Development Environment for Hybrid Applications on Heterogeneous Clusters

The evolution of cluster computers based on multicores, many cores and GPGPU accelerators is encouraging application developers to write hybrid parallel programs. Hybrid parallel programming is quite complex as it requires use of multiple programming paradigms such as MPI, OpenMP, CUDA/OpenCL to exploit the varied computational power available in a system. The paper brings out the challenges faced by application developers desiring to use heterogeneous HPC clusters. It describes a unified development environment which eases the complete development lifecycle of hybrid parallel programs on a HPC cluster. The software is capable of providing access to multiple clusters of different architectures, owing to the modularity of design and web based approach. The paper also serves as a good resource for researchers interested to gain an insight into hybrid parallel programming.