scholarly journals Design an Improved System to Control the Computer Temperature

2021 ◽  
Vol 15 ◽  
pp. 234-239
Author(s):  
Hani. K. Al-Mohair ◽  
Hussien A. Alhadadd
Keyword(s):  
High Performance ◽  
Third Party ◽  
Computer Users ◽  
Detection Methods ◽  
Safety Protection ◽  
Software And Hardware

Temperature is one of the most significant problems that computer users face, especially the users who deal with works that required high-performance processing such as gamers and designers. The traditional PC heat detection methods depend on the information of the CPU and the user should go through a long procedure to check the heat or by installing some third-party programs and in the end, he has to take the action manually. Although some researchers have been talked about the temperature controllers, no system used both software and hardware to control the PC temperature, also there is no consensus on the quick and efficient methods to protect the PC from the overheating problem. The proposed system improved the current solutions by providing better performance in terms of quick responses for safety protection. This paper proposes a novel system for controlling the PC's temperature to increase the safety of computer users.

GPU-accelerated molecular dynamics: State-of-art software performance and porting from Nvidia CUDA to AMD HIP

2021 ◽  
pp. 109434202110082
Author(s):  
Nikolay Kondratyuk ◽  
Vsevolod Nikolskiy ◽  
Daniil Pavlov ◽  
Vladimir Stegailov
Keyword(s):  
Molecular Dynamics ◽  
High Performance ◽  
Software Performance ◽  
Computing Systems ◽  
Accelerated Molecular Dynamics ◽  
Nvidia Cuda ◽  
Software And Hardware ◽  
Management Capabilities ◽  
Utilization Time ◽  
Performance Computing

Classical molecular dynamics (MD) calculations represent a significant part of the utilization time of high-performance computing systems. As usual, the efficiency of such calculations is based on an interplay of software and hardware that are nowadays moving to hybrid GPU-based technologies. Several well-developed open-source MD codes focused on GPUs differ both in their data management capabilities and in performance. In this work, we analyze the performance of LAMMPS, GROMACS and OpenMM MD packages with different GPU backends on Nvidia Volta and AMD Vega20 GPUs. We consider the efficiency of solving two identical MD models (generic for material science and biomolecular studies) using different software and hardware combinations. We describe our experience in porting the CUDA backend of LAMMPS to ROCm HIP that shows considerable benefits for AMD GPUs comparatively to the OpenCL backend.

Privacy Concerns for Ubiquitous Data Aggregation and Storage

2014 ◽  
Author(s):  
Jarrod M. Rifkind ◽  
Seymour E. Goodman
Keyword(s):  
World Bank ◽  
High Performance ◽  
Business Models ◽  
The United States ◽  
Third Party ◽  
The Internet ◽  
Public And Private ◽  
Personal Lives ◽  
The Public ◽  
The World

Information technology has drastically changed the ways in which individuals are accounted for and monitored in societies. Over the past two decades, the United States and other countries worldwide have seen a tremendous increase in the number of individuals with access to the Internet. Data collected by the World Bank shows that 17.5 of every 100 people in the world had access to the Internet in 2006, and this number increased to 23.2 in 2008, 29.5 in 2010, and 32.8 in 2011 (World Bank 2012). According to the latest Cisco traffic report, Internet traffic exceeded 30 exabytes (1018 bytes) per month in 2011 and is expected to reach a zettabyte (1021 bytes) per month by 2015 (Cisco Systems 2011). Activities on the Web are no longer limited to seemingly noncontroversial practices like e-mail. The sheer growth of the Internet as a medium for communication and information sharing as well as the development of large, high-performance data centers have made it easier and less expensive for companies and governments to aggregate large amounts of data generated by individuals. Today, many people’s personal lives can be pieced together relatively easily according to their search histories and the information that they provide on social networking websites such as Facebook and Twitter. Therefore, technological breakthroughs associated with computing raise important questions regarding information security and the role of privacy in society. As individuals begin using the Internet for e-commerce, e-government, and a variety of other services, data about their activities has been collected and stored by entities in both the public and private sectors. For the private sector, consumer activities on the Internet provide lucrative information about user spending habits that can then be used to generate targeted advertisements. Companies have developed business models that rely on the sale of such information to third-party entities, whether they are other companies or the federal government. As for the public sector, data collection occurs through any exchange a government may have with its citizens.

scholarly journals ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2671 ◽  
Author(s):  
Chunsheng Liu ◽  
Yu Guo ◽  
Shuang Li ◽  
Faliang Chang
Keyword(s):  
High Resolution ◽  
High Precision ◽  
Extraction Method ◽  
High Performance ◽  
Detection Methods ◽  
Average Precision ◽  
Deep Network ◽  
High Resolution Images ◽  
Bounding Boxes ◽  
Detection And Localization

You Only Look Once (YOLO) deep network can detect objects quickly with high precision and has been successfully applied in many detection problems. The main shortcoming of YOLO network is that YOLO network usually cannot achieve high precision when dealing with small-size object detection in high resolution images. To overcome this problem, we propose an effective region proposal extraction method for YOLO network to constitute an entire detection structure named ACF-PR-YOLO, and take the cyclist detection problem to show our methods. Instead of directly using the generated region proposals for classification or regression like most region proposal methods do, we generate large-size potential regions containing objects for the following deep network. The proposed ACF-PR-YOLO structure includes three main parts. Firstly, a region proposal extraction method based on aggregated channel feature (ACF) is proposed, called ACF based region proposal (ACF-PR) method. In ACF-PR, ACF is firstly utilized to fast extract candidates and then a bounding boxes merging and extending method is designed to merge the bounding boxes into correct region proposals for the following YOLO net. Secondly, we design suitable YOLO net for fine detection in the region proposals generated by ACF-PR. Lastly, we design a post-processing step, in which the results of YOLO net are mapped into the original image outputting the detection and localization results. Experiments performed on the Tsinghua-Daimler Cyclist Benchmark with high resolution images and complex scenes show that the proposed method outperforms the other tested representative detection methods in average precision, and that it outperforms YOLOv3 by 13.69 % average precision and outperforms SSD by 25.27 % average precision.

HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

2020 ◽  
Author(s):  
Johann F Jadebeck ◽  
Axel Theorell ◽  
Samuel Leweke ◽  
Katharina Nöh
Keyword(s):  
High Performance ◽  
State Of The Art ◽  
Source Code ◽  
Third Party ◽  
Supplementary Information ◽  
Scalable Algorithms ◽  
Uniform Sampling ◽  
Non Uniform Sampling ◽  
Constrained Models ◽  
Performance Gains

Abstract Summary The C++ library Highly Optimized Polytope Sampling (HOPS) provides implementations of efficient and scalable algorithms for sampling convex-constrained models that are equipped with arbitrary target functions. For uniform sampling, substantial performance gains were achieved compared to the state-of-the-art. The ease of integration and utility of non-uniform sampling is showcased in a Bayesian inference setting, demonstrating how HOPS interoperates with third-party software. Availability and implementation Source code is available at https://github.com/modsim/hops/, tested on Linux and MS Windows, includes unit tests, detailed documentation, example applications and a Dockerfile. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Design of Mobile 4G Gateway Based on Zigbee Wireless Sensor Network

2018 ◽  
Vol 14 (11) ◽  
pp. 117
Author(s):  
Bo Qiu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Performance ◽  
Low Cost ◽  
Wireless Sensor ◽  
Long Distance ◽  
Hardware Platform ◽  
Gateway System ◽  
Zigbee Technology ◽  
Software And Hardware

To realize the design of mobile 4G gateway of ZigBee wireless sensor network (WSN), a scheme of wireless remote monitoring based on ZigBee and general packet radio service (GPRS) WSN gateway system is proposed. The scheme combines the advantages of short distance, low power consumption, low cost and long distance popular communication of ZigBee technology, and uses the system architecture of ZigBee + GPRS + Android. On this hardware platform, the transplantation of Android system and the development of related hardware device drivers are designed and implemented, so as to build the software platform of the system. Based on the software and hardware platform of the system, the related applications are designed and realized according to the function requirements of the system, and the software and hardware platform and the application program are tested and analyzed. The test results show that the system runs steadily and has good performance. To sum up, the hardware platform has the advantages of low energy consumption, high performance and scalability.

The Impact of Human Resource Management on Corporate Social Performance Strengths and Concerns

2016 ◽  
Vol 56 (3) ◽  
pp. 391-418 ◽  
Author(s):  
Sandra Rothenberg ◽  
Clyde Eiríkur Hull ◽  
Zhi Tang
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
High Performance ◽  
Corporate Social Performance ◽  
Social Performance ◽  
Secondary Data ◽  
Third Party ◽  
Corporate Social ◽  
The Impact

Although high-performance human resource practices do not directly affect corporate social performance (CSP) strengths, they do positively affect CSP strengths in companies that are highly innovative or have high levels of slack. High-performance human resource management (HRM) practices also directly and negatively affect CSP concerns. Drawing on the resource-based view and using secondary data from an objective, third-party database, the authors develop and test hypotheses about how high-performance HRM affects a company’s CSP strengths and concerns. Findings suggest that HRM and innovation are important capabilities because they create and enhance other capabilities.

scholarly journals Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

2011 ◽  
Vol 28 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Christopher J. Fluke ◽  
David G. Barnes ◽  
Benjamin R. Barsdell ◽  
Amr H. Hassan
Keyword(s):  
Graphics Processing Units ◽  
High Performance ◽  
Best Practice ◽  
New Technology ◽  
General Purpose ◽  
Third Party ◽  
Early Adopters ◽  
Early Adoption ◽  
Open Standard ◽  
Effective Use

AbstractGeneral-purpose computing on graphics processing units (GPGPU) is dramatically changing the landscape of high performance computing in astronomy. In this paper, we identify and investigate several key decision areas, with a goal of simplifying the early adoption of GPGPU in astronomy. We consider the merits of OpenCL as an open standard in order to reduce risks associated with coding in a native, vendor-specific programming environment, and present a GPU programming philosophy based on using brute force solutions. We assert that effective use of new GPU-based supercomputing facilities will require a change in approach from astronomers. This will likely include improved programming training, an increased need for software development best practice through the use of profiling and related optimisation tools, and a greater reliance on third-party code libraries. As with any new technology, those willing to take the risks and make the investment of time and effort to become early adopters of GPGPU in astronomy, stand to reap great benefits.

Multifunction GPS/GPRS Automobile Security System

2012 ◽  
Vol 433-440 ◽  
pp. 629-634
Author(s):  
Xiu Feng Wang ◽  
Gang Cui
Keyword(s):  
System Reliability ◽  
High Performance ◽  
Low Cost ◽  
Security System ◽  
Sensor Technology ◽  
Math Model ◽  
Embeded System ◽  
Detection Technology ◽  
Interference Signals ◽  
Software And Hardware

Based on ARM,multifuncttion GPS/GPRS automobile security system was designed,which focused on security and detectiong.The system combines with detection technology, sensor technology, GPS technology, GPRS technology and digital filtering technology.This system was discussed from software and hardware. Related math model was established. Corresponding test was been brought forward to improve system reliability. Average filtering method and median filtering algorithm have been used to inhibiting interference signals with variety of frequency in software. In this paper,the advantages of this system have been discussed.The embeded system realizes the function with characteristics of low cost, high performance, real-time and reliability ,it has high practical value.

Developments in detection and determination of aflatoxins

2015 ◽  
Vol 8 (2) ◽  
pp. 181-191 ◽  
Author(s):  
H. Yao ◽  
Z. Hruska ◽  
J. Diana Di Mavungu
Keyword(s):  
Developing Countries ◽  
High Performance ◽  
Developed Countries ◽  
Detection Methods ◽  
Simple Detection ◽  
Analytical Strategies ◽  
Contaminated Food ◽  
Sample Testing ◽  
The 1960S ◽  
User Friendly

Since the discovery of aflatoxins in the 1960s, much research has focused on detecting the toxins in contaminated food and feedstuffs in the interest of public safety. Most traditional detection methods involved lengthy culturing and/or separation techniques or analytical instrumentation and complex, multistep procedures that required destruction of samples for accurate toxin determination. With more regulations for acceptable levels of aflatoxins in place, modern analytical methods have become quite sophisticated, capable of achieving results with very high precision and accuracy, suitable for regulatory laboratories and for post-harvest sample testing in developed countries. Unfortunately, many countries around the world that are affected by the aflatoxin problem do not have ready access to high performance liquid chromatography and mass spectrometry instrumentation and require alternate, readily available and simple detection methods that may be used by small holdings farmers in developing countries. This paper presents an overview of the existing detection and/or determination methods for aflatoxins. The traditional, quantitative, chemically-based analytical strategies for detecting aflatoxins in maize and their evolution to the modern instrumentation routinely used in developed countries are reviewed. Additionally, novel, more streamlined, user-friendly and in some instances, non-destructive, methods that may be useful for semi-quantitative or qualitative, quick-screening of contaminated maize samples appropriate also for use in developing countries, are discussed.

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