A model and compilation strategy for out-of-core data parallel programs
Rajesh R. Bordawekar, Alok Choudhary, Ken Kennedy, Charles H. Koelbel, Michael H. Paleczny · 1995
It is widely acknowledged in high-performance computing circles that parallel input/output needs substantial improvement in order to make scalable computers truly usable. We present a data storage model that allows processors independent access to their own data and a corresponding compilation strategy that integrates data-parallel computation with data distribution for out-of-core problems. Our results compare several communication methods and I/O optimizations using two out-of-core problems, Jacobi iteration and LU factorization.