China
Africa
Explore chapters and articles related to this topic
Data Locality and Dependency for MapReduce
Published in Yulei Wu, Fei Hu, Geyong Min, Albert Y. Zomaya, Big Data and Computational Intelligence in Networking, 2017
Xiaoqiang Ma, Xiaoyi Fan, Jiangchuan Liu
We next present the real-world experiment results in a typical virtualized environment. Our testbed consists of four Dell servers (OPTIPLEX 7010), each equipped with an Intel Core i7-3770 3.4 GHz quad core CPU, 16 GB 1333 MHz DDR3 RAM, a 1 TB 7200 RPM hard drive, and a 1 Gbps network interface card (NIC). Hyper-threading is enabled for the CPUs so that each CPU core can support two threads. All physical machines are interconnected by a NETGEAR 8-port gigabit switch. This fully controllable test-bed system allows the machines to be interconnected with the maximum speed, and enables us to closely examine the impact of data dependency and data locality.
Introduction
Published in Heqing Zhu, Data Plane Development Kit (DPDK), 2020
HelloWorld is a simple sample for both codes and functions. It creates a basic running environment for multicore (multi-thread) packet processing. Each thread will print a message “hello from core #”. Core # is managed by the operating system. Unless otherwise indicated, the DPDK thread in this book is associated with a hardware thread. The hardware thread can be a logical core (lcore) or a physical core. One physical core can become two logical cores if hyper-threading is turned on. Hyper-threading is an Intel® processor feature that can be turned on or off via BIOS/UEFI.
Multithreading in LabVIEW
Published in Rick Bitter, Taqi Mohiuddin, Matt Nawrocki, LabVIEW™ Advanced Programming Techniques, 2017
Rick Bitter, Taqi Mohiuddin, Matt Nawrocki
Intel has added a new technology to their processors; marketing literature refers to it as Hyper-Threading. Hyper-Threading’s technical name is simultaneous multithreading. Hyper-Threading adds a second set of CPU resources to a processor to make it appear in most respects to have two processors.
New gas radiation model based on the principle of weighted sum of gray gases. Application to CO2–H2O mixtures at high temperature
Published in Numerical Heat Transfer, Part B: Fundamentals, 2023
Fatmir Asllanaj, Francis Henrique Ramos França, Jean Rodolphe Roche, Roberta Juliana Collet da Fonseca, Olivier Botella
All test cases (1-D and 3-D) presented below were selected to evaluate the performance and accuracy of the proposed gas radiation model for the solution of RHT in inhomogeneous and nonisothermal participating gases at athmospheric pressure (the total pressure (ptot = 1.0 atm for all the cases). The partial pressure of the gas is: with a ratio equal to 2 for all the cases. The numerical simulations were performed with a 48 cores computer (2 CPUs Intel [email protected],12 cores/CPU) using Hyper-Threading and Intel C compiler.
ParNMPC – a parallel optimisation toolkit for real-time nonlinear model predictive control
Published in International Journal of Control, 2022
Haoyang Deng, Toshiyuki Ohtsuka
All experiments were performed on a hexa-core 2.9-GHz (Turbo Boost and Hyper-Threading were disabled) Intel Core i9-8950HK laptop. The helicopter experiment was run in Simulink on Windows 10, and the others were run on Ubuntu 18.04. All code was automatically generated by using ParNMPC. To reduce the effect of the computing environment, the CT at each time step was measured by taking the minimum one of ten runs of the closed-loop simulation.