More Like this

1. Performance-Based Compensation Systems and Principal Job Performance

   https://doi.org/10.3102/00028312241303760  

   Mitani, Hajime (January 2025, American Educational Research Journal)

   The inequitable distribution of principal effectiveness raises concern among policymakers. Principal sorting likely contributes to wider achievement and opportunity gaps between low- and high-need schools. As a possible policy tool, policymakers proposed performance-based compensation systems (PBCS). Tennessee was one of the states that supported the implementation of PBCS. This study examined the relationship between PBCS and principal job performance in the state, using longitudinal administrative data, principal evaluation data, and unique PBCS data from 2012 to 2019. The study did not find consistently significant, positive relationships between PBCS and principal job performance. However, the relationships were generally more pronounced among high-need schools. The study concludes with detailed discussions about the results, the assumptions behind PBCS, limitations, and implications. 

   more » « less
2. RAJA Performance Suite: Performance Portability Analysis with Caliper and Thicket

   https://doi.org/10.1109/SCW63240.2024.00162  

   Pearce, Olga; Burmark, Jason; Hornung, Rich; Bogale, Befikir; Lumsden, Ian; McKinsey, Michael; Yokelson, Dewi; Boehme, David; Brink, Stephanie; Taufer, Michela; et al (November 2024, IEEE)
3. Design Verification and Performance Analysis

   https://doi.org/10.1109/dac.1978.1585183  

   Wold, MA (January 1978, IEEE)
4. Linux and High-Performance Computing

   https://doi.org/10.36227/techrxiv.175825944.48549074/v1  

   Bader, David A (September 2025, Techrxiv)

   In the 1980s, high-performance computing (HPC) became another tool for research in the open (non-defense) science and engineering research communities. However, HPC came with a high price tag; the first Cray-2 machines, released in 1985, cost between $12 million and $17 million, according to the Computer History Museum, and were largely available only at government research labs or through national supercomputing centers. In the 1990s, with demand for HPC increasing due to vast datasets, more complex modeling, and the growing computational needs of scientific applications, researchers began experimenting with building HPC machines from clusters of servers running the Linux operating system. By the late 1990s, two approaches to Linux-based parallel computing had emerged: the personal computer cluster methodology that became known as Beowulf and the Roadrunner architecture aimed at a more cost-effective supercomputer. While Beowulf attracted attention because of its low cost and thereby greater accessibility, Roadrunner took a different approach. While still affordable compared to vector processors and other commercially available supercomputers, Roadrunner integrated its commodity components with specialized networking technology. Furthermore, these systems initially served different purposes. While Beowulf focused on providing affordable parallel workstations for individual researchers at NASA, Roadrunner set out to provide a multiuser system that could compete with the commercial supercomputers that dominated the market at the time. This paper analyzes the technical decisions, performance implications, and long-term influence of both approaches. Through this analysis, we can start to judge the impact of both Roadrunner and Beowulf on the development of Linux-based supercomputers. 

   more » « less
5. Performing up to par? Performance pressure increases undergraduates’ cognitive performance and effort.

   https://doi.org/10.1037/mac0000023  

   Mesghina, Almaz; Au Yeung, Natalie; Richland, Lindsey Engle (April 2022, Journal of Applied Research in Memory and Cognition)