Dependable Computing and Online Testing in Adaptive and Configurable Systems
IEEE Design & Test
Computer
The MOLEN Polymorphic Processor
IEEE Transactions on Computers
Optimized ASIP Synthesis from Architecture Description Language Models
Optimized ASIP Synthesis from Architecture Description Language Models
Design flow for embedded FPGAs based on a flexible architecture template
Proceedings of the conference on Design, automation and test in Europe
Run-time system for an extensible embedded processor with dynamic instruction set
Proceedings of the conference on Design, automation and test in Europe
Designing Embedded Processors: A Low Power Perspective
Designing Embedded Processors: A Low Power Perspective
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
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Adaptive computing refers to the capability of a computing system to adapt one or more of its properties (e.g. performance) during runtime. There are diverse reasons of why it is advantageous for a computing system to adapt during runtime and there are various enabling techniques and paradigms that allow a computing system to perform such an adaptation. In the following, we limit our explanations of adaptive computing systems to the newest advances in embedded computing systems. Often, reconfigurable computing is referred to as adaptive computing. Actually, it corresponds to one of the key paradigms that along with application-specific instruction set processors enable adaptive computing. We will shortly discuss state-of-the-art in both areas.