Power Consumption of Parallel Programming Interfaces in Multicore Architectures: A Case Study

Author(s):  
Adriano Marques Garcia ◽  
Claudio Schepke ◽  
Alessandro Goncalves Girardi ◽  
Sherlon Almeida da Silva
2015 ◽  
Vol 25 (01) ◽  
pp. 1640005 ◽  
Author(s):  
Hitoshi Oi

Dynamic frequency scaling (DFS) is a feature commonly found in modern processors. It lowers the clock frequency of a core according to the load level and reduces the power consumption. In this paper, we present a case study of tuning DFS parameters on a platform with an AMD Phenom II X6 using the SPECjEnterprise2010 (jEnt10) and SPECjbb2005 (jbb05) as the workload. In jEnt10, a longer sampling period of core utilization (up to 1.5[Formula: see text]s) reduced the power by 6[Formula: see text]Watt at 25% load level. At 50% load level, combining it with an increased threshold level (98%) to switch the clock frequency further reduced the power consumption by up to 10[Formula: see text]Watt. In jbb05, stretching the sampling period was only effective up to 0.5[Formula: see text]s. The maximum reduction was observed at around 60% load level. Raising the threshold level was not effective for jbb05.


Author(s):  
Joshua Ofoeda

Digital platforms continue to contribute to the global economy by enabling new forms of value creation. Whereas the Information Systems literature is dominated by digital platform research, less is said about Application Programming Interfaces (APIs), the engine behind digital platforms. More so, there is a dearth in the literature on how developing economy firms create value through API integration. To address these research gaps, the author conducted a case study on DigMob (Pseudonym), a digital firm that focuses on the sale of indigenous African music to understand how it created value through API integration. Based on Amit and Zott's value creation model, the findings suggest that DigMob's value creation occurs on a broader value network comprising suppliers (e.g., payment service providers) and customers. For instance, DigMob generated value through the API-enabled platform by ensuring that music lovers purchase their preferred songs at competitive prices. DigMob has also been able to increase their revenue and brand image. Similarly, musicians have been able to rake substantial amounts of money through the sales of their music on the platform.


2019 ◽  
Vol 251 ◽  
pp. 113356
Author(s):  
Toni Tukia ◽  
Semen Uimonen ◽  
Marja-Liisa Siikonen ◽  
Claudio Donghi ◽  
Matti Lehtonen

2015 ◽  
Vol 23 (3) ◽  
pp. 596-600 ◽  
Author(s):  
Taha A Kass-Hout ◽  
Zhiheng Xu ◽  
Matthew Mohebbi ◽  
Hans Nelsen ◽  
Adam Baker ◽  
...  

Objective The objective of openFDA is to facilitate access and use of big important Food and Drug Administration public datasets by developers, researchers, and the public through harmonization of data across disparate FDA datasets provided via application programming interfaces (APIs). Materials and Methods Using cutting-edge technologies deployed on FDA’s new public cloud computing infrastructure, openFDA provides open data for easier, faster (over 300 requests per second per process), and better access to FDA datasets; open source code and documentation shared on GitHub for open community contributions of examples, apps and ideas; and infrastructure that can be adopted for other public health big data challenges. Results Since its launch on June 2, 2014, openFDA has developed four APIs for drug and device adverse events, recall information for all FDA-regulated products, and drug labeling. There have been more than 20 million API calls (more than half from outside the United States), 6000 registered users, 20,000 connected Internet Protocol addresses, and dozens of new software (mobile or web) apps developed. A case study demonstrates a use of openFDA data to understand an apparent association of a drug with an adverse event. Conclusion With easier and faster access to these datasets, consumers worldwide can learn more about FDA-regulated products.


2005 ◽  
Vol 2005 (5) ◽  
pp. 491-501 ◽  
Author(s):  
J. Flinn ◽  
P. T. Kabamba ◽  
W.-C. Lin ◽  
S. M. Meerkov ◽  
C. Y. Tang

This paper addresses the issue of battery power conservation in wireless personal area networks (WPANs). Specifically, we consider a WPAN, which contains a processor and a disk drive, and develop a collaborative power management technique, which minimizes the total WPAN power consumption. Our approach is based on the theory of rational behavior, which leads to a collaborative architecture where devices in the WPAN are equipped with cooperating rational controllers (RCs). Using, as an example, the Intel 80200 XScale processor and the Hitachi 1 GB microdrive, we show that collaborative power management using RCs offers substantial power saving compared to selfish operation, where each device attempts to minimize only its own power consumption.


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