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Abstract: Fifty years ago, computer benchmarks were a common practice. In a 1973 article in Computing Surveys, Eric Timmreck, a recent University of Wisconsin-Madison CS Ph.D. graduate working at Shell Research in Houston, Texas, identified three benchmark types to validate a proposed system: Artificial, Standard, and Live benchmarks [1]. He highlighted the latter type in saying, "There is substantial agreement that the only performance tool which is accurate enough for selection purposes is a well-composed live benchmark." Timmreck left it to readers to pick a methodology, including any of six other approaches he cited "to prove that a system can in fact carry the user's load."

Abstract: Fall is a busy season for most people and even more so for the HPC community with the flurry of activity leading up to the SC conference in November. As you'll see in this newsletter, there are plenty of exciting opportunities in Denver during SC including acknowledging our award winners, learning more about professional societies at BoFs, and volunteering at the SIGHPC Booth. We look forward to interacting with the next generation of HPC leaders through our student travel grants, early career travel grants, and the HPC Immersion program.

Abstract: The tagline for SC23 is "I am HPC," which according to SC23 General Chair Dorian Arnold (Emory U.) "reflects our vision to celebrate and promote all things HPC, the field, and the people!" A number of program elements---including the keynote, plenary, and invited talks---echo this theme.

Abstract: The reproducibility of computational results has been central topic of discussion as different scientific communities have different meanings for the same term. For a scientist, reproducibility ultimately means enabling confirmable research. We can achieve confirmable research by integrating artifact descriptors (AD) and artifact evaluators (AE) in our papers, documenting every aspect of our artifact's workflows. Agencies are investing in confirmable research; an example is a recent "Dear Colleagues Letter" that reinforces the need for reproducibility in open science.