Cover Image

Static Estimation of Reuse Profiles for Arrays in Nested Loops

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Razzak, Abdur, Barai, Atanu, Santhi, Nandakishore, Badawy, Abdel-Hameed A.
Format:	Preprint
Published:	2025
Subjects:	Performance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Static Reuse Profile Estimation for Array Applications
by: Razzak, Abdur, et al.
Published: (2024)

Comparison of Vectorization Capabilities of Different Compilers for X86 and ARM CPUs
by: Sakib, Nazmus, et al.
Published: (2025)

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations
by: Barai, Atanu, et al.
Published: (2025)

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
by: Elshamy, Mohamed R., et al.
Published: (2025)

Fine-Grained Clustering-Based Power Identification for Multicores
by: Elshamy, Mohamed R., et al.
Published: (2024)

Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs
by: Elshamy, Mohamed R., et al.
Published: (2024)

HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
by: Hossain, Abrar, et al.
Published: (2025)

A Priori Loop Nest Normalization: Automatic Loop Scheduling in Complex Applications
by: Trümper, Lukas, et al.
Published: (2024)

Iterating Pointers: Enabling Static Analysis for Loop-based Pointers
by: Lepori, Andrea, et al.
Published: (2025)

Redundant Array Computation Elimination
by: Wang, Zixuan, et al.
Published: (2025)

From Profiling to Optimization: Unveiling the Profile Guided Optimization
by: Liu, Bingxin, et al.
Published: (2025)

DSO: A GPU Energy Efficiency Optimizer by Fusing Dynamic and Static Information
by: Wang, Qiang, et al.
Published: (2024)

Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation
by: Qin, Jianxing, et al.
Published: (2025)

Profiling Apple Silicon Performance for ML Training
by: Feng, Dahua, et al.
Published: (2025)

Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective
by: Benazir, Afsara, et al.
Published: (2025)

Atys: An Efficient Profiling Framework for Identifying Hotspot Functions in Large-scale Cloud Microservices
by: Sun, Jiaqi, et al.
Published: (2025)

OSCAR-P and aMLLibrary: Profiling and Predicting the Performance of FaaS-based Applications in Computing Continua
by: Sala, Roberto, et al.
Published: (2024)

FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels
by: Rajput, Saurabhsingh, et al.
Published: (2026)

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

Bridging Simulation and Silicon: A Study of RISC-V Hardware and FireSim Simulation
by: Barai, Atanu, et al.
Published: (2025)

Closed-Loop Integrated Sensing, Communication, and Control for Efficient Drone Flight
by: Li, Jingli, et al.
Published: (2026)

gpu tracker: Python Package for Tracking and Profiling GPU and Other Hardware Utilization in Both Desktop and High-Performance Computing Environments
by: Huckvale, Erik D., et al.
Published: (2024)

Statistical Modeling and Uncertainty Estimation of LLM Inference Systems
by: Ray, Kaustabha, et al.
Published: (2025)

CORD: Co-design of Resource Allocation and Deadline Decomposition with Generative Profiling
by: Gifford, Robert, et al.
Published: (2025)

Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network
by: Kanakagiri, Raghavendra, et al.
Published: (2023)

Non-Asymptotic Performance Analysis of DOA Estimation Based on Real-Valued Root-MUSIC
by: Liu, Junyang, et al.
Published: (2025)

Strassen Multisystolic Array Hardware Architectures
by: Pogue, Trevor E., et al.
Published: (2025)

gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks
by: Hu, Yigong, et al.
Published: (2025)

Inductive Loop Analysis for Practical HPC Application Optimization
by: Schaad, Philipp, et al.
Published: (2025)

Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays
by: Swatman, Stephen Nicholas, et al.
Published: (2023)

Interpreting Performance Profiles with Deep Learning
by: Liu, Zhuoran
Published: (2025)

Obfuscation as an Effective Signal for Prioritizing Cross-Chain Smart Contract Audits: Large-Scale Measurement and Risk Profiling
by: Zhao, Yao, et al.
Published: (2026)

Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
by: Yu, Junzhe, et al.
Published: (2025)

AutoLALA: Automatic Loop Algebraic Locality Analysis for AI and HPC Kernels
by: Zhu, Yifan, et al.
Published: (2026)

EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model
by: Pinnock, Alyssa, et al.
Published: (2025)

DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads
by: Zhao, Qidong, et al.
Published: (2024)

Estimating the Energy Footprint of Software Systems: a Primer
by: Castor, Fernando
Published: (2024)

Extrae.jl: Julia bindings for the Extrae HPC Profiler
by: Sanchez-Ramirez, Sergio, et al.
Published: (2025)

ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization
by: Jafari, Sadegh, et al.
Published: (2025)

Opening the Black Box: Performance Estimation during Code Generation for GPUs
by: Ernst, Dominik, et al.
Published: (2021)