Heterogeneous multicore parallel programming for graphics processing units
Scientific Programming - Software Development for Multi-core Computing Systems
Implementing the PGI Accelerator model
Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units
A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads
IISWC '10 Proceedings of the IEEE International Symposium on Workload Characterization (IISWC'10)
Guided performance analysis combining profile and trace tools
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
Optimization strategies in different CUDA architectures using llCoMP
Microprocessors & Microsystems
Input-aware auto-tuning for directive-based GPU programming
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units
A preliminary evaluation of OpenACC implementations
The Journal of Supercomputing
On Expressing Strategies for Directive-Driven Multicore Programing Models
Proceedings of Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms
Recent progress and challenges in exploiting graphics processors in computational fluid dynamics
The Journal of Supercomputing
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The irruption in the HPC scene of hardware accelerators, like GPUs, has made available unprecedented performance to developers. However, even expert developers may not be ready to exploit the new complex processor hierarchies. We need to find a way to leverage the programming effort in these devices at programming language level, otherwise, developers will spend most of their time focusing on device-specific code instead of implementing algorithmic enhancements. The recent advent of the OpenACC standard for heterogeneous computing represents an effort in this direction. This initiative, combined with future releases of the OpenMP standard, will converge into a fully heterogeneous framework that will cope the programming requirements of future computer architectures. In this work we present accULL , a novel implementation of the OpenACC standard, based on the combination of a source to source compiler and a runtime library. To our knowledge, our approach is the first providing support for both OpenCL and CUDA platforms under this new standard.