Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
Performance is arguably the most crucial attribute that reflects the behavior of a configurable
software system. However, given the increasing scale and complexity of modern software …
software system. However, given the increasing scale and complexity of modern software …
Performance embeddings: A similarity-based transfer tuning approach to performance optimization
Performance optimization is an increasingly challenging but often repetitive task. While each
platform has its quirks, the underlying code transformations rely on data movement and …
platform has its quirks, the underlying code transformations rely on data movement and …
Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization
Performance optimization is an increasingly challenging but often repetitive task. While each
platform has its quirks, the underlying code transformations rely on data movement and …
platform has its quirks, the underlying code transformations rely on data movement and …
Pushing the boundary: Specialising deep configuration performance learning
J Gong - 2024 - repository.lboro.ac.uk
Software systems often come with a multitude of configuration options that can be adjusted
to adapt their performance (eg, latency, execution time, and energy consumption) to various …
to adapt their performance (eg, latency, execution time, and energy consumption) to various …
[图书][B] Analysing and Reducing Costs of Deep Learning Compiler Auto-tuning
D Borowiec - 2023 - search.proquest.com
Deep Learning (DL) is significantly impacting many industries, including automotive, retail
and medicine, enabling autonomous driving, recommender systems and genomics …
and medicine, enabling autonomous driving, recommender systems and genomics …