Optimization of Condensed Matter Physics Application with OpenMP Tasking Model

Conference · Thu Aug 01 04:00:00 EDT 2019

DOI:https://doi.org/10.1007/978-3-030-28596-8_20· OSTI ID:1564203

Criado, Joel ^[1]; Garcia, Marta ^[1]; Labarta, Jesus ^[1]; Chatterjee, Ronnie ^[2]; Hernandez Mendoza, Oscar ^[2]; Sirvent, Raul ^[1]; Alvarez, Gonzalo ^[2]

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1. Barcelona Supercomputing Center
2. ORNL

The Density Matrix Renormalization Group (DMRG++) is a condensed matter physics application used to study superconductivity properties of materials. It’s main computations consist of calculating hamiltonian matrix which requires sparse matrix-vector multiplications. This paper presents task-based parallelization and optimization strategies of the Hamiltonian algorithm. The algorithm is implemented as a mini-application in C++ and parallelized with OpenMP. The optimization leverages tasking features, such as dependencies or priorities included in the OpenMP standard 4.5. The code refactoring targets performance as much as programmability. The optimized version achieves a speedup of 8.0× with 8 threads and 20.5× with 40 threads on a Power9 computing node while reducing the memory consumption to 90 MB with respect to the original code, by adding less than ten OpenMP directives.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1564203
• Country of Publication: United States
• Language: English