Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing

Hung-Wei Tseng, Qianchen Zhao, Yuxiao Zhou, Mark Gahagan, S. Swanson
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引用次数: 66

Abstract

In high performance computing systems, object deserialization can become a surprisingly important bottleneck-in our test, a set of general-purpose, highly parallelized applications spends 64% of total execution time deserializing data into objects. This paper presents the Morpheus model, which allows applications to move such computations to a storage device. We use this model to deserialize data into application objects inside storage devices, rather than in the host CPU. Using the Morpheus model for object deserialization avoids unnecessary system overheads, frees up scarce CPU and main memory resources for compute-intensive workloads, saves I/O bandwidth, and reduces power consumption. In heterogeneous, co-processor-equipped systems, Morpheus allows application objects to be sent directly from a storage device to a coprocessor (e.g., a GPU) by peer-to-peer transfer, further improving application performance as well as reducing the CPU and main memory utilizations. This paper implements Morpheus-SSD, an SSD supporting the Morpheus model. Morpheus-SSD improves the performance of object deserialization by 1.66×, reduces power consumption by 7%, uses 42% less energy, and speeds up the total execution time by 1.32×. By using NVMe-P2P that realizes peer-to-peer communication between Morpheus-SSD and a GPU, Morpheus-SSD can speed up the total execution time by 1.39× in a heterogeneous computing platform.
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Morpheus:高效地为异构计算创建应用对象
在高性能计算系统中,对象反序列化可能成为一个非常重要的瓶颈——在我们的测试中,一组通用的、高度并行化的应用程序花费了总执行时间的64%将数据反序列化为对象。本文提出了Morpheus模型,该模型允许应用程序将此类计算移动到存储设备上。我们使用该模型将数据反序列化到存储设备内的应用程序对象中,而不是在主机CPU中。使用Morpheus模型进行对象反序列化可以避免不必要的系统开销,为计算密集型工作负载释放稀缺的CPU和主内存资源,节省I/O带宽,并降低功耗。在异构,协处理器装备的系统中,Morpheus允许应用程序对象通过点对点传输直接从存储设备发送到协处理器(例如,GPU),进一步提高应用程序性能,并降低CPU和主内存的利用率。本文实现了一种支持Morpheus模型的SSD——Morpheus-SSD。Morpheus-SSD提高了1.66倍的对象反序列化性能,降低了7%的功耗,减少了42%的能耗,总执行时间提高了1.32倍。通过使用NVMe-P2P技术实现Morpheus-SSD与GPU之间的点对点通信,在异构计算平台上,Morpheus-SSD的总执行时间提高了1.39倍。
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