In this paper, we describe our experience with using an abstract integer-set framework to
develop the Rice dHPF compiler, a compiler for High Performance Fortran. We present …

This article presents various data redistribution methods for block-partitioned linear algebra
algorithms operating on dense matrices that are distributed in a block-cyclic fashion …

Generating local addresses and communication sets is an important issue in distributed-
memory implementations of data-parallel languages such as High Performance Fortran. We …

Generating local addresses and communication sets is an important issue in distributed-
memory implementations of data-parallel languages such as High Performance Fortran. We …

Data parallel languages, such as High Performance Fortran, can be successfully applied to
a wide range of numerical applications. However, many advanced scientific and …

Multilinear algebra kernel performance on modern massively-parallel systems is determined
mainly by data movement. However, deriving data movement-optimal distributed schedules …

Data-parallel languages, such as High Performance Fortran, are widely regarded as a
promising means for writing portable programs for distributed-memory machines. Novel …

Advanced features of modern data-parallel languages, such as High Performance Fortran,
require new techniques in compilers and run-time systems. We present efficient methods for …

This thesis presents techniques for automatically generating sparse codes from dense
matrix algorithms through a process called sparse compilation. We will start by recognizing …

We describe how various sparse matrix and distribution formats can be handled using the
{\em relational} approach to sparse matrix code compilation. This approach allows for the …