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Performance and Scalability Evaluation of 'Big Memory' on Blue Gene Linux., , , , and . IJHPCA, 25 (2): 148-160 (2011)Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes., , , , , and . ICCD, page 537-544. IEEE Computer Society, (2018)Benchmarking the effects of operating system interference on extreme-scale parallel machines., , , , and . Cluster Computing, 11 (1): 3-16 (2008)Evaluating Power-Monitoring Capabilities on IBM Blue Gene/P and Blue Gene/Q., , , , , , and . CLUSTER, page 36-44. IEEE Computer Society, (2012)The Influence of Operating Systems on the Performance of Collective Operations at Extreme Scale., , , and . CLUSTER, IEEE Computer Society, (2006)Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations., , and . Co-HPC@SC, page 17-24. IEEE, (2014)Analyzing MPI-3.0 Process-Level Shared Memory: A Case Study with Stencil Computations., , , , , and . CCGRID, page 1099-1106. IEEE Computer Society, (2015)Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system., , , and . CoRR, (2019)Operating system issues for petascale systems., , , and . Operating Systems Review, 40 (2): 29-33 (2006)Argo NodeOS: Toward Unified Resource Management for Exascale., , , , , , , , and . IPDPS, page 153-162. IEEE Computer Society, (2017)