Author image not provided
 Konstantinos Parasyris

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article2.00
Citation Count10
Publication count5
Publication years2014-2017
Available for download4
Average downloads per article217.00
Downloads (cumulative)868
Downloads (12 Months)148
Downloads (6 Weeks)15
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author




BOOKMARK & SHARE


5 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 5 of 5
Sort by:

1 published by ACM
April 2017 ACM Transactions on Architecture and Code Optimization (TACO): Volume 14 Issue 2, July 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 62,   Downloads (Overall): 191

Full text available: PDFPDF
This article introduces a significance-centric programming model and runtime support that sets the supply voltage in a multicore CPU to sub-nominal values to reduce the energy footprint and provide mechanisms to control output quality. The developers specify the significance of application tasks respecting their contribution to the output quality and ...
Keywords: Significance aware computing, energy efficiency, quality of output, unreliable hardware

2 published by ACM
February 2016 CGO '16: Proceedings of the 2016 International Symposium on Code Generation and Optimization
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 34,   Downloads (Overall): 234

Full text available: PDFPDF
Several applications may trade-off output quality for energy efficiency by computing only an approximation of their output. Current approaches to software-based approximate computing often require the programmer to specify parts of the code or data structures that can be approximated. A largely unaddressed challenge is how to automate the analysis ...
Keywords: Approximate computing, Energy efficiency, Significance analysis

3 published by ACM
May 2015 CF '15: Proceedings of the 12th ACM International Conference on Computing Frontiers
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 13,   Downloads (Overall): 175

Full text available: PDFPDF
Approximate execution is a viable technique for energy-constrained environments, provided that applications have the mechanisms to produce outputs of the highest possible quality within the given energy budget. We introduce a framework for energy-constrained execution with controlled and graceful quality loss. A simple programming model allows users to express the ...
Keywords: approximate computing, modeling, significance, energy efficiency

4 published by ACM
January 2015 PPoPP 2015: Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 3,   Downloads (12 Months): 39,   Downloads (Overall): 268

Full text available: PDFPDF
We introduce a task-based programming model and runtime system that exploit the observation that not all parts of a program are equally significant for the accuracy of the end-result, in order to trade off the quality of program outputs for increased energy-efficiency. This is done in a structured and flexible ...
Keywords: runtime system, approximate computing, programming model, Energy saving
Also published in:
December 2015  ACM SIGPLAN Notices - PPoPP '15: Volume 50 Issue 8, August 2015

5
June 2014 DSN '14: Proceedings of the 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 4

Dependable computing on unreliable substrates is the next challenge the computing community needs to overcome due to both manufacturing limitations in low geometries and the necessity to aggressively minimize power consumption. System designers often need to analyze the way hardware faults manifest as errors at the architectural level and how ...
Keywords: fault-injection, simulation, cycle accurate, full system



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us