Browsing by Author "Ponnusamy, Ravi"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item A Manual for the CHAOS Runtime Library(1998-10-15) Saltz, Joel; Ponnusamy, Ravi; Sharma, Shamik D.; Moon, Bongki; Hwang, Yuan-Shin; Uysal, Mustafa; Das, RajaProcedures are presented that are designed to help users efficiently program irregular problems (e.g. unstructured mesh sweeps, sparse matrix codes, adaptive mesh partial dif- ferential equations solvers) on distributed memory machines. These procedures are also designed for use in compilers for distributed memory multiprocessors. The portable CHAOS pro- cedures are designed to support dynamic data distributions and to automatically generate send and receive messsage by capturing communications patterns at runtime. (Also cross-referenced as UMIACS-TR-95-34)Item Run-time and Compile-time Support for Adaptive Irregular Problems(1998-10-15) Sharma, Shamik D.; Ponnusamy, Ravi; Moon, Bongki; Hwang, Yuan-Shin; Das, Raja; Saltz, JoelIn adaptive irregular problems the data arrays are accessed via indirection arrays, and data access patterns change during computation. Implementing such problems on distributed memory machines requires support for dynamic data partitioning, efficient preprocessing and fast data migration. This research presents efficient runtime primitives for such problems. This new set of primitives is part of the CHAOS library. It subsumes the previous PARTI library which targeted only static irregular problems. To demonstrate the efficacy of the runtime support, two real adaptive irregular applications have been parallelized using CHAOS primitives: a molecular dynamics code (CHARMM) and a particle-in-cell code (DSMC). The paper also proposes extensions to Fortran D which can allow compilers to generate more efficient code for adaptive problems. These language extensions have been implemented in the Syracuse Fortran 90D/HPF prototype compiler. The performance of the compiler parallelized codes is compared with the hand parallelized versions. (Also cross-referenced as UMIACS-TR-94-55)