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The increasing amount of computation in heterogeneous architectures (including CPU and GPU cores) puts a big burden on memory subsystem. With the gap between compute units and the memory performance getting wider, designing a platform with a responsive memory system becomes more challenging. This issue is exacerbated when memory systems have to satisfy a high volume of traffic generated from heterogeneous...
Modern mobile heterogeneous platforms have GPUs integrated with multicore processors to enable execution of highend graphics-intensive games. However, these gaming applications consume significant power due to heavy utilization of CPU-GPU resources, which drains battery resources that are critical for mobile devices. While Dynamic Voltage and Frequency Scaling (DVFS) techniques have been exploited...
Contemporary mobile platforms use mobile GPUs for graphics-intensive applications, and deploy proprietary Dynamic Voltage Frequency Scaling (DVFS) policies in an attempt to save energy without sacrificing quality. However, there have been no previous systematic studies to correlate the performance, power, and energy efficiency of mobile GPUs based on diverse graphics workloads to enable more efficient...
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