![]() ![]() These design considerations extend the core SENSEI architecture and include ideas like the need to accommodate flexibility in the choice of different partitioning methods, the ability for a data consumer to request and receive only the subset of data needed for its particular operation, and the ability to leverage any of several different data transport tools. This chapter focuses on the design considerations that underlie SENSEI’s implementation to this challenging problem. The resulting mapping and movement of data from M producer to N consumer ranks can have a significant impact on aggregate application performance, particularly when the data consumer requires only a subset of the overall data for its task. This problem is complicated by the heterogeneity that arises in producer-consumer pairs, such as when producer and consumer codes have different levels of concurrency, different scaling characteristics, or different data models. In the context of parallel and distributed computing on an HPC platform one of the central challenges is to determine a mapping of data from producer ranks to consumer ranks. In high-performance parallel in situ processing, the term in transit processing refers to those configurations where data must move from a producer to a consumer that runs on separate resources. On model: describe simulation data’s life using API and thenĬonfigure in text files what to do with that data in purpose of To relatively easy setup data transformations and connectionsīetween them and their placement on various locations, Pipeline in text files separate from simulation codes. Modern steering is a configuration of parts of visualization This lead to newĭemands on algorithms of correct data reduction, in purpose ofĬorrectness of various following data analysis. ![]() In non-interactive mode, extracting program’s in-memory dataĪnd saving it for ordinal post-hoc analysis. To solve this, steering technologies are used – with idea to run Thus computations cannot output all meaningful data easily. They have much more computing power than storage power. The main idea of computation steering is thatĬomputation and visualization are performed simultaneously.īy the way, modern HPC systems approached the disbalance: Is an analysis of ideas and current status of computation Performing interactive control over such programs. Running high-performance computing (HPC) programs and Computation steering is a scientific and technicalĪrea which provides methods of understanding a state of ![]()
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