论文标题
HEP处理框架的演变
Evolution of HEP Processing Frameworks
论文作者
论文摘要
HEP数据处理软件必须支持许多实验的不同物理需求。对于对撞机和中微子环境，HEP实验通常使用数据处理框架来管理其大规模数据处理需求的计算复杂性。数据处理框架在这个十年中面临着新的挑战。从过去的三十年中，计算景观发生了变化。单核X86批次作业在网格站点上运行。框架现在必须处理不同平台的异质混合物：多核机，不同的CPU架构和计算加速器；以及不同的计算站点：网格，云和高性能计算。我们更详细地描述了这些挑战，以及框架如何面对它们。鉴于他们的历史成功，框架将继续是关键的软件系统，使HEP实验能够满足其计算需求。框架过去曾经过风化计算革命。他们将在HEP社区的支持下再次这样做
HEP data-processing software must support the disparate physics needs of many experiments. For both collider and neutrino environments, HEP experiments typically use data-processing frameworks to manage the computational complexities of their large-scale data processing needs. Data-processing frameworks are being faced with new challenges this decade. The computing landscape has changed from the past three decades of homogeneous single-core x86 batch jobs running on grid sites. Frameworks must now work on a heterogeneous mixture of different platforms: multi-core machines, different CPU architectures, and computational accelerators; and different computing sites: grid, cloud, and high-performance computing. We describe these challenges in more detail and how frameworks may confront them. Given their historic success, frameworks will continue to be critical software systems that enable HEP experiments to meet their computing needs. Frameworks have weathered computing revolutions in the past; they will do so again with support from the HEP community
