Benchmarking, Measuring, and Optimizing 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers /
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....
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| Соавтор: | |
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| Другие авторы: | , , |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Редактирование: | 1st ed. 2024. |
| Серии: | Lecture Notes in Computer Science,
14521 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-981-97-0316-6 |
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Оглавление:
- 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.