Benchmarking, Measuring, and Optimizing

15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3¿5, 2023, Revised Selected Papers
Herausgegeben:Hunold, Sascha; Xie, Biwei; Shu, Kai

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3-5, 2023.
The 11 full papers included in this book were carefully reviewed and selected from 20 submissions. The Bench symposium invites papers that exhibit three defining characteristics: (1) It provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community; (2) It is a multi-disciplinary conference, attracting researchers and practitioners from different communities, including architecture, systems, algorithms, and applications; (3) The program features both invited and contributed talks.

Produktdetails

• Lecture Notes in Computer Science 14521
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-0315-9
• 1st ed. 2024
• Seitenzahl: 208
• Erscheinungstermin: 14. Februar 2024
• Englisch
• Abmessung: 235mm x 155mm x 12mm
• Gewicht: 324g
• ISBN-13: 9789819703159
• ISBN-10: 9819703158
• Artikelnr.: 69711645

Inhaltsangabe

ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education.- Generating High Dimensional Test Data for Topological Data Analysis.- Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields.- MolBench: A Benchmark of AI Models forMolecular Property Prediction.- Cross-Layer Profiling of IoTBench.- MMDBench: A Benchmark for Hybrid Query in Multimodal Database.- Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data.- A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads.- AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models.- Automated HPC Workload GenerationCombining Statistical Modeling and Autoregressive Analysis.- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis.