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Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores / / by Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
| Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores / / by Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel |
| Autore | Pagani Santiago |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (295 pages) : illustrations |
| Disciplina | 004.35 |
| Soggetto topico |
Electronic circuits
Microprocessors Electronics Microelectronics Circuits and Systems Processor Architectures Electronics and Microelectronics, Instrumentation |
| ISBN | 3-319-77479-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Background and Related Work -- System Model -- Experimental Framework -- Thermal Safe Power (TSP) -- Transient and Peak Temperature Computation based on Matrix Exponentials (MatEx) -- Selective Boosting for Multicore Systems (seBoost) -- Energy and Peak Power Efficiency Analysis for Simple Approximation Schemes -- Energy-Efficient Task-to-core Assignment for Homogeneous Clustered Manycores -- Energy-Efficient Task-to-core Assignment for Heterogeneous Clustered Manycores -- Conclusions. |
| Record Nr. | UNINA-9910299942703321 |
Pagani Santiago
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A journey of embedded and cyber-physical systems : essays dedicated to Peter Marwedel on the occasion of his 70th birthday / / editor, Jian-Jia Chen
| A journey of embedded and cyber-physical systems : essays dedicated to Peter Marwedel on the occasion of his 70th birthday / / editor, Jian-Jia Chen |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XV, 176 p. 118 illus., 54 illus. in color.) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
Computer engineering Internet of things Embedded computer systems Microelectronics Cooperating objects (Computer systems) |
| ISBN | 3-030-47487-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Peter Marwedel and the Department of Computer Science of the TU Dortmund University -- Chapter 2. Testing Implementation Soundness of a WCET Analysis Tool. Chapter 3. The Dynamic Random Access Memory Challenge in Embedded Computing Systems -- Chapter 4. On the Formalism and Properties of Timing Analyses in Real-Time Embedded Systems -- Chapter 5. ASSISTECH: An Accidental Journey into Assistive Technology -- Chapter 6. Reflecting on Self-aware Systems-on-Chip -- Chapter 7. Pushing the Limits of Parallel Discrete Event Simulation for SystemC -- Chapter 8. Impact of Negative Capacitance Transistor (NCFET) on Many-Core Systems -- Chapter 9. Run-Time Enforcement of Non-functional Program Properties on MPSoCs -- Chapter 10. Compilation for Real-Time Systems a Decade After Predator. |
| Record Nr. | UNINA-9910416118903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel
| Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2023] |
| Descrizione fisica | 1 online resource (xiii, 491 pages) : illustrations (chiefly colour) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico |
Machine learning
SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078594-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1 Introduction / Katharina Morik, Jian-Jia Chen -- ; 1.1 Embedded Systems and Sustainability -- ; 1.2 The Energy Consumption of Machine Learning -- ; 1.3 Memory Demands of Machine Learning -- ; 1.4 Structure of this Book -- ; 2 Data Gathering and Resource Measuring -- ; 2.1 Declarative Stream-Based Acquisition and Processing of OS Data with kCQL / Christoph Borchert, Jochen Streicher, Alexander Lochmann,Olaf Spinczyk -- ; 2.2 PhyNetLab Test Bed / Mojtaba Masoudinejad, Markus Buschhoff -- ; 2.3 Zero-Power/Low-Power Sensing / Andres Gomez, Lars Suter, Simon Mayer -- ; 3 Streaming Data, Small Devices -- ; 3.1 Summary Extraction from Streams / Sebastian Buschjäger, Katharina Morik -- ; 3.2 Coresets and Sketches for Regression Problems on Data Streams and Distributed Data / Alexander Munteanu -- ; 4 Structured Data -- ; 4.1 Spatio-Temporal Random Fields / Nico Piatkowski, Katharina Morik -- ; 4.2 The Weisfeiler-Leman Method for Machine Learning with Graphs / Nils Kriege, Christopher Morris -- ; 4.3 Deep Graph Representation Learning / Matthias Fey, Frank Weichert -- ; 4.4 High-Quality Parallel Max-Cut Approximation Algorithms for Shared Memory / Nico Bertram, Jonas Ellert, Johannes Fischer -- ; 4.5 Millions of Formulas / Lukas Pfahler -- ; 5 Cluster Analysis -- ; 5.1 Sparse Partitioning Around Medoids / Lars Lenssen, Erich Schubert -- ; 5.2 Clustering of Polygonal Curves and Time Series / Amer Krivošija -- ; 5.3 Data Aggregation for Hierarchical Clustering / Erich Schubert, Andreas Lang -- ; 5.4 Matrix Factorization with Binary Constraints / Sibylle Hess ; 6 Hardware-Aware Execution -- ; 6.1 FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks / Wayne Luk, Ce Guo -- ; 6.2 Processor-Specific Code Transformation / Henning Funke, Jens Teubner -- ; 6.3 Extreme Multicore Classification / Erik Schultheis, Rohit Babbar -- ; 6.4 Optimization of ML on Modern Multicore Systems / Helena Kotthaus, Peter Marwedel -- 7 Memory Awareness -- ; 7.1 Efficient Memory Footprint Reduction / Helena Kotthaus, Peter Marwedel -- ; 7.2 Machine Learning Based on Emerging Memories / Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch -- ; 7.3 Cache-Friendly Execution of Tree Ensembles / Sebastian Buschjäger, Kuan-Hsun Chen -- ; 8 Communication Awareness -- ; 8.1 Timing-Predictable Learning and Multiprocessor Synchronization / Kuan-Hsun Chen, Junjie Shi -- ; 8.2 Communication Architecture for Heterogeneous Hardware / Henning Funke, Jens Teubner -- ; 9 Energy Awareness -- ; 9.1 Integer Exponential Families / Nico Piatkowski -- ; 9.2 Power Consumption Analysis and Uplink Transmission Power / Robert Falkenberg. |
| Record Nr. | UNISA-996503570003316 |
| Berlin ; ; Boston : , : De Gruyter, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel
| Machine learning under resource constraints Fundamentals / / edited by Katharina Morik and Peter Marwedel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2023] |
| Descrizione fisica | 1 online resource (xiii, 491 pages) : illustrations (chiefly colour) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico |
Machine learning
SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078594-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1 Introduction / Katharina Morik, Jian-Jia Chen -- ; 1.1 Embedded Systems and Sustainability -- ; 1.2 The Energy Consumption of Machine Learning -- ; 1.3 Memory Demands of Machine Learning -- ; 1.4 Structure of this Book -- ; 2 Data Gathering and Resource Measuring -- ; 2.1 Declarative Stream-Based Acquisition and Processing of OS Data with kCQL / Christoph Borchert, Jochen Streicher, Alexander Lochmann,Olaf Spinczyk -- ; 2.2 PhyNetLab Test Bed / Mojtaba Masoudinejad, Markus Buschhoff -- ; 2.3 Zero-Power/Low-Power Sensing / Andres Gomez, Lars Suter, Simon Mayer -- ; 3 Streaming Data, Small Devices -- ; 3.1 Summary Extraction from Streams / Sebastian Buschjäger, Katharina Morik -- ; 3.2 Coresets and Sketches for Regression Problems on Data Streams and Distributed Data / Alexander Munteanu -- ; 4 Structured Data -- ; 4.1 Spatio-Temporal Random Fields / Nico Piatkowski, Katharina Morik -- ; 4.2 The Weisfeiler-Leman Method for Machine Learning with Graphs / Nils Kriege, Christopher Morris -- ; 4.3 Deep Graph Representation Learning / Matthias Fey, Frank Weichert -- ; 4.4 High-Quality Parallel Max-Cut Approximation Algorithms for Shared Memory / Nico Bertram, Jonas Ellert, Johannes Fischer -- ; 4.5 Millions of Formulas / Lukas Pfahler -- ; 5 Cluster Analysis -- ; 5.1 Sparse Partitioning Around Medoids / Lars Lenssen, Erich Schubert -- ; 5.2 Clustering of Polygonal Curves and Time Series / Amer Krivošija -- ; 5.3 Data Aggregation for Hierarchical Clustering / Erich Schubert, Andreas Lang -- ; 5.4 Matrix Factorization with Binary Constraints / Sibylle Hess ; 6 Hardware-Aware Execution -- ; 6.1 FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks / Wayne Luk, Ce Guo -- ; 6.2 Processor-Specific Code Transformation / Henning Funke, Jens Teubner -- ; 6.3 Extreme Multicore Classification / Erik Schultheis, Rohit Babbar -- ; 6.4 Optimization of ML on Modern Multicore Systems / Helena Kotthaus, Peter Marwedel -- 7 Memory Awareness -- ; 7.1 Efficient Memory Footprint Reduction / Helena Kotthaus, Peter Marwedel -- ; 7.2 Machine Learning Based on Emerging Memories / Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch -- ; 7.3 Cache-Friendly Execution of Tree Ensembles / Sebastian Buschjäger, Kuan-Hsun Chen -- ; 8 Communication Awareness -- ; 8.1 Timing-Predictable Learning and Multiprocessor Synchronization / Kuan-Hsun Chen, Junjie Shi -- ; 8.2 Communication Architecture for Heterogeneous Hardware / Henning Funke, Jens Teubner -- ; 9 Energy Awareness -- ; 9.1 Integer Exponential Families / Nico Piatkowski -- ; 9.2 Power Consumption Analysis and Uplink Transmission Power / Robert Falkenberg. |
| Record Nr. | UNINA-9910774817103321 |
| Berlin ; ; Boston : , : De Gruyter, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 20th ACM SIGPLAN/SIGBED international conference on languages, compilers, and tools for embedded systems / / Jian-Jia Chen, Aviral Shrivastava [editors]
| Proceedings of the 20th ACM SIGPLAN/SIGBED international conference on languages, compilers, and tools for embedded systems / / Jian-Jia Chen, Aviral Shrivastava [editors] |
| Pubbl/distr/stampa | New York, New York : , : Association for Computing Machinery, , 2019 |
| Descrizione fisica | 1 online resource |
| Disciplina | 005.453 |
| Soggetto topico | Compilers (Computer programs) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910412075403321 |
| New York, New York : , : Association for Computing Machinery, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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