Abstract
Computer performance improvement embraces many issues, but is severely hampered by existing approaches that examine one or a few topics at a time. Each problem solved leads to another saturation point and serious problem. In the most frustrating cases, solving some problems exacerbates others and achieves no net performance gain. This paper discusses how to measure a large computational load globally, using as much architectural detail as needed. Besides the traditional goals of sequential and parallel system performance, these methods are useful for energy optimization.
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Notes
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In fact, every instruction must use the processor to dispatch the instruction. In some preliminary experiments, we have found that even for LOAD instructions, for some access patterns, the instruction can show processor bound behavior.
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© 2012 Springer-Verlag London Limited
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Jalby, W., Wong, D.C., Kuck, D.J., Acquaviva, JT., Beyler, JC. (2012). Measuring Computer Performance. In: Berry, M., et al. High-Performance Scientific Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2437-5_3
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DOI: https://doi.org/10.1007/978-1-4471-2437-5_3
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2436-8
Online ISBN: 978-1-4471-2437-5
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