François Cantonnet

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Summary form only given. Parallel programming paradigms, over the past decade, have focused on how to harness the computational power of contemporary parallel machines. Ease of use and code development productivity, has been a secondary goal. Recently, however, there has been a growing interest in understanding the code development productivity issues and(More)
Co-array Fortran (CAF) and Unified Parallel C (UPC) are two emerging languages for single-program, multiple-data global address space programming. These languages boost programmer productivity by providing shared variables for inter-process communication instead of message passing. However, the performance of these emerging languages still has room for(More)
The distributed shared memory (DSM) model is designed to leverage the ease of programming of the shared memory paradigm, while enabling the high-performance by expressing locality as in the message-passing model. Experience, however, has shown that DSM programming languages, such as UPC, may be unable to deliver the expected high level of performance.(More)
UPC is an explicit parallel extension of ANSI C, which has been gaining rising attention from vendors and users. In this work, we consider the low-level monitoring and experimental performance evaluation of a new implementation of the UPC compiler on the SGI Origin family of NUMA architectures. These systems offer many opportunities for the high-performance(More)
UPC, or Unified Parallel C, has been gaining rising attention as a promising productive parallel programming language that can lead to shorter time-to-solution. UPC enables application developers to exploit both parallelism and data locality, while enjoying a simple and easy to use syntax. This paper examines some of the early compilers that have been(More)