UID:
(DE-602)almahu_9949709320302882
Format:
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:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819703159
Additional Edition:
Printed edition: ISBN 9789819703173
Language:
English
DOI:
10.1007/978-981-97-0316-6
URL:
https://doi.org/10.1007/978-981-97-0316-6
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