Format:
Online-Ressource, XVI, 189 p. 78 illus., 70 illus. in color.
,
online resource.
Edition:
1st ed. 2024
ISBN:
9789819703166
Series Statement:
Lecture Notes in Computer Science 14521
Content:
Zusammenfassung: 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
Note:
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 for Molecular 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 Generation Combining Statistical Modeling and Autoregressive Analysis -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis
Additional Edition:
Printed edition: 9789819703159
Additional Edition:
Printed edition: 9789819703173
Language:
English
DOI:
10.1007/978-981-97-0316-6
URN:
urn:nbn:de:101:1-2024021403151128209871
URL:
https://doi.org/10.1007/978-981-97-0316-6
URL:
https://nbn-resolving.org/urn:nbn:de:101:1-2024021403151128209871
URL:
https://d-nb.info/1319244394/34
URL:
https://doi.org/10.1007/978-981-97-0316-6
Bookmarklink