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Design for low power and power management in IBM Blue Gene/Q., , , , , , , , , and 1 other author(s). IBM J. Res. Dev., 57 (1/2): 3 (2013)Best Practices for HPC Workloads on Public Cloud Platforms: A Guide for Computational Scientists to Use Public Cloud for HPC Workloads., , and . ICPE, page 29-35. ACM, (2022)Looking under the hood of the IBM blue gene/Q network., , , , , , , , , and 4 other author(s). SC, page 69. IEEE/ACM, (2012)Blue Gene/L performance tools., , , , , , , , , and 2 other author(s). IBM J. Res. Dev., 49 (2-3): 407-424 (2005)Unlocking the Performance of the BlueGene/L Supercomputer., , , , , , , and . SC, page 57. IEEE Computer Society, (2004)WRF nature run., , , , , , , , and . SC, page 59. ACM Press, (2007)The infrastructure powering IBM's Gen AI model development., , , , , , , , , and 89 other author(s). CoRR, (2024)Scaling physics and material science applications on a massively parallel Blue Gene/L system., , , , , , , , , and 11 other author(s). ICS, page 246-252. ACM, (2005)Next-Generation Performance Counters: Towards Monitoring Over Thousand Concurrent Events., , , , , and . ISPASS, page 139-146. IEEE Computer Society, (2008)Early Experience with Scientific Applications on the Blue Gene/L Supercomputer., , , , , , , , , and 16 other author(s). Euro-Par, volume 3648 of Lecture Notes in Computer Science, page 560-570. Springer, (2005)