Paper
Languages and performance engineering: Method, instrumentation, and pedagogy
Abstract
Programs encounter increasingly complex and fragile mappings to computing platforms, resulting in performance characteristics that are often mysterious to students, practitioners, and even researchers. We discuss some steps toward an experimental methodology that demands and provides a deep understanding of complete systems, the necessary instrumentation and tools to support such a methodology, and a curriculum that teaches the methodology and tools as a fundamental part of the discipline. © 2008 ACM.
Related
Conference paper
Neuro-symbolic reinforcement learning for polymer discovery
Conference paper
Growing a software language for hardware design
Conference paper