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Volume 39 Issue 1, January 2025
Special Issue: Post ECP Special Issue
- Guest Editor: Michael Heroux
Special Issue Papers
Abstract
SLATE (Software for Linear Algebra Targeting Exascale) is a distributed, dense linear algebra library targeting both CPU-only and GPU-accelerated systems, developed over the course of the Exascale Computing Project (ECP). While it began with several ...Available accessResearch articleFirst published September 27, 2024pp. 3–17
Abstract
We present the GPU implementation efforts and challenges of the sparse solver package STRUMPACK. The code is made publicly available on github with a permissive BSD license. STRUMPACK implements an approximate multifrontal solver, a sparse LU ...Restricted accessResearch articleFirst published September 30, 2024pp. 18–31
Abstract
A significant challenge on an exascale computer is the speed at which we compute results exceeds by many orders of magnitude the speed at which we save these results. Therefore the Exascale Computing Project (ECP) ALPINE project focuses on providing ...Available accessResearch articleFirst published October 6, 2024pp. 32–51
Abstract
Computational workflows are a common class of application on supercomputers, yet the loosely coupled and heterogeneous nature of workflows often fails to take full advantage of their capabilities. We created Colmena to leverage the massive parallelism of ...Available accessResearch articleFirst published October 8, 2024pp. 52–64
Abstract
Accurately modeling real-world systems requires scientific applications at exascale to generate massive amounts of data and manage data storage efficiently. However, parallel input and output (I/O) faces challenges due to new application workflows and the ...Restricted accessResearch articleFirst published October 16, 2024pp. 65–78
Abstract
Ytopt is a Python machine-learning-based autotuning software package developed within the ECP PROTEAS-TUNE project. The ytopt software adopts an asynchronous search framework that consists of sampling a small number of input parameter configurations and ...Available accessResearch articleFirst published October 7, 2024pp. 79–103
Abstract
HPC trends favor algorithms and implementations that reduce data motion relative to FLOPS. We investigate the use of lossy compressed data arrays in place of traditional IEEE floating point arrays to store the primary data of calculations. Simulation is ...Available accessResearch articleFirst published October 23, 2024pp. 104–122
Abstract
Many complex systems can be accurately modeled as a set of coupled time-dependent partial differential equations (PDEs). However, solving such equations can be prohibitively expensive, easily taxing the world’s largest supercomputers. One pragmatic ...Available accessResearch articleFirst published October 4, 2024pp. 123–146
PaRSEC: Scalability, flexibility, and hybrid architecture support for task-based applications in ECP
Abstract
This paper highlights the most significant enhancements made to PaRSEC, a scalable task-based runtime system designed for hybrid machines, during the Exascale Computing Project (ECP). The enhancements focus on expanding the capabilities of PaRSEC to ...Available accessResearch articleFirst published October 16, 2024pp. 147–166
Abstract
ArborX is a performance portable geometric search library developed as part of the Exascale Computing Project (ECP). In this paper, we explore a collaboration between ArborX and a cosmological simulation code HACC. Large cosmological simulations on ...Available accessResearch articleFirst published November 8, 2024pp. 167–176
Abstract
libEnsemble is a Python-based toolkit for running dynamic ensembles, developed as part of the DOE Exascale Computing Project. The toolkit utilizes a unique generator–simulator–allocator paradigm, where generators produce input for simulators, simulators ...Restricted accessResearch articleFirst published November 18, 2024pp. 177–192
Abstract
The Exascale Computing Project (ECP)’s Simplified Interface to Complex Memories (SICM) effort focuses on developing universal interfaces for discovering, managing, and sharing data across complex memory hierarchies. These facilitate the exploitation of ...Restricted accessResearch articleFirst published November 3, 2024pp. 193–207
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