Deep Configuration Performance Learning: A Systematic Survey and Taxonomy

J Gong, T Chen - arXiv preprint arXiv:2403.03322, 2024 - arxiv.org
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 …

Parallel protein multiple sequence alignment approaches: a systematic literature review

SH Almanza-Ruiz, A Chavoya… - The Journal of …, 2023 - Springer
Multiple sequence alignment approaches refer to algorithmic solutions for the alignment of
biological sequences. Since multiple sequence alignment has exponential time complexity …

A Deep Reinforcement Learning Approach for Competitive Task Assignment in Enterprise Blockchain

G Volpe, AM Mangini, MP Fanti - IEEE Access, 2023 - ieeexplore.ieee.org
With the advent of Industry 4.0, the demand of high computing power for tasks such as data
mining, 3D rendering, file conversion and cryptography is continuously growing. To this …

Early performance estimation of embedded software on RISC-V processor using linear regression

W Zhang, M Goli, R Drechsler - 2022 25th International …, 2022 - ieeexplore.ieee.org
RISC-V-based embedded systems are becoming more and more popular in recent years.
Performance estimation of embedded software at an early stage of the design process plays …

Performance prediction of parallel applications using artificial neuronal network and graph representation

S Chokri, S Baroud, S Belhaous… - Concurrency and …, 2022 - Wiley Online Library
Modeling and predicting the performance of HPC applications is exceedingly important for
several purposes. These incorporate scheduling and managing tasks, understanding …

A framework for evaluating the impact of communication on performance in large-scale distributed urban simulations

KN Amponsah - 2021 - eprints.nottingham.ac.uk
A primary motivation for employing distributed simulation is to enable the execution of large-
scale simulation workloads that cannot be handled by the resources of a single stand-alone …

The comparing analysis of two parallelization schemes for computations with round memory

R Kolpakov - Discrete Mathematics, Algorithms and Applications, 2024 - World Scientific
In this paper, we consider a tree-like recursion procedure of solving of binary decomposable
problems. More specifically, we study some questions of parallelization of this procedure …

POAS: A high-performance scheduling framework for exploiting Accelerator Level Parallelism

PA Martínez, G Bernabé, JM García - arXiv preprint arXiv:2209.10245, 2022 - arxiv.org
Heterogeneous computing is becoming mainstream in all scopes. This new era in computer
architecture brings a new paradigm called Accelerator Level Parallelism (ALP). In ALP …

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 …

Performance interference of co-allocated applications: a systematic literature review

DS Urzua-Barrientos, HA Duran-Limon, M Mora - 2023 - researchsquare.com
Several efforts have been made to study the nature of performance interference in co-
allocated applications running in different environments. Such performance interference …