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I/O is the critical bottleneck for data-intensive scientific applications on HPC systems and leadership-class machines. Applications running on these systems may encounter bottlenecks because the I/O systems cannot handle the overwhelming intensity and volume of I/O requests. Applications and systems use I/O forwarding to aggregate and delegate I/O requests to storage systems. In this paper, we present...
In this paper, we describe our experiment developing an implementation of the Linpack benchmark for TianHe-1, a petascale CPU/GPU supercomputer system, the largest GPU-accelerated system ever attempted before. An adaptive optimization framework is presented to balance the workload distribution across the GPUs and CPUs with the negligible runtime overhead, resulting in the better performance than the...
With an ever increasing demand for computing power, number of nodes to be deployed in a cluster based supercomputer is increasing. Limited hardware resources such as Endpoints (equivalent to Queue Pairs) on a Host Channel Adapter (HCA) of a high speed interconnect limit the scalability of a parallel application based on MPI that sets up reliable connections between every process pair using endpoints,...
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