为什么MPI(被认为)如此复杂?第1部分:强进步是否简化了MPI?

Daniel J. Holmes, A. Skjellum, Derek Schafer
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引用次数: 1

摘要

在MPI中,强劲的进步是可选的。MPI允许仅在某些MPI过程调用期间进行进程(例如,更新消息传输状态机或与网络设备交互)的实现。一般来说,强进度意味着无需用户进程向MPI过程进行显式调用就可以实现进度(通过网络将数据从发送方传输到接收方并交换协议消息)。例如,给定给发送过程的与接收进程上预先发布的接收相匹配的数据将在适当的时候从源移动到目的地,而不管发送方或接收方进程在此期间调用MPI的频率(包括零次)。此外,一旦通信器组中的所有进程都执行了操作的开始步骤,非阻塞操作和持久集体操作就会在用户进程的“后台”工作。总的来说,强进度意味着增强通信和计算重叠的可能性,并通过消除用户线程的进度工作来提高过程执行时间的可预测性。本文假设强进度作为MPI的实现属性是可取的,并检查了是否强进度:本文探讨了这种可能性,并阐述了支撑MPI以及与正常和故障操作模式相互作用的原则。本文的关键贡献是得出结论,无论是从绝对性能、性能可移植性还是接口简单性来衡量,MPI的强进展并不比弱进展差,并且在大多数情况下,更有可能实现上述理想的属性。
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Why is MPI (perceived to be) so complex?: Part 1—Does strong progress simplify MPI?
Strong progress is optional in MPI. MPI allows implementations where progress (for example, updating the message-transport state machines or interaction with network devices) is only made during certain MPI procedure calls. Generally speaking, strong progress implies the ability to achieve progress (to transport data through the network from senders to receivers and exchange protocol messages) without explicit calls from user processes to MPI procedures. For instance, data given to a send procedure that matches a pre-posted receive on the receiving process is moved from source to destination in due course regardless of how often (including zero times) the sender or receiver processes call MPI in the meantime. Further, nonblocking operations and persistent collective operations work ‘in the background’ of user processes once all processes in the communicator’s group have performed the starting step for the operation. Overall, strong progress is meant to enhance the potential for overlap of communication and computation and improve predictability of procedure execution times by eliminating progress effort from user threads. This paper posits that strong progress is desirable as an MPI implementation property and examines whether strong progress: This paper explores such possibilities and sets forth principles that underpin MPI and interactions with normal and fault modes of operation. The key contribution of this paper is the conclusion that, whether measured by absolute performance, by performance portability, or by interface simplicity, strong progress in MPI is no worse than weak progress and, in most scenarios, has more potential to fulfil the aforementioned desirable attributes.
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