Explore the challenges and potential solutions in compiler construction for high-performance computing in this thought-provoking talk by Albert Cohen. Delve into the question of whether it's possible to create a compiler that reduces performance engineering efforts while still delivering competitive results. Examine the limitations of current compiler frameworks, the impact of ML-enhanced compilers, and the role of domain-specific code generators in numerical libraries. Consider the ongoing struggle between programmability and performance, and discuss the scalability of ML-based heuristics for large-scale code compilation. Gain insights into recent successes and partial achievements in academia and industry, and contemplate future research directions to address these challenges in compiler development and software engineering.
Can I Cook a 5 o'clock Compiler Cake and Eat It at 2? - Optimizing Compilers for High-Performance Computing
Scalable Parallel Computing Lab, SPCL @ ETH Zurich via YouTube
Overview
Syllabus
[SPCL_Bcast] Can I Cook a 5 o'clock Compiler Cake and Eat It at 2?
Taught by
Scalable Parallel Computing Lab, SPCL @ ETH Zurich