Index_I

H

Heterogeneity, 142–150, 190–191

of communication network, 147–150

performance issues, 147–148, 215–217

scalability issues, 148–150

of processors

machine arithmetic, 146–147

performance issues, 142–146, 190–191,196–199, 215–217

Heterogeneous MPI, see HMPI

Heterogeneous network of computers

performance model, 210, 244–247

Heterogeneous parallel algorithm

mapping to network of computers, 210–211, 247–253

performance model, 209, 215–217, 241–242

absolute volume of computation, 215–217

specification in mpC, 221

algorithmic patterns, 241–243

specification in mpC, 242–243

communication patterns, 234–238. See also Communication patterns

specification in mpC, 233–241

interaction of parallel processes, see algorithmic patterns

relative volume of computation, 190–194

specification in mpC, 191–194

volume of communication, 215–217

specification in mpC, 221

High Performance Fortran, see HPF

HMPI, 257–261

functions

HMPI_Finalize, 261

HMPI_Get_comm, 261

HMPI_Group_create, 258

HMPI_Group_free, 260

HMPI_Group_rank, 261

HMPI_Group_size, 261

HMPI_Init, 260

HMPI_Recon, 259

HMPI_Timeof, 259

interaction with MPI, 260–261

HPF, 130–138

abstract processors, 131–132

compilation, 134–137

ADAPTOR, 137

optimization of communications, 136–137

data distribution, 132–133

block, 132–133

cyclic, 132–133

directives, 131–138

INDEPENDENT, 131, 133–134

PROCESSORS, 131–132

DISTRIBUTE, 132–133

TEMPLATE, 137

ALIGN, 137

DYNAMIC, 137–138

REDISTRIBUTE, 138

REALIGN, 138

SHADOW, 138

RESIDENT, 138

examples

matrix multiplication on heterogeneous cluster, 144–145

matrix multiplication on MPP, 133–134

intrinsic functions, 131–132

NUMBER_OF_PROCESSORS, 131–132

PROCESSORS_SHAPE, 131