Publication: Application Partitioning and Mapping Techniques for Heterogeneous Parallel Platforms
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2016-02
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Abstract
Parallelism has become one of the most extended paradigms used to improve performance. Legacy source code needs
to be re-written so that it can take advantage of multi-core and many-core computing devices, such as GPGPU,
FPGA, DSP or specific accelerators. However, it forces software developers to adapt applications and coding
mechanisms in order to exploit the available computing devices. It is a time consuming and error prone task that
usually results in expensive and sub-optimal parallel software.
In this work, we describe a parallel programming model, a set of annotating techniques and a static scheduling
algorithm for parallel applications. Their purpose is to simplify the task of transforming sequential legacy code
into parallel code capable of making full use of several different computing devices with the objetive of increasing
performance, lowering energy consumption and increase the productivity of the developer.
Description
Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
Keywords
Parallel computing, Heterogeneous computing, Programming models, Kernel partitioning
Bibliographic citation
Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 65-68