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Home > A Dynamic Dataflow Architecture for General-purpose Processors

DiAGĀ A new processor architecture that increases speedup and decreases energy consumption

A Dynamic Dataflow Architecture for General-purpose Processors [1]

Researchers at the University of Illinois Urbana-Champaign have developed a processor architecture that allows for greater efficiency in computing power and energy consumption. The architecture exploits parallelism through thread pipelining and an out-of-order loop system. This process is possible by utilizing more processing elements in the system. This method does create extra cost and is essentially a cost for efficiency trade-off. The system can be used in a variety of embedded systems such as CPUs and GPUs. The decrease in energy consumption can also be applied to servers and other large processing units that consumer a lot of energy and in the process and lot of heat.

Nam Sung
Kim

Inventors:

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[1] https://origin.otm.illinois.edu/technologies/dynamic-dataflow-architecture-general-purpose-processors