The Green500 is a biannual ranking of supercomputers, from the TOP500 list of supercomputers, in terms of energy efficiency. The list measures performance per watt using the TOP500 measure of high performance LINPACK benchmarks at double-precision floating-point format. ==History== The Green500 List was created by Kirk W. Cameron and Wu-chun Feng, then both associate professors in Computer Science at Virginia Tech, in 2006. The power measurement techniques that form the basis of the run rules were based on Cameron's early work in supercomputer energy efficiency initially funded by the National
The Green500 is a biannual ranking of supercomputers, from the TOP500 list of supercomputers, in terms of energy efficiency. The list measures performance per watt using the TOP500 measure of high performance LINPACK benchmarks at double-precision floating-point format. ==History== The Green500 List was created by Kirk W. Cameron and Wu-chun Feng, then both associate professors in Computer Science at Virginia Tech, in 2006. The power measurement techniques that form the basis of the run rules were based on Cameron's early work in supercomputer energy efficiency initially funded by the National Science Foundation (Awards: #0347683, #0614705). The first Green500 List was presented at the 2007 ACM/IEEE conference on Supercomputing and described in the December issue of IEEE Computer 40(12): 50-55 (2007).
The list was initially met with some controversy since several key stakeholders (e.g., SGI, DOE Laboratories) failed to submit measurements by the report deadlines and were deprecated in the original list using power estimates based on U/L Ratings. A revised list was posted in February of 2008 to enable those failing to submit to provide updates to the list. Successive, updated Green500 Lists followed independently twice per year, in June at the International Supercomputing Conference (ISC) in Europe and in November at the US-based ACM/IEEE Supercomputing conference. In 2014, the Green500 List merged with the Top500 List and now requires only a single submission to participate in both lists.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).