Benchmarking, Measuring, and Optimizing [[electronic resource] ] : 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers / / edited by Ana Gainaru, Ce Zhang, Chunjie Luo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (187 pages) |
Disciplina | 004 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Application software
Computer and Information Systems Applications |
Soggetto non controllato | Mathematics |
ISBN |
9783031311802
9783031311796 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Architecture and System -- A Quantitative Analysis of OpenMP Task Runtime Systems -- EAIBench: An Energy Efficiency Benchmark for AI Training -- MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-based IoT Deployments -- Algorithm and Dataset -- ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes -- Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network -- BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark -- Benchmarking Object Detection Models with Mummy Nuts Datasets -- Network and Memory -- An Analysis of Long-tailed Network Latency Distribution and Background Traffic on Dragonfly+ -- MCCBench: A C10M Benchmark Oriented to Interactive Network Services -- STAMP-Rust: Language and Performance Comparison to C on Transactional Benchmarks. |
Record Nr. | UNISA-996534467003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Benchmarking, Measuring, and Optimizing : 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers / / edited by Ana Gainaru, Ce Zhang, Chunjie Luo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (187 pages) |
Disciplina | 004 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Application software
Computer and Information Systems Applications |
Soggetto non controllato | Mathematics |
ISBN |
9783031311802
9783031311796 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Architecture and System -- A Quantitative Analysis of OpenMP Task Runtime Systems -- EAIBench: An Energy Efficiency Benchmark for AI Training -- MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-based IoT Deployments -- Algorithm and Dataset -- ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes -- Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network -- BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark -- Benchmarking Object Detection Models with Mummy Nuts Datasets -- Network and Memory -- An Analysis of Long-tailed Network Latency Distribution and Background Traffic on Dragonfly+ -- MCCBench: A C10M Benchmark Oriented to Interactive Network Services -- STAMP-Rust: Language and Performance Comparison to C on Transactional Benchmarks. |
Record Nr. | UNINA-9910725084403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Distributed machine learning and gradient optimization / / edited by Jiawei Jiang, Bin Cui, Ce Zhang |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (179 pages) |
Disciplina | 943.005 |
Collana | Big Data Management Ser. |
Soggetto topico | Data mining |
ISBN | 981-16-3420-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996464549003316 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Distributed machine learning and gradient optimization / / edited by Jiawei Jiang, Bin Cui, Ce Zhang |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (179 pages) |
Disciplina | 943.005 |
Collana | Big Data Management |
Soggetto topico | Data mining |
ISBN |
981-16-3419-X
981-16-3420-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743351903321 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Distributed machine learning and gradient optimization / / edited by Jiawei Jiang, Bin Cui, Ce Zhang |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (179 pages) |
Disciplina | 943.005 |
Collana | Big Data Management |
Soggetto topico | Data mining |
ISBN |
981-16-3419-X
981-16-3420-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996549371103316 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|