ENHANCING SCALABILITY AND EFFICIENCY OF THE TOUGH2_MP FOR LINUX CLUSTERS
Keni Zhang, Yu‐Shu Wu · University of North Texas Digital Library (University of North Texas) · 2006
TOUGH2_MP, the parallel version TOUGH2 code, has been enhanced by implementing more efficient communication schemes.This enhancement is achieved through reducing the amount of small-size messages and the volume of large messages.The message exchange speed is further improved by using non-blocking communications for both linear and nonlinear iterations.In addition, we have modified the AZTEC parallel linear-equation solver to nonblocking communication.Through the improvement of code structuring and bug fixing, the new version code is now more stable, while demonstrating similar or even better nonlinear iteration converging speed than the original TOUGH2 code.As a result, the new version of TOUGH2_MP is improved significantly in its efficiency.In this paper, the scalability and efficiency of the parallel code are demonstrated by solving two large-scale problems.The testing results indicate that speedup of the code may depend on both problem size and complexity.In general, the code has excellent scalability in memory requirement as well as computing time.