The increasing demand for storage, networking and computation has driven intensification
of large complex data centers that run many of today's Internet, financial, commercial and …

Energy consumption has been widely studied in the computer architecture field for decades.
While the adoption of energy as a metric in machine learning is emerging, the majority of …

Temperature-aware design techniques have an important role to play in addition to
traditional techniques like power-aware design and package-and board-level thermal …

System energy models are important for energy optimization and management in mobile
systems. However, existing system energy models are built in a lab setting with the help from …

Computer architecture has experienced a major paradigm shift from focusing only on raw
performance to considering power-performance efficiency as the defining factor of the …

We present a statistical approach for estimating power consumption of GPU kernels. We use
the GPU performance counters that are exposed for CUDA applications, and train a linear …

Current approaches to power management are based on operating systems with full
knowledge of and full control over the underlying hardware; the distributed nature of multi …

Power densities have been increasing rapidly at all levels of server systems. To counter the
high temperatures resulting from these densities, systems researchers have recently started …

Actions usually taken to prevent processors from overheating, such as decreasing the
frequency or stopping the execution flow, also degrade performance. Multiprocessor …

Due to a server's non-proportional energy consumption, it is highly desirable to increase
server utilization in order to lower energy consumption and minimize environmental impact …