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Performance Characterisation and Simulation of Intel's Integrated GPU Architecture

机译:英特尔集成GPU架构的性能表征和仿真

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Integrated GPUs (iGPUs) are ubiquitous in today's client devices such as laptops and desktops. Examples include Intel's HD or Iris Graphics and AMD's APUs. An iGPU resides on the same chip as the CPU, which is in contrast to a conventional discrete GPU that would typically be connected over the PCI-E bus. Much like discrete GPUs, iGPUs are also capable of general purpose computation in addition to traditional graphics roles. Further, iGPUs have some interesting differences compared to traditional GPUs such as a cache-coherent memory hierarchy and a shared last level cache with the CPU. Despite their wide spread use, they are not studied very extensively. To the best of our knowledge, this paper introduces the first open source trace generation and microarchitectural simulation framework for Intel's integrated GPUs. We characterise the performance of Intel's Skylake and Kabylake GPUs through detailed microbenchmarks, and use the performance evaluations to guide our models and validate the simulator.
机译:集成式GPU(iGPU)在当今的客户端设备(如笔记本电脑和台式机)中无处不在。例如,英特尔的HD或Iris Graphics和AMD的APU。 iGPU与CPU驻留在同一芯片上,这与通常通过PCI-E总线连接的传统分立GPU形成对比。与离散GPU一样,iGPU除了传统的图形角色外,还能够进行通用计算。此外,与传统GPU相比,iGPU具有一些有趣的差异,例如缓存一致性内存层次结构以及与CPU共享的最后一级缓存。尽管它们得到了广泛的应用,但对其的研究还不够广泛。据我们所知,本文介绍了第一个用于英特尔集成GPU的开源跟踪生成和微体系结构仿真框架。我们通过详细的微基准来表征英特尔Skylake和Kabylake GPU的性能,并使用性能评估来指导我们的模型并验证模拟器。

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