This paper presents novel compiler optimizations for reducing synchronization overhead in
compiler-parallelized scientific codes. A hybrid programming model is employed to combine …

Abstract High Performance Fortran (hpf) was developed to support data parallel
programming for simd and mimd machines with distributed memory. The programmer is …

Parallel and heterogeneous computing are growing in audience thanks to the increased
performance brought by ubiquitous manycores and GPUs. However, available programming …

High Performance Fortran (HPF) was developed to support data parallel programming for
single‐instruction multiple‐data (SIMD) and multiple‐instruction multiple‐data (MIMD) …

Many computationally-intensive programs, such as those for differential equations, spatial
interpolation, and dynamic programming, spend a large portion of their execution time in …

This paper presents the design and the implementation of a compiler and runtime
infrastructure for automatic program distribution. We are building a research infrastructure …

The important step in Program Parallelization, is identifying the pieces of the given program,
that can be run concurrently, on separate processing elements. The parallel pieces once …

La première utilisation de polyèdres pour résoudre un problème de compilation, la
parallélisation automatique de boucles en présence d'appels de procédure, a été décrite et …

One way to relieve resources when executing a program on constrained devices is to
migrate parts of it to other machines in a distributed system. Ideally, a system can …

To answer new challenges, systems on chip need to gain flexibility and fpga s need to gain
structure. We propose a general framework for SoC architectures and software tools in …