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Benchmarking, Measuring, and Optimizing / Gao, Wanling ; Zhan, Jianfeng ; Fox, Geoffrey ; Lu, Xiaoyi ; Stanzione, Dan
TÃtulo : Benchmarking, Measuring, and Optimizing : Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14–16, 2019, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Gao, Wanling, ; Zhan, Jianfeng, ; Fox, Geoffrey, ; Lu, Xiaoyi, ; Stanzione, Dan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXVI, 362 p. 163 ilustraciones, 120 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-49556-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion IngenierÃa Informática Red de computadoras IngenierÃa de software Ordenadores Inteligencia artificial Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Hardware de la computadora Entornos informáticos Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas arbitradas del Segundo Simposio Internacional sobre Evaluación Comparativa, Medición y Optimización, Bench 2019, celebrado en Denver, CO, EE. UU., en noviembre de 2019. Los 20 artÃculos completos y 11 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 79 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: Mejor sesión de artÃculos; DesafÃos de IA en Cambircon usando AIBenc; DesafÃos de IA en RISC-V usando AIBench; DesafÃos de IA en X86 usando AIBench; DesafÃos de IA en reconocimiento facial 3D utilizando AIBench; Punto de referencia; IA y ventaja; Grandes datos; Centro de datos; Análisis de rendimiento; Computación cientÃfica. Nota de contenido: Best Paper Session -- AI Challenges on Cambircon using AIBenc -- AI Challenges on RISC-V using AIBench -- AI Challenges on X86 using AIBench -- AI Challenges on 3D Face Recognition using AIBench -- Benchmark -- AI and Edge -- Big Data -- Datacenter -- Performance Analysis -- Scientific Computing. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Second International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019, held in Denver, CO, USA, in November 2019. The 20 full papers and 11 short papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections named: Best Paper Session; AI Challenges on Cambircon using AIBenc; AI Challenges on RISC-V using AIBench; AI Challenges on X86 using AIBench; AI Challenges on 3D Face Recognition using AIBench; Benchmark; AI and Edge; Big Data; Datacenter; Performance Analysis; Scientific Computing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Benchmarking, Measuring, and Optimizing : Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14–16, 2019, Revised Selected Papers / [documento electrónico] / Gao, Wanling, ; Zhan, Jianfeng, ; Fox, Geoffrey, ; Lu, Xiaoyi, ; Stanzione, Dan, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVI, 362 p. 163 ilustraciones, 120 ilustraciones en color.
ISBN : 978-3-030-49556-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion IngenierÃa Informática Red de computadoras IngenierÃa de software Ordenadores Inteligencia artificial Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Hardware de la computadora Entornos informáticos Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas arbitradas del Segundo Simposio Internacional sobre Evaluación Comparativa, Medición y Optimización, Bench 2019, celebrado en Denver, CO, EE. UU., en noviembre de 2019. Los 20 artÃculos completos y 11 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados entre 79 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: Mejor sesión de artÃculos; DesafÃos de IA en Cambircon usando AIBenc; DesafÃos de IA en RISC-V usando AIBench; DesafÃos de IA en X86 usando AIBench; DesafÃos de IA en reconocimiento facial 3D utilizando AIBench; Punto de referencia; IA y ventaja; Grandes datos; Centro de datos; Análisis de rendimiento; Computación cientÃfica. Nota de contenido: Best Paper Session -- AI Challenges on Cambircon using AIBenc -- AI Challenges on RISC-V using AIBench -- AI Challenges on X86 using AIBench -- AI Challenges on 3D Face Recognition using AIBench -- Benchmark -- AI and Edge -- Big Data -- Datacenter -- Performance Analysis -- Scientific Computing. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Second International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019, held in Denver, CO, USA, in November 2019. The 20 full papers and 11 short papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections named: Best Paper Session; AI Challenges on Cambircon using AIBenc; AI Challenges on RISC-V using AIBench; AI Challenges on X86 using AIBench; AI Challenges on 3D Face Recognition using AIBench; Benchmark; AI and Edge; Big Data; Datacenter; Performance Analysis; Scientific Computing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Benchmarking, Measuring, and Optimizing : Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15–16, 2020, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Wolf, Felix, ; Gao, Wanling, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXVI, 233 p. 107 ilustraciones, 82 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-71058-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion Sistemas informáticos Red de computadoras Computadoras Propósitos especiales Aplicaciones informáticas y de sistemas de información Implementación de sistema informático Redes de comunicación informática Sistemas de propósito especial y basados ​​en aplicaciones Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas arbitradas posteriores a la conferencia del Tercer Simposio Internacional sobre Evaluación Comparativa, Medición y Optimización, Bench 2020, celebrado virtualmente en noviembre de 2020. Los 12 artÃculos completos revisados ​​y 1 artÃculo breve revisado presentados fueron cuidadosamente revisados ​​y seleccionados entre 28 presentaciones. . Los artÃculos están organizados en secciones temáticas denominadas: mejor sesión de artÃculos; gestión y almacenamiento de datos; supercomputación; evaluación comparativa en GPU; y aplicación y conjunto de datos. Nota de contenido: Best Paper Session -- Characterizing the Sharing Behavior of Applications using Software Transactional Memory -- swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor -- Data Management and Storage -- Impact of Commodity Networks on Storage Disaggregation with NVMe-oF -- K2RDF: A Distributed RDF Data Management System on Kudu and Impala -- Artemis: An Automatic Test Suite Generator for Large Scale OLAP Database -- OStoreBench: Benchmarking Distributed Object Storage Systems Using Real-world Application Scenarios -- ConfAdvisor: An Automatic Configuration Tuning Framework for NoSQL Database Services with a Black-box Approach -- Supercomputing -- Optimization of the Himeno Benchmark for SX-Aurora TSUBASA -- Benchmarking on GPU -- Parallel sorted sparse approximate inverse preconditioning algorithm on GPU -- ComScribe: Identifying Intra-node GPU communication -- Application and Dataset -- A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection -- MAS3K: An Open Dataset for Marine Animal Segmentation -- Benchmarking Blockchain Interactions in Mobile Edge Cloud Software Systems. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the Third International Symposium on Benchmarking, Measuring, and Optimization, Bench 2020, held virtually in November 2020. The 12 revised full papers and 1 revised short paper presented were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: best paper session; data management and storage; supercomputing; benchmarking on GPU; and application and dataset. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Benchmarking, Measuring, and Optimizing : Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15–16, 2020, Revised Selected Papers / [documento electrónico] / Wolf, Felix, ; Gao, Wanling, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXVI, 233 p. 107 ilustraciones, 82 ilustraciones en color.
ISBN : 978-3-030-71058-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion Sistemas informáticos Red de computadoras Computadoras Propósitos especiales Aplicaciones informáticas y de sistemas de información Implementación de sistema informático Redes de comunicación informática Sistemas de propósito especial y basados ​​en aplicaciones Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas arbitradas posteriores a la conferencia del Tercer Simposio Internacional sobre Evaluación Comparativa, Medición y Optimización, Bench 2020, celebrado virtualmente en noviembre de 2020. Los 12 artÃculos completos revisados ​​y 1 artÃculo breve revisado presentados fueron cuidadosamente revisados ​​y seleccionados entre 28 presentaciones. . Los artÃculos están organizados en secciones temáticas denominadas: mejor sesión de artÃculos; gestión y almacenamiento de datos; supercomputación; evaluación comparativa en GPU; y aplicación y conjunto de datos. Nota de contenido: Best Paper Session -- Characterizing the Sharing Behavior of Applications using Software Transactional Memory -- swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor -- Data Management and Storage -- Impact of Commodity Networks on Storage Disaggregation with NVMe-oF -- K2RDF: A Distributed RDF Data Management System on Kudu and Impala -- Artemis: An Automatic Test Suite Generator for Large Scale OLAP Database -- OStoreBench: Benchmarking Distributed Object Storage Systems Using Real-world Application Scenarios -- ConfAdvisor: An Automatic Configuration Tuning Framework for NoSQL Database Services with a Black-box Approach -- Supercomputing -- Optimization of the Himeno Benchmark for SX-Aurora TSUBASA -- Benchmarking on GPU -- Parallel sorted sparse approximate inverse preconditioning algorithm on GPU -- ComScribe: Identifying Intra-node GPU communication -- Application and Dataset -- A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection -- MAS3K: An Open Dataset for Marine Animal Segmentation -- Benchmarking Blockchain Interactions in Mobile Edge Cloud Software Systems. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the Third International Symposium on Benchmarking, Measuring, and Optimization, Bench 2020, held virtually in November 2020. The 12 revised full papers and 1 revised short paper presented were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: best paper session; data management and storage; supercomputing; benchmarking on GPU; and application and dataset. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Computing and Block Chain / Gao, Wanling ; Hwang, Kai ; Wang, Changyun ; Li, Weiping ; Qiu, Zhigang ; Wang, Lei ; Zhou, Aoying ; Qian, Weining ; Jin, Cheqing ; Zhang, Zhifei
TÃtulo : Intelligent Computing and Block Chain : First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 – November 3, 2020, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Gao, Wanling, ; Hwang, Kai, ; Wang, Changyun, ; Li, Weiping, ; Qiu, Zhigang, ; Wang, Lei, ; Zhou, Aoying, ; Qian, Weining, ; Jin, Cheqing, ; Zhang, Zhifei, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 508 p. 196 ilustraciones, 140 ilustraciones en color. ISBN/ISSN/DL: 978-981-1611605-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Aprendizaje automático Sistema de administración de base de datos cadena de bloques Inteligencia artificial Gestión de base de datos Cadenas de bloques (Bases de datos) Clasificación: 006.3 Resumen: Este libro constituye las actas posteriores a la conferencia arbitradas de la Segunda Conferencia Internacional sobre Computación Inteligente Federada y Cadena de Bloques del BenchCouncil, FICC 2020, celebrada en Qingdao, China, en octubre/noviembre de 2020. Los 32 artÃculos completos y 6 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 103 presentaciones. Los artÃculos de este volumen están organizados en secciones temáticas sobre IA y tecnologÃa médica; IA y big data; IA y cadena de bloques; IA y tecnologÃa educativa; e IA y tecnologÃa financiera. Nota de contenido: AI and Medical Technology -- BLU-GAN: Bi-Directional ConvLSTM U-Net with Generative Adversarial Training for Retinal Vessel Segmentation -- Choroidal Neovascularization Segmentation Based on 3D CNN with Cross Convolution Module -- Task-Free Recovery and Spatial Characterization of a Globally Synchronized Network from Resting-State EEG -- PRU-net: an U-net model with pyramid pooling and residual block for WMH segmentation -- Two-way Perceived Color Difference Saliency Algorithm for Image Segmentation of Port Wine Stains -- A new pathway to explore reliable biomarkers by detecting typical patients with mental disorders -- Activities Prediction of Drug Molecules by Using Automated Model Building with Descriptor Selection -- Survival Prediction of Glioma Tumors Using Feature Selection and Linear Regression -- AI and Big Data -- Root Cause Localization from Performance Monitoring Metrics Data with Multidimensional Attributes -- A Performance Benchmark for Stream Data Storage Systems -- Failure Characterization based on LSTM Networks for Bluegene/L System Logs -- Trac Crowd Congested Scene Recognition Based on Dilated Convolution Network -- Failure Prediction for Large-Scale Clusters Logs via Mining Frequent Patterns -- FLBench: An Isolated Data Island Benchmark Suite for Federated Learning -- Fake news detection using knowledge vector -- A reconfigurable electrical circuit auto-processing method for direct electromagnetic inversion -- Implementing Natural Language Processes to Natural Language Programming -- AI and Block Chain -- LSO: A Dynamic and Scalable Blockchain Structuring Framework -- CISV: A Cross-Blockchain Information Synchronization and Verification Mode -- A Formal Process Virtual Machine for EOS-based Smart Contract Security Verification -- AVEI: A Scientific Data Sharing Framework Based on Blockchain -- SCT-CC: A Supply Chain Traceability System Based on Cross-chain Technology of Blockchain -- Game-Theoretic Analysis on CBDC Adoption -- Design of experiment management system for stability control system based on blockchain technology -- A Cross-chain Gateway for Efficient Supply Chain Data Management -- AI and Education Technology -- Automatic essay scoring model based on multi-channel CNN and LSTM -- Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph -- Course Evaluation Analysis Based on Data Mining and AHP: A case study of Python courses on MOOC of Chinese universities -- Process-oriented definition of evaluation indicators, learning behavior collection and analysis: A case study -- The reform and construction of computer essential courses in New Liberal Arts aiming at improving Data Literacy -- Entity Coreference Resolution for Syllabus via Graph Neural Network -- An Exploration of the Ecosystem of General Education in Programming -- The New Theory of Learning in the Era of Educational Information 2.0Connected Constructivism -- AI and Financial Technology -- A Stock Index Prediction Method and Trading Strategy Based on the Combination of Lasso-Grid Search-Random Forest -- Dynamic Copula Analysis of the Effect of COVID-19 Pandemic on Global Banking Systemic Risk -- Real-Time Order Scheduling in Credit Factories: A Multi-Agent Reinforcement Learning Approach -- Predicting Digital Currency Price Using Broad Learning System and Genetic Algorithm -- Selective Multi-source Transfer Learning with Wasserstein Domain Distance for Financial Fraud Detection. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020. The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions. The papers of this volume are organized in topical sections on AI and medical technology; AI and big data; AI and block chain; AI and education technology; and AI and financial technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Computing and Block Chain : First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 – November 3, 2020, Revised Selected Papers / [documento electrónico] / Gao, Wanling, ; Hwang, Kai, ; Wang, Changyun, ; Li, Weiping, ; Qiu, Zhigang, ; Wang, Lei, ; Zhou, Aoying, ; Qian, Weining, ; Jin, Cheqing, ; Zhang, Zhifei, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XVI, 508 p. 196 ilustraciones, 140 ilustraciones en color.
ISBN : 978-981-1611605--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Aprendizaje automático Sistema de administración de base de datos cadena de bloques Inteligencia artificial Gestión de base de datos Cadenas de bloques (Bases de datos) Clasificación: 006.3 Resumen: Este libro constituye las actas posteriores a la conferencia arbitradas de la Segunda Conferencia Internacional sobre Computación Inteligente Federada y Cadena de Bloques del BenchCouncil, FICC 2020, celebrada en Qingdao, China, en octubre/noviembre de 2020. Los 32 artÃculos completos y 6 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionado entre 103 presentaciones. Los artÃculos de este volumen están organizados en secciones temáticas sobre IA y tecnologÃa médica; IA y big data; IA y cadena de bloques; IA y tecnologÃa educativa; e IA y tecnologÃa financiera. Nota de contenido: AI and Medical Technology -- BLU-GAN: Bi-Directional ConvLSTM U-Net with Generative Adversarial Training for Retinal Vessel Segmentation -- Choroidal Neovascularization Segmentation Based on 3D CNN with Cross Convolution Module -- Task-Free Recovery and Spatial Characterization of a Globally Synchronized Network from Resting-State EEG -- PRU-net: an U-net model with pyramid pooling and residual block for WMH segmentation -- Two-way Perceived Color Difference Saliency Algorithm for Image Segmentation of Port Wine Stains -- A new pathway to explore reliable biomarkers by detecting typical patients with mental disorders -- Activities Prediction of Drug Molecules by Using Automated Model Building with Descriptor Selection -- Survival Prediction of Glioma Tumors Using Feature Selection and Linear Regression -- AI and Big Data -- Root Cause Localization from Performance Monitoring Metrics Data with Multidimensional Attributes -- A Performance Benchmark for Stream Data Storage Systems -- Failure Characterization based on LSTM Networks for Bluegene/L System Logs -- Trac Crowd Congested Scene Recognition Based on Dilated Convolution Network -- Failure Prediction for Large-Scale Clusters Logs via Mining Frequent Patterns -- FLBench: An Isolated Data Island Benchmark Suite for Federated Learning -- Fake news detection using knowledge vector -- A reconfigurable electrical circuit auto-processing method for direct electromagnetic inversion -- Implementing Natural Language Processes to Natural Language Programming -- AI and Block Chain -- LSO: A Dynamic and Scalable Blockchain Structuring Framework -- CISV: A Cross-Blockchain Information Synchronization and Verification Mode -- A Formal Process Virtual Machine for EOS-based Smart Contract Security Verification -- AVEI: A Scientific Data Sharing Framework Based on Blockchain -- SCT-CC: A Supply Chain Traceability System Based on Cross-chain Technology of Blockchain -- Game-Theoretic Analysis on CBDC Adoption -- Design of experiment management system for stability control system based on blockchain technology -- A Cross-chain Gateway for Efficient Supply Chain Data Management -- AI and Education Technology -- Automatic essay scoring model based on multi-channel CNN and LSTM -- Research on Knowledge Graph in Education Field from the Perspective of Knowledge Graph -- Course Evaluation Analysis Based on Data Mining and AHP: A case study of Python courses on MOOC of Chinese universities -- Process-oriented definition of evaluation indicators, learning behavior collection and analysis: A case study -- The reform and construction of computer essential courses in New Liberal Arts aiming at improving Data Literacy -- Entity Coreference Resolution for Syllabus via Graph Neural Network -- An Exploration of the Ecosystem of General Education in Programming -- The New Theory of Learning in the Era of Educational Information 2.0Connected Constructivism -- AI and Financial Technology -- A Stock Index Prediction Method and Trading Strategy Based on the Combination of Lasso-Grid Search-Random Forest -- Dynamic Copula Analysis of the Effect of COVID-19 Pandemic on Global Banking Systemic Risk -- Real-Time Order Scheduling in Credit Factories: A Multi-Agent Reinforcement Learning Approach -- Predicting Digital Currency Price Using Broad Learning System and Genetic Algorithm -- Selective Multi-source Transfer Learning with Wasserstein Domain Distance for Financial Fraud Detection. Tipo de medio : Computadora Summary : This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020. The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions. The papers of this volume are organized in topical sections on AI and medical technology; AI and big data; AI and block chain; AI and education technology; and AI and financial technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]