Machine Learning and Artificial Intelligence techniques are becoming increasingly useful in
various domains. Here we give a review of their application in various computer systems …

In this article, we present an Online Learning Artificial Neural Network (ANN) model that is
able to predict the performance of tasks in lower frequency levels and safely optimize real …

Chip multiprocessor (CMP) systems have become inevitable to meet high computing
demands. In such systems sharing of resources is imperative for better resource utilisation …

Stencil computations are the basis to solve many problems related to Partial Differential
Equations (PDEs). Obtaining the best performance with such numerical kernels is a major …

“The On Chip NUMA Architectures (OCNA) introduce a new challenge namely memory-
latency to the scheduling methods. The language run-times and libraries try to explore the …

Operating System Management of Shared Caches on Multicore Processors Page 1 Operating
System Management of Shared Caches on Multicore Processors by David Tam A thesis …

Artificial intelligence and machine learning techniques are being used more and more in a
variety of fields. We go over their use in various computer systems in this section. The …

In this study we investigate the transferability of trained regression models to estimate solo
run L2 cache stress of programs running on multi-core processors. We used machine …

Scheduling for multicore computer systems is a challenge since subsets of cores may share
resources, such as a cache. Performance for workloads may therefore vary depending on …

Fast and accurate seismic processing workflow is a critical component for oil and gas
exploration. In order to understand complex geological structures, the numerical kernels …