One of the most challenging aspects of managing a very large data warehouse is identifying
how queries will behave before they start executing. Yet knowing their performance …

This paper discusses a Digital Twin demonstrator for privacy enhancement in the automotive
industry. Here, the Digital Twin demonstrator is presented as a method for the design and …

The success of machine learning has prospered Machine-Learning-as-a-Service (MLaaS)-
deploying trained machine learning (ML) models in cloud to provide low latency inference …

The process of scientific data analysis in high-performance computing environments has
been evolving along with the advancement of computing capabilities. With the onset of …

Consistently growing architectural complexity and machine scales make the creation of
accurate performance models for large‐scale applications increasingly challenging …

Efficiently exploring exponential-size architectural design spaces with many interacting
parameters remains an open problem: the sheer number of experiments required renders …

Contention for shared resources between co-running programs on a multi-core processor
causes degradation of performance. Previous research work made efforts to characterize …

Multicore microprocessors have been largely motivated by the diminishing returns in
performance and the increased power consumption of single-threaded ILP microprocessors …

We explore how to manage database workloads that contain a mixture of OLTP-like queries
that run for milliseconds as well as business intelligence queries and maintenance tasks that …

Program runtime characteristics exhibit significant variation. As microprocessor architectures
become more complex, their efficiency depends on the capability of adapting with workload …