eScope: A Fine-Grained Power Prediction Mechanism for Mobile Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Mukherjee, Dipayan, Sandur, Atul, Mechitov, Kirill, Lahiri, Pratik, Agha, Gul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines
by: He, Jiaao, et al.
Published: (2024)
by: He, Jiaao, et al.
Published: (2024)
Comprehensive Plugin-Based Monitoring of Nexflow Workflow Executions
by: Kharma, Sami, et al.
Published: (2026)
by: Kharma, Sami, et al.
Published: (2026)
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
by: Dutt, Anurag, et al.
Published: (2025)
by: Dutt, Anurag, et al.
Published: (2025)
A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices
by: Jallouli, Chaimae, et al.
Published: (2026)
by: Jallouli, Chaimae, et al.
Published: (2026)
LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming
by: Shen, Siyuan, et al.
Published: (2024)
by: Shen, Siyuan, et al.
Published: (2024)
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
by: Li, Zhuojin, et al.
Published: (2025)
by: Li, Zhuojin, et al.
Published: (2025)
Intent-driven scheduling of backup jobs
by: Dutta, Souvik, et al.
Published: (2024)
by: Dutta, Souvik, et al.
Published: (2024)
EfiMon: A Process Analyser for Granular Power Consumption Prediction
by: León-Vega, Luis G., et al.
Published: (2024)
by: León-Vega, Luis G., et al.
Published: (2024)
Optimization of a Radiofrequency Ablation FEM Application Using Parallel Sparse Solvers
by: Miletto, Marcelo Cogo, et al.
Published: (2024)
by: Miletto, Marcelo Cogo, et al.
Published: (2024)
Cost-Aware Logging: Measuring the Financial Impact of Excessive Log Retention in Small-Scale Cloud Deployments
by: Putra, Jody Almaida
Published: (2026)
by: Putra, Jody Almaida
Published: (2026)
On the Partitioning of GPU Power among Multi-Instances
by: Vamja, Tirth, et al.
Published: (2025)
by: Vamja, Tirth, et al.
Published: (2025)
Understanding Power Consumption Metric on Heterogeneous Memory Systems
by: Proaño, Andrès Rubio, et al.
Published: (2024)
by: Proaño, Andrès Rubio, et al.
Published: (2024)
Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
by: Lacey, Dane C., et al.
Published: (2024)
by: Lacey, Dane C., et al.
Published: (2024)
SmartWatts: Self-Calibrating Software-Defined Power Meter for Containers
by: Fieni, Guillaume, et al.
Published: (2020)
by: Fieni, Guillaume, et al.
Published: (2020)
GROMACS Unplugged: How Power Capping and Frequency Shapes Performance on GPUs
by: Afzal, Ayesha, et al.
Published: (2025)
by: Afzal, Ayesha, et al.
Published: (2025)
Synthesizing Proxy Applications for MPI Programs
by: Luo, Jiyu, et al.
Published: (2023)
by: Luo, Jiyu, et al.
Published: (2023)
Usability Evaluation of Cloud for HPC Applications
by: Sochat, Vanessa, et al.
Published: (2025)
by: Sochat, Vanessa, et al.
Published: (2025)
Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
by: Jain, Rutwik, et al.
Published: (2026)
by: Jain, Rutwik, et al.
Published: (2026)
Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks
by: Wang, Yidi, et al.
Published: (2024)
by: Wang, Yidi, et al.
Published: (2024)
Serverless Cold Starts and Where to Find Them
by: Joosen, Artjom, et al.
Published: (2024)
by: Joosen, Artjom, et al.
Published: (2024)
THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
by: Muhammad, Said, et al.
Published: (2025)
by: Muhammad, Said, et al.
Published: (2025)
Inductive Loop Analysis for Practical HPC Application Optimization
by: Schaad, Philipp, et al.
Published: (2025)
by: Schaad, Philipp, et al.
Published: (2025)
Denoising Application Performance Models with Noise-Resilient Priors
by: de Morais, Gustavo, et al.
Published: (2025)
by: de Morais, Gustavo, et al.
Published: (2025)
Optimizations on Graph-Level for Domain Specific Computations in Julia and Application to QED
by: Reinhard, Anton, et al.
Published: (2025)
by: Reinhard, Anton, et al.
Published: (2025)
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
by: Peng, Hongwu, et al.
Published: (2023)
by: Peng, Hongwu, et al.
Published: (2023)
Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control
by: Nguyen, Chanh, et al.
Published: (2025)
by: Nguyen, Chanh, et al.
Published: (2025)
Analytic Roofline Modeling and Energy Analysis of LULESH Proxy Application on Multi-Core Clusters
by: Afzal, Ayesha, et al.
Published: (2024)
by: Afzal, Ayesha, et al.
Published: (2024)
Serving Chain-structured Jobs with Large Memory Footprints with Application to Large Foundation Model Serving
by: Sun, Tingyang, et al.
Published: (2026)
by: Sun, Tingyang, et al.
Published: (2026)
Efficient Fault Localization in a Cloud Stack Using End-to-End Application Service Topology
by: Mathews, Dhanya R, et al.
Published: (2025)
by: Mathews, Dhanya R, et al.
Published: (2025)
Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors
by: Kozinov, Evgeny, et al.
Published: (2024)
by: Kozinov, Evgeny, et al.
Published: (2024)
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
by: Scheinert, Dominik, et al.
Published: (2023)
by: Scheinert, Dominik, et al.
Published: (2023)
Unlocking Python's Cores: Hardware Usage and Energy Implications of Removing the GIL
by: Salazar, José Daniel Montoya
Published: (2026)
by: Salazar, José Daniel Montoya
Published: (2026)
Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
by: De Sensi, Daniele, et al.
Published: (2025)
by: De Sensi, Daniele, et al.
Published: (2025)
A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems
by: Oztop, Beste, et al.
Published: (2026)
by: Oztop, Beste, et al.
Published: (2026)
Efficient Construction of Large Search Spaces for Auto-Tuning
by: Willemsen, Floris-Jan, et al.
Published: (2025)
by: Willemsen, Floris-Jan, et al.
Published: (2025)
Comparative Analysis of Large Language Model Inference Serving Systems: A Performance Study of vLLM and HuggingFace TGI
by: Kolluru, Saicharan
Published: (2025)
by: Kolluru, Saicharan
Published: (2025)
Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs
by: Cornelius, Melanie, et al.
Published: (2025)
by: Cornelius, Melanie, et al.
Published: (2025)
Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers
by: Zhuang, Chen, et al.
Published: (2024)
by: Zhuang, Chen, et al.
Published: (2024)
Profiling and optimization of multi-card GPU machine learning jobs
by: Lawenda, Marcin, et al.
Published: (2025)
by: Lawenda, Marcin, et al.
Published: (2025)
Optimal Parallel Scheduling under Concave Speedup Functions
by: Li, Chengzhang, et al.
Published: (2025)
by: Li, Chengzhang, et al.
Published: (2025)
Similar Items
-
FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines
by: He, Jiaao, et al.
Published: (2024) -
Comprehensive Plugin-Based Monitoring of Nexflow Workflow Executions
by: Kharma, Sami, et al.
Published: (2026) -
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
by: Dutt, Anurag, et al.
Published: (2025) -
A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices
by: Jallouli, Chaimae, et al.
Published: (2026) -
LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming
by: Shen, Siyuan, et al.
Published: (2024)