vahdatniya, Parmida, et autres
Publié: (2025)

PASTA: A Modular Program Analysis Tool Framework for Accelerators
par: Lin, Mao, et autres
Publié: (2026)

PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
par: Zhao, Xinlong, et autres
Publié: (2025)

Scaler: Efficient and Effective Cross Flow Analysis
par: Steven, et autres
Publié: (2024)

Obfuscation as an Effective Signal for Prioritizing Cross-Chain Smart Contract Audits: Large-Scale Measurement and Risk Profiling
par: Zhao, Yao, et autres
Publié: (2026)

Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads
par: Karami, Rachid, et autres
Publié: (2024)

Forecasting GPU Performance for Deep Learning Training and Inference
par: Lee, Seonho, et autres
Publié: (2024)

Profiling Apple Silicon Performance for ML Training
par: Feng, Dahua, et autres
Publié: (2025)

Performance of Genetic Algorithms in the Context of Software Model Refactoring
par: Cortellessa, Vittorio, et autres
Publié: (2023)

Unikernels vs. Containers: A Runtime-Level Performance Comparison for Resource-Constrained Edge Workloads
par: Dinh-Tuan, Hai
Publié: (2025)

Evaluating the Performance of the DeepSeek Model in Confidential Computing Environment
par: Dong, Ben, et autres
Publié: (2025)

CUTHERMO: Understanding GPU Memory Inefficiencies with Heat Map Profiling
par: Zhao, Yanbo, et autres
Publié: (2025)

Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation
par: Lu, Yuncheng, et autres
Publié: (2025)

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
par: Li, Jianhui, et autres
Publié: (2023)

Mosaic: Cross-Modal Clustering for Efficient Video Understanding
par: Wang, Tuowei, et autres
Publié: (2026)

SysOM-AI: Continuous Cross-Layer Performance Diagnosis for Production AI Training
par: Zheng, Yusheng, et autres
Publié: (2026)

Chapter Cross-Genre Musicking in Individual and Collaborative Group Contexts: Lived Experience and Musical Identity
par: Ruth Herbert, Asha Parkinson
Publié: (2026)

Chapter Cross-Genre Musicking in Individual and Collaborative Group Contexts: Lived Experience and Musical Identity
par: Ruth Herbert, Asha Parkinson
Publié: (2026)

Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units
par: De Alwis, Udari, et autres
Publié: (2026)

xMem: A CPU-Based Approach for Accurate Estimation of GPU Memory in Deep Learning Training Workloads
par: Shi, Jiabo, et autres
Publié: (2025)

H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
par: Fu, Zizhuo, et autres
Publié: (2025)

Dissecting RISC-V Performance: Practical PMU Profiling and Hardware-Agnostic Roofline Analysis on Emerging Platforms
par: Batashev, Alexander
Publié: (2025)

Profiling Concurrent Vision Inference Workloads on NVIDIA Jetson -- Extended
par: Chakraborty, Abhinaba, et autres
Publié: (2025)

Anatomizing Deep Learning Inference in Web Browsers
par: Wang, Qipeng, et autres
Publié: (2024)

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric
par: Chen, Hao, et autres
Publié: (2025)

Energy Efficiency Analysis of Active RIS-enhanced Wireless Network under Power-Sum Constraint
par: Xin, Jingdie, et autres
Publié: (2025)

Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
par: Gardner, Jason, et autres
Publié: (2025)

Scalable GPU Performance Variability Analysis framework
par: Lahiry, Ankur, et autres
Publié: (2025)

Memory Analysis on the Training Course of DeepSeek Models
par: Zhang, Ping, et autres
Publié: (2025)

Tabular and Deep Reinforcement Learning for Gittins Index
par: Dhankhar, Harshit, et autres
Publié: (2024)

Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
par: Jain, Rutwik, et autres
Publié: (2026)

The Price of Interoperability: Exploring Cross-Chain Bridges and Their Economic Consequences
par: Cao, Yiyue, et autres
Publié: (2026)

Network Calculus Bounds for Time-Sensitive Networks: A Revisit
par: Jiang, Yuming
Publié: (2024)

OSCAR-P and aMLLibrary: Profiling and Predicting the Performance of FaaS-based Applications in Computing Continua
par: Sala, Roberto, et autres
Publié: (2024)

Putting the Context back into Memory
par: Roberts, David A.
Publié: (2025)

XTC, A Research Platform for Optimizing AI Workload Operators
par: Hugo, Pompougnac, et autres
Publié: (2025)

The Use of Digital Financial Services and Business Performance Satisfaction in the Context of Female Entrepreneurship
par: Fernanda Francielle de Oliveira Malaquias
Publié: (2022)

From Profiling to Optimization: Unveiling the Profile Guided Optimization
par: Liu, Bingxin, et autres
Publié: (2025)