GitHub - LLNL/metall: Persistent memory allocator for data-centric

Towards A Massive-scale Distributed Neighborhood Graph Construction

Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry - M Asch, T Moore, R Badia, M Beck, P Beckman

Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA - Arturo Vargas, Thomas M Stitt, Kenneth Weiss, Vladimir Z Tomov, Jean-Sylvain Camier, Tzanio Kolev

PDF) Preliminary Experience with OpenMP Memory Management Implementation

Metall: A persistent memory allocator for data-centric analytics - ScienceDirect

GitHub - dice-group/metall-fork: Persistent memory allocator for data- centric analytics

GitHub - paulhuggett/extalloc: A storage allocator using external metadata

Towards A Massive-scale Distributed Neighborhood Graph Construction

Metall: A persistent memory allocator for data-centric analytics - ScienceDirect

GitHub - Beliavsky/Fortran-code-on-GitHub: Directory of Fortran codes on GitHub, arranged by topic

Approaches of enhancing interoperations among high performance computing and big data analytics via augmentation

Orchestration of materials science workflows for heterogeneous resources at large scale - Naweiluo Zhou, Giorgio Scorzelli, Jakob Luettgau, Rahul R Kancharla, Joshua J Kane, Robert Wheeler, Brendan P Croom, Pania Newell, Valerio

Inq, a Modern GPU-Accelerated Computational Framework for (Time-Dependent) Density Functional Theory

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments

Demonstrating GPU code portability and scalability for radiative heat transfer computations - ScienceDirect