更好地定义SYCL内存一致性模型

Ben Ashbaugh, James C. Brodman, M. Kinsner, G. Lueck, S. Pennycook, Roland Schulz
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引用次数: 1

摘要

内存一致性模型是并行编程模型的关键组件,它描述了应用程序的有保证的行为,并为实现者提供了有效的优化。SYCL 2020规范通过采用c++ 20规范中的atomic_ref语法和类似于OpenCL 2.0规范中的内存作用域的概念向前迈进了一步,尽管SYCL内存模型正式化的进一步努力正在进行中,并将在未来的规范中取得进展。本技术演示将使用可访问的语言和示例,总结SYCL 2020规范中内存模型提供的保证和几个意想不到的非保证。该演讲将描述来自其他并行编程模型的内存模型,这些模型可能会影响SYCL内存模型,包括c++、OpenCL 2.0和Vulkan内存模型。该演讲还将描述SYCL规范中需要包含在SYCL内存模型中的独特特性,例如统一共享内存,它引入了在现有内存模型中尚未解决的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a Better Defined SYCL Memory Consistency Model
A memory consistency model is a key component of a parallel programming model that describes guaranteed behavior for applications and valid optimizations for implementers. The SYCL 2020 specification took a step forward by adopting the atomic_ref syntax from the C++20 specification and concepts similar to memory scopes from the OpenCL 2.0 specification, though further efforts to formalize the SYCL memory model are ongoing and will be progressed in future specifications. This technical presentation will summarize the guarantees and several unexpected non-guarantees that are provided by the memory model in the SYCL 2020 specification, using accessible language and examples. The talk will describe memory models from other parallel programming models that could inform and influence the SYCL memory model, including the C++, OpenCL 2.0, and Vulkan memory models. The talk will also describe features unique to the SYCL specification that will need to be included in the SYCL memory model, such as unified shared memory, which introduce challenges that have not been solved in existing memory models.
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