Benchmarking, Measuring, and Optimizing : 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers / edited by Sascha Hunold, Biwei Xie, Kai Shu.

Format:

Book

Author/Creator:

Hunold, Sascha.

Contributor:

Xie, Biwei.

Shu, Kai.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14521

Language:

English

Subjects (All):

Application software.

Computer and Information Systems Applications.

Local Subjects:

Computer and Information Systems Applications.

Physical Description:

1 online resource (201 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Hunold, Sascha Benchmarking, Measuring, and Optimizing

ISBN:

9789819703166

9819703166

OCLC:

1422201543