Benchmarking, Measuring, and Optimizing - 16th BenchCouncil International Symposium, Bench 2024, Guangzhou, China, December 4-6, 2024, Revised Selected Papers

This book LNCS 15519 constitutes the refereed proceedings of the 16th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2024, held in Guangzhou, China, during December 4 6, 2024.
The 8 full papers were carefully reviewed and selected fom 10 submissions. They focus on latest innovations in benchmarking science and engineering across multiple disciplines, including benchmark and standard specifications, implementations, and validations.

Sommario

LWMEval Evaluating Large Scale Neural Networks for SixHour Weather Nowcasting.- DNN schedule A Predictive Scheduler for Minimizing Interference of Co-located DNN Workload.- Benchmarking Distributed Transactional Database Systems.- Benchmarking Edge Computing Systems for Autonomous Vehicles via CAV Motifs.- CaloBench A Benchmark Study of Generative Models for Calorimeter Showers.- StockNNEval Evaluating Neural Network Methods for Predicting Stock Trend.- StellarTop An Integrated Multi Topic Dataset on GitHub Repositories.- Evaluating Kernel Anti Exploitation Capabilities A Scalable and General Framework Based on Evaluatology.

Dettagli sul prodotto

• Con la collaborazione di: Sascha Hunold (Editore), Zhen Jia (Editore), Guoxin Kang (Editore), Weiwei Lin (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 25.04.2025
• EAN: 9789819650316
• ISBN: 978-981-9650-31-6
• Pagine: 145
• Dimensioni: 155 mm x 9 mm x 235 mm
• Peso: 254 g
• Illustrazioni: XI, 145 p. 50 illus., 44 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo