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Heterogeneous systems consisting of multi-core CPUs, Graphics Processing Units (GPUs) and many-core accelerators have gained widespread use by application developers and data-center platform developers. Modern day heterogeneous systems have evolved to include advanced hardware and software features to support a spectrum of application patterns.(More)
—Heterogeneous computing using Graphic Processing Units (GPUs) has become an attractive computing model given the available scale of data-parallel performance and programming standards such as OpenCL. However, given the energy issues present with GPUs, some devices can exhaust power budgets quickly. Better solutions are needed to effectively exploit the(More)
Heterogeneous systems have grown in popularity within the commercial platform and application developer communities. We have seen a growing number of systems incorporating CPUs, Graphics Processors (GPUs) and Accelerated Processing Units (APUs combine a CPU and GPU on the same chip). These emerging class of platforms are now being targeted to accelerate(More)
• Study of power and energy profile of different optimization techniques used in heterogeneous applications • Evaluation of power/performance of such optimization techniques on heterogeneous applications such as FFT TOPICS ƒ Applications using OpenCL and power consumption of heterogeneous devices ƒ Fast Fourier Transforms (FFT) & evaluation methodology ƒ(More)
Graphics Processing Units (GPUs) have gained recognition as the primary form of accelerators for graphics rendering in the gaming domain. They have also been widely accepted as the computing platform of choice in many scientific and high performance computing domains. The parallelism offered by the GPUs is used for simultaneous processing of compute and(More)
As we move into a new era of heterogeneous multi-core systems, our ability to tune the performance and understand the reliability of both hardware and software becomes more challenging. Given the multiplicity of different design trade-offs in hardware and software, and the rate of introduction of new architectures and hardware/software features, it becomes(More)