One-instruction set computer-based multicore processors for energy-efficient streaming data processing

Author(s):  
Minato Yokota ◽  
Kaoru Saso ◽  
Yuko Hara-Azumi
Author(s):  
Hai

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.


2020 ◽  
Vol 245 ◽  
pp. 05020
Author(s):  
Vardan Gyurjyan ◽  
Sebastian Mancilla

The hardware landscape used in HEP and NP is changing from homogeneous multi-core systems towards heterogeneous systems with many different computing units, each with their own characteristics. To achieve maximum performance with data processing, the main challenge is to place the right computing on the right hardware. In this paper, we discuss CLAS12 charge particle tracking workflow orchestration that allows us to utilize both CPU and GPU to improve the performance. The tracking application algorithm was decomposed into micro-services that are deployed on CPU and GPU processing units, where the best features of both are intelligently combined to achieve maximum performance. In this heterogeneous environment, CLARA aims to match the requirements of each micro-service to the strength of a CPU or a GPU architecture. A predefined execution of a micro-service on a CPU or a GPU may not be the most optimal solution due to the streaming data-quantum size and the data-quantum transfer latency between CPU and GPU. So, the CLARA workflow orchestrator is designed to dynamically assign micro-service execution to a CPU or a GPU, based on the online benchmark results analyzed for a period of real-time data-processing.


2020 ◽  
Vol 6 (1) ◽  
pp. 71-82
Author(s):  
Ahmad Fauzi ◽  
Dewi Wulandari

Abstract: In this era of globalization, information technology is speeding up. In managing the information required good technology because the information has a greatvalue for a company. And computer technology today with its increasingly sophisticated processing speed has enabled the development of computer-based information systems. Problems that exist in Kauman Apothecary is about the data processing that is still done manually, ranging from the admission process of incoming drugs, drugs out, often the absence of matching stock between the data with the original drug, as well as in making reports that still use microsoft excel. The design of the system is described by UML modeling, drug sales information system on web-based pharmacy kauman intranet this is the best solution, can improve the quality of data processing drugs in pharmacies kauman. And with the creation of this information system, can help simplify data processing moreleverage, while keeping data safe and minimize the data kerangkapan. The design of web-based drug sales information system is made using PHP and MySQL.Keywords: Information System, Sales, Kauman PharmacyAbstrak: Dalam era globalisasi sekarang ini, teknologi informasi melaju dengan cepatnya.Dalam mengelola informasi dibutuhkan teknologi yang baik karena informasi mempunyai nilai yang besar bagi suatu perusahaan. Dan teknologi komputer sekarang ini dengan kecepatan prosesnya yang semakin canggih telah memungkinkan pengembangan sistem informasi berbasis komputer. Masalah yang ada pada Apotek Kauman yaitu mengenai pengolahan data-datanya yang masih dilakukan secara manual, mulai dari proses penerimaan obat masuk, obat keluar, sering tidak adanya kecocokan stok antara data dengan obat aslinya, serta dalam membuat laporan yang masih menggunakan microsoft excel. Perancangan sistem digambarkan dengan pemodelan UML, sistem informasi penjualan obat pada apotek kauman berbasis web intranet ini merupakan solusi yang terbaik, dapat meningkatkan kualitas pengolahan data obat di apotek kauman. Dan dengan dibuatnya sistem informasi ini, dapat membantu mempermudah pengolahan data lebih maksimal, sekaligus menjaga data tetap aman dan meminimalisir adanya kerangkapan data. Perancangan sistem informasi penjualan obat berbasis web ini dibuat menggunakan PHP dan MySQLKata Kunci: Sistem Informasi, Penjualan, Apotek Kauman.


Author(s):  
Sebastian Götz ◽  
Thomas Ilsche ◽  
Jorge Cardoso ◽  
Josef Spillner ◽  
Uwe ASSmann ◽  
...  

2022 ◽  
pp. 1162-1191
Author(s):  
Dinesh Chander ◽  
Hari Singh ◽  
Abhinav Kirti Gupta

Data processing has become an important field in today's big data-dominated world. The data has been generating at a tremendous pace from different sources. There has been a change in the nature of data from batch-data to streaming-data, and consequently, data processing methodologies have also changed. Traditional SQL is no longer capable of dealing with this big data. This chapter describes the nature of data and various tools, techniques, and technologies to handle this big data. The chapter also describes the need of shifting big data on to cloud and the challenges in big data processing in the cloud, the migration from data processing to data analytics, tools used in data analytics, and the issues and challenges in data processing and analytics. Then the chapter touches an important application area of streaming data, sentiment analysis, and tries to explore it through some test case demonstrations and results.


Author(s):  
Zhi Qiao ◽  
Shuwen Liang ◽  
Nandini Damera ◽  
Song Fu ◽  
Hsing-bung Chen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document