Booting a Linux Kernel Under Bhyve on ARMv7

2021 ◽  
pp. 93-101
Author(s):  
Darius Mihai ◽  
Maria-Elena Mihailescu ◽  
Mihai Carabas ◽  
Nicolae Țăpuș
Keyword(s):  
Linux Kernel

Machine learning for load balancing in the Linux kernel

2020 ◽  
Author(s):  
Jingde Chen ◽  
Subho S. Banerjee ◽  
Zbigniew T. Kalbarczyk ◽  
Ravishankar K. Iyer
Keyword(s):  
Machine Learning ◽  
Load Balancing ◽  
Linux Kernel

scholarly journals A study of persistent memory bugs in the Linux kernel

2021 ◽  
Author(s):  
Duo Zhang ◽  
Om Rameshwar Gatla ◽  
Wei Xu ◽  
Mai Zheng
Keyword(s):  
Linux Kernel ◽  
Persistent Memory

RCU Usage In the Linux Kernel

2020 ◽  
Vol 54 (1) ◽  
pp. 47-63
Author(s):  
Paul E. McKenney ◽  
Joel Fernandes ◽  
Silas Boyd-Wickizer ◽  
Jonathan Walpole
Keyword(s):  
Linux Kernel

scholarly journals Thread-Aware Mechanism to Enhance Inter-Node Load Balancing for Multithreaded Applications on NUMA Systems

2021 ◽  
Vol 11 (14) ◽  
pp. 6486
Author(s):  
Mei-Ling Chiang ◽  
Wei-Lun Su
Keyword(s):  
Load Balancing ◽  
Critical Path ◽  
Selection Procedure ◽  
Remote Memory ◽  
Data Mapping ◽  
Linux Kernel ◽  
Access Memory ◽  
Selection Policy ◽  
Benchmark Suite ◽  
Thread Mapping

NUMA multi-core systems divide system resources into several nodes. When an imbalance in the load between cores occurs, the kernel scheduler’s load balancing mechanism then migrates threads between cores or across NUMA nodes. Remote memory access is required for a thread to access memory on the previous node, which degrades performance. Threads to be migrated must be selected effectively and efficiently since the related operations run in the critical path of the kernel scheduler. This study focuses on improving inter-node load balancing for multithreaded applications. We propose a thread-aware selection policy that considers the distribution of threads on nodes for each thread group while migrating one thread for inter-node load balancing. The thread is selected for which its thread group has the least exclusive thread distribution, and thread members are distributed more evenly on nodes. This has less influence on data mapping and thread mapping for the thread group. We further devise several enhancements to eliminate superfluous evaluations for multithreaded processes, so the selection procedure is more efficient. The experimental results for the commonly used PARSEC 3.0 benchmark suite show that the modified Linux kernel with the proposed selection policy increases performance by 10.7% compared with the unmodified Linux kernel.

Mini-ATX Computer System in Vehicle

2015 ◽  
Vol 1115 ◽  
pp. 484-487 ◽  
Author(s):  
Muhammad Sami ◽  
Akram M. Zeki
Keyword(s):  
Operating System ◽  
Computer System ◽  
Linux Kernel

The aim of this study is to create and assemble the system with customizing/building Linux kernel and environments to be compatible and efficient on mini-ITX computer. The objective of the study is to create/customizing lightweight operating system using GNU/Linux to be used on computer to be used on vehicle. The system would also optimize the size and functionalities most probably would be implemented on car computer system.Keywords: mini-ATX, CarPC, Linux, Ubuntu, Qt, QML

AMCheX: Accurate Analysis of Missing-Check Bugs for Linux Kernel

2021 ◽  
Vol 36 (6) ◽  
pp. 1325-1341
Author(s):  
Ying-Jie Wang ◽  
Liang-Ze Yin ◽  
Wei Dong
Keyword(s):  
Linux Kernel ◽  
Accurate Analysis

The Linux Kernel

2009 ◽  
pp. 415-434
Author(s):  
Ryan Baclit ◽  
Chivas Sicam ◽  
Peter Membrey ◽  
John Newbigin
Keyword(s):  
Linux Kernel
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