skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: CoMD Implementation Suite in Emerging Programming Models

Software ·
OSTI ID:1240410
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8]
  1. Lawrence Livermore National Laboratory
  2. Purdue
  3. Barcelona Computing Center
  4. LSU
  5. University of Delaware
  6. NM State
  7. Imperial College
  8. University of Chicago

CoMD-Em is a software implementation suite of the CoMD [4] proxy app using different emerging programming models. It is intended to analyze the features and capabilities of novel programming models that could help ensure code and performance portability and scalability across heterogeneous platforms while improving programmer productivity. Another goal is to provide the authors and venders with some meaningful feedback regarding the capabilities and limitations of their models. The actual application is a classical molecular dynamics (MD) simulation using either the Lennard-Jones method (LJ) or the embedded atom method (EAM) for primary particle interaction. The code can be extended to support alternate interaction models. The code is expected ro run on a wide class of heterogeneous hardware configurations like shard/distributed/hybrid memory, GPU's and any other platform supported by the underlying programming model.

Short Name / Acronym:
CoMD-Em; 004650WKSTN00
Site Accession Number:
LLNL-CODE-683850
Version:
00
Programming Language(s):
Medium: X; OS: UNIX
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
Contributing Organization:
Lawrence Livermore National Laboratory
DOE Contract Number:
AC52-07NA27344
OSTI ID:
1240410
Country of Origin:
United States

Similar Records

ECP-copa/ExaMiniMD
Software · Tue Feb 13 00:00:00 EST 2018 · OSTI ID:1240410

Studying Performance Portability of LAMMPS across Diverse GPU-based Platforms
Conference · Sun May 01 00:00:00 EDT 2022 · OSTI ID:1240410

Studying performance portability of LAMMPS across diverse GPU-based platforms
Journal Article · Sun Sep 24 00:00:00 EDT 2023 · Concurrency and Computation. Practice and Experience · OSTI ID:1240410

Related Subjects