Quipu: A Statistical Model for Predicting Hardware Resources

Provided by: Association for Computing Machinery
Topic: Hardware
Format: PDF
There has been a steady increase in the utilization of heterogeneous architectures to tackle the growing need for computing performance and low-power systems. The execution of computation-intensive functions on specialized hardware enables to achieve substantial speedups and power savings. However, with a large legacy code base and software engineering experts, it is not at all obvious how to easily utilize these new architectures. As a result, there is a need for comprehensive tool support to bridge the knowledge gap of many engineers as well as to retarget legacy code.

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