Atjaunināt sīkdatņu piekrišanu

Benchmarking, Measuring, and Optimizing: 16th BenchCouncil International Symposium, Bench 2024, Guangzhou, China, December 46, 2024, Revised Selected Papers [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 145 pages, height x width: 235x155 mm, 44 Illustrations, color; 6 Illustrations, black and white; XI, 145 p. 50 illus., 44 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15519
  • Izdošanas datums: 25-Apr-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819650313
  • ISBN-13: 9789819650316
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 109,38 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 128,69 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Benchmarking, Measuring, and Optimizing: 16th BenchCouncil International Symposium, Bench 2024, Guangzhou, China, December 46, 2024, Revised Selected PapersPalielināt
  • Formāts: Paperback / softback, 145 pages, height x width: 235x155 mm, 44 Illustrations, color; 6 Illustrations, black and white; XI, 145 p. 50 illus., 44 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15519
  • Izdošanas datums: 25-Apr-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819650313
  • ISBN-13: 9789819650316
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819650316.html
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 46, 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.
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.