:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zarkadas, Ioannis, Tomlinson, Amanda, Cidon, Asaf, Kasikci, Baris, Weisse, Ofir
Format:	Preprint
Publié:	2025
Sujets:	Performance Distributed, Parallel, and Cluster Computing Machine Learning
Accès en ligne:	https://arxiv.org/abs/2503.14781
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
par: Katagiri, Takahiro, et autres
Publié: (2024)

A Comparison of the Performance of the Molecular Dynamics Simulation Package GROMACS Implemented in the SYCL and CUDA Programming Models
par: Apanasevich, L., et autres
Publié: (2024)

PlantD: Performance, Latency ANalysis, and Testing for Data Pipelines -- An Open Source Measurement, Testing, and Simulation Framework
par: Bogart, Christopher, et autres
Publié: (2025)

Modeling the Impact of Fiber Latency on Compute-Communication Overlap in Geo-Distributed Multi-Datacenter AI Training
par: Papavasileiou, Ioannis, et autres
Publié: (2026)

When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing Applications
par: Henning, Sören, et autres
Publié: (2025)

Cloud Performance Decomposition for Long-Term Performance Engineering: A Case Study
par: Debnath, Shimul, et autres
Publié: (2026)

LLload: Simplifying Real-Time Job Monitoring for HPC Users
par: Byun, Chansup, et autres
Publié: (2024)

Reducing Tail Latencies Through Environment- and Neighbour-aware Thread Management
par: Jeffery, Andrew, et autres
Publié: (2024)

Experimental Assessment of Containers Running on Top of Virtual Machines
par: Aqasizade, Hossein, et autres
Publié: (2024)

PICO: Performance Insights for Collective Operations
par: Pasqualoni, Saverio, et autres
Publié: (2025)

CGSim: A Simulation Framework for Large Scale Distributed Computing Environment
par: Vatsavai, Sairam Sri, et autres
Publié: (2025)

Automated Calibration of Parallel and Distributed Computing Simulators: A Case Study
par: McDonald, Jesse, et autres
Publié: (2024)

Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks
par: Wang, Yidi, et autres
Publié: (2024)

Should I Run My Cloud Benchmark on Black Friday?
par: Henning, Sören, et autres
Publié: (2025)

A Performance Analysis of BFT Consensus for Blockchains
par: Chan, J. D., et autres
Publié: (2024)

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

Automated Programmatic Performance Analysis of Parallel Programs
par: Cankur, Onur, et autres
Publié: (2024)

BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems
par: Wang, Yuxin, et autres
Publié: (2024)

Temporal Load Imbalance on Ondes3D Seismic Simulator for Different Multicore Architectures
par: Solórzano, Ana Luisa Veroneze, et autres
Publié: (2024)

Performance Debugging through Microarchitectural Sensitivity and Causality Analysis
par: Dutilleul, Alban, et autres
Publié: (2024)

Denoising Application Performance Models with Noise-Resilient Priors
par: de Morais, Gustavo, et autres
Publié: (2025)

Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
par: Aqasizade, Hossein, et autres
Publié: (2024)

Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
par: Banegas-Luna, Antonio Jesús, et autres
Publié: (2025)

Taking GPU Programming Models to Task for Performance Portability
par: Davis, Joshua H., et autres
Publié: (2024)

eBPF-Based Instrumentation for Generalisable Diagnosis of Performance Degradation
par: Landau, Diogo, et autres
Publié: (2025)

KEET: Explaining Performance of GPU Kernels Using LLM Agents
par: Davis, Joshua H., et autres
Publié: (2026)

Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity
par: Bolet, Gregory, et autres
Publié: (2025)

High-Performance Portable GPU Primitives for Arbitrary Types and Operators in Julia
par: Pilliat, Emmanuel
Publié: (2026)

SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
par: Kulkarni, Apurv Deepak, et autres
Publié: (2025)

Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles
par: Arif, Moiz, et autres
Publié: (2026)

GROMACS Unplugged: How Power Capping and Frequency Shapes Performance on GPUs
par: Afzal, Ayesha, et autres
Publié: (2025)

Scalable Systems and Software Architectures for High-Performance Computing on cloud platforms
par: Ramesh, Risshab Srinivas
Publié: (2024)

Enhancing Performance Insight at Scale: A Heterogeneous Framework for Exascale Diagnostics
par: Grbic, Dragana
Publié: (2026)

Evaluating HPC-Style CPU Performance and Cost in Virtualized Cloud Infrastructures
par: Tharwani, Jay, et autres
Publié: (2025)

Performance optimization of BLAS algorithms with band matrices for RISC-V processors
par: Pirova, Anna, et autres
Publié: (2025)

Towards High-Performance and Portable Molecular Docking on CPUs through Vectorization
par: Accordi, Gianmarco, et autres
Publié: (2025)

RAID Organizations for Improved Reliability and Performance: A Not Entirely Unbiased Tutorial
par: Thomasian, Alexander
Publié: (2023)

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

Beyond Thread States: Diagnosing Performance Degradation with eBPF and Thread Dynamics
par: Landau, Diogo, et autres
Publié: (2026)

Cost-Performance Evaluation of General Compute Instances: AWS, Azure, GCP, and OCI
par: Tharwani, Jay, et autres
Publié: (2024)