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Malleable jobs are those which can dynamically shrink or expand the number of processors on which they are executing at runtime in response to an external command. Malleable jobs can significantly improve system utilization and reduce average response time, compared to traditional jobs. To realize these benefits, three components are critical — an adaptive job scheduler, an adaptive resource manager,...
Fine-grained communication in supercomputing applications often limits performance through high communication overhead and poor utilization of network bandwidth. This paper presents Topological Routing and Aggregation Module (TRAM), a library that optimizes fine-grained communication performance by routing and dynamically combining short messages. TRAM collects units of fine-grained communication...
Cloud computing is increasingly being explored as a cost effective alternative and addition to supercomputers for some High Performance Computing (HPC) applications. However, dynamic environment and interference by other virtual machines are some of the factors which prevent efficient execution of HPC applications in cloud. Through this research, we leverage a message driven adaptive runtime system...
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