Presentation
Orchid: Towards Heterogeneous Batched Eigenvalue Solvers
DescriptionThere is a growing need for the efficient solution of many small eigenvalue problems (up to N = 1500) that arise in emerging scientific applications. These small-to-medium sized problems present unique computational challenges, particularly when thousands or millions of such problems must be solved repeatedly. This work presents Orchid, a novel distributed, heterogeneous, batched eigenvalue solver based on the IRIS runtime. Orchid can utilize all compute platforms in both heterogeneous nodes and clusters by harnessing the capabilities of the IRIS architecture. Orchid leverages heterogeneous architectures across multiple nodes by partitioning the application task DAG intelligently and orchestrates multiple instances of the IRIS runtime via MPI. We evaluate our proposal against two heterogeneous hardware configurations and Frontier, demonstrating Orchid’s performance utilizing both intra-node and inter-node heterogeneity.
Event Type
Best Poster Presentations (Research, ACM SRC Grad/Undergrad)
TimeWednesday, 19 November 20251:30pm - 1:45pm CST
Location230
Archive
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