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ORCIDMachine Learning under Resource Constraints, 2022
Volume 1: Fundamentals
- Katharina Morik, Peter Marwedel:
Machine Learning under Resource Constraints - Volume 1: Fundamentals. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078593-7
1 Introduction
- Katharina Morik, Jian-Jia Chen:
Introduction. 1-13
2 Data Gathering and Resource Measuring
- Data Gathering and Resource Measuring. 15
- Christoph Borchert, Jochen Streicher, Alexander Lochmann, Olaf Spinczyk:
Declarative Stream-based Acquisition and Processing of OSData with kCQL. 16-33 - Mojtaba Masoudinejad, Markus Buschhoff:
PhyNetLab Test Bed. 34-45 - Andres Gomez, Lars Suter, Simon Mayer:
Zero-Power/Low-Power Sensing. 46-69
3 Streaming Data, Small Devices
- Streaming Data, Small Devices. 71-72
- Sebastian Buschjäger, Katharina Morik:
Summary Extraction from Streams. 73-84 - Alexander Munteanu:
Coresets and Sketches for Regression Problems on DataStreams and Distributed Data. 85-97
4 Structured Data
- Structured Data. 99
- Nico Piatkowski, Katharina Morik:
Spatio-Temporal Random Fields. 100-115 - Nils M. Kriege, Christopher Morris:
The Weisfeiler-Leman Method for Machine Learning with Graphs. 116-128 - Matthias Fey, Frank Weichert:
Deep Graph Representation Learning. 129-143 - Nico Bertram, Jonas Ellert, Johannes Fischer:
High-Quality Parallel Max-Cut Approximation Algorithms forShared Memory. 144-159 - Lukas Pfahler:
Millions of Formulas. 160-177
5 Cluster Analysis
- Cluster Analysis. 179-181
- Lars Lenssen, Erich Schubert
:
Sparse Partitioning Around Medoids. 182-196 - Amer Krivosija:
Clustering of Polygonal Curves and Time Series. 197-214 - Erich Schubert, Andreas Lang:
Data Aggregation for Hierarchical Clustering. 215-226 - Sibylle Hess:
Matrix Factorization with Binary Constraints. 227-247
6 Hardware-Aware Execution
- Hardware-Aware Execution. 249
- Wayne Luk, Ce Guo:
FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks. 250-263 - Henning Funke, Jens Teubner:
Processor-Specific Code Transformation. 263-271 - Erik Schultheis, Rohit Babbar:
Extreme Multicore Classification. 249-285 - Helena Kotthaus, Peter Marwedel:
Optimization of ML on Modern Multicore Systems. 285-304
7 Memory Awareness
- Memory Awareness. 305
- Helena Kotthaus, Peter Marwedel:
Efficient Memory Footprint Reduction. 306-324 - Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch:
Machine Learning Based on Emerging Memories. 325-337 - Sebastian Buschjäger, Kuan-Hsun Chen:
Cache-Friendly Execution of Tree Ensembles. 338-357
8 Communication Awareness
- Communication Awareness. 359
- Kuan-Hsun Chen, Junjie Shi:
Timing-Predictable Learning and Multiprocessor Synchronization. 360-378 - Henning Funke, Jens Teubner:
Communication Architecture for Heterogeneous Hardware. 359-403
9 Energy Awareness
- Energy Awareness. 405
- Nico Piatkowski:
Integer Exponential Families. 406-422 - Robert Falkenberg:
Power Consumption Analysis and Uplink Transmission Power. 423-435
Bibliography
- Bibliography. 437-483
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