Association for Computing Machinery
The workloads in modern Chip-Multi-Processors (CMP) are becoming increasingly diversified, creating different resource demands on hardware substrate. It is necessary to allocate hardware resources based on the needs of the workloads in order to improve system efficiency and/or ensure Quality-of-Service (QoS) at certain performance levels. Therefore, it is extremely important to identify the resource demand of the workload in terms of the performance and power efficiency. Existing models are inappropriate for estimating resource demands as they require either partial simulations or time-consuming training. This paper presents an integrated framework that is able to identify the single-resource or multi-resource demands on an array of hardware resources ranging from the issue width of the processor to the memory bandwidth.