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35th ARCS 2022: Heilbronn, Germany
- Martin Schulz, Carsten Trinitis, Nikela Papadopoulou, Thilo Pionteck:
Architecture of Computing Systems - 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022, Proceedings. Lecture Notes in Computer Science 13642, Springer 2022, ISBN 978-3-031-21866-8
Energy Efficiency
- Karlo Kraljic, Daniel Kerger, Martin Schulz:
Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems. 3-16 - Kari Hepola, Joonas Multanen, Pekka Jääskeläinen:
Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism. 17-32 - Tobias Kaiser, Friedel Gerfers:
Pasithea-1: An Energy-Efficient Self-contained CGRA with RISC-Like ISA. 33-47
Applied Machine Learning
- Issa Saba, Eishi Arima, Dai Liu, Martin Schulz:
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning. 51-67 - Yufan Lu, Cong Gao, Rappy Saha, Sangeet Saha, Klaus D. McDonald-Maier, Xiaojun Zhai:
FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics. 68-82
Advanced Computing Techniques
- Daniel Maier, Stefan Schirmeister, Ben H. H. Juurlink:
Effects of Approximate Computing on Workload Characteristics. 85-99 - Karen Wintersperger, Hila Safi, Wolfgang Mauerer:
QPU-System Co-design for Quantum HPC Accelerators. 100-114
Hardware and Software System Security
- Nafiseh Moti, Reza Salkhordeh, André Brinkmann:
Protected Functions: User Space Privileged Function Calls. 117-131 - Ali Asghar, Amanda Katherine Robillard, Ilya Tuzov, Andreas Becher, Daniel Ziener:
Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs. 132-147 - Daniele Passaretti, Felix Boehm, Martin Wilhelm, Thilo Pionteck:
Hardware Isolation Support for Low-Cost SoC-FPGAs. 148-163
Reliable and Fault-Tolerant Systems
- Tobias Schwarz, Christian Hochberger:
Memristor Based FPGAs: Understanding the Effect of Configuration Memory Faults. 167-180 - Andrea Portaluri, Sarah Azimi, Corrado De Sio, Daniele Rizzieri, Luca Sterpone:
On the Reliability of Real-Time Operating System on Embedded Soft Processor for Space Applications. 181-193
Special Track: Organic Computing
- Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl:
NDNET: A Unified Framework for Anomaly and Novelty Detection. 197-210 - Timo Kisselbach, Simon Meckel, Mathias Pacher, Uwe Brinkschulte, Roman Obermaisser:
Organic Computing to Improve the Dependability of an Automotive Environment. 211-225 - Nils Lüling, Jonas Boysen, Henning Kuper, Anthony Stein:
A Context Aware and Self-improving Monitoring System for Field Vegetables. 226-240 - Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Semi-model-Based Reinforcement Learning in Organic Computing Systems. 241-255 - Connor Schönberner, Sven Tomforde:
Deep Reinforcement Learning with a Classifier System - First Steps. 256-270 - Anmol Surhonne, Nguyen Anh Vu Doan, Florian Maurer, Thomas Wild, Andreas Herkersdorf:
GAE-LCT: A Run-Time GA-Based Classifier Evolution Method for Hardware LCT Controlled SoC Performance-Power Optimization. 271-285
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