Vinicius Petrucci
Vinicius Petrucci

  Affiliation history
Bibliometrics: publication history
Average citations per article5.50
Citation Count77
Publication count14
Publication years2009-2017
Available for download10
Average downloads per article282.10
Downloads (cumulative)2,821
Downloads (12 Months)712
Downloads (6 Weeks)134
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14 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
December 2017 ACM Transactions on Computer Systems (TOCS): Volume 35 Issue 3, December 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 84,   Downloads (12 Months): 101,   Downloads (Overall): 101

Full text available: PDFPDF
In 2013, U.S. data centers accounted for 2.2% of the country’s total electricity consumption, a figure that is projected to increase rapidly over the next decade. Many important data center workloads in cloud computing are interactive, and they demand strict levels of quality-of-service (QoS) to meet user expectations, making it ...
Keywords: cloud computing, latency-critical applications, performance isolation, warehouse-scale computer, Data center, interference, QoS, energy efficient computing, resource efficiency, scheduling

2 published by ACM
September 2017 ACM SIGOPS Operating Systems Review - Special Topics: Volume 51 Issue 1, August 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 41,   Downloads (Overall): 41

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We introduce a thread characterization method that explores hardware performance counters and machine learning techniques to automate estimating workload execution on heterogeneous processors. We show that our characterization scheme achieves higher accuracy when predicting performance indicators, such as instructions per cycle and last-level cache misses, commonly used to determine the ...

3 published by ACM
April 2016 ACM Transactions on Computer Systems (TOCS): Volume 34 Issue 1, April 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 11,   Downloads (12 Months): 203,   Downloads (Overall): 377

Full text available: PDFPDF
As user demand scales for intelligent personal assistants (IPAs) such as Apple’s Siri, Google’s Google Now, and Microsoft’s Cortana, we are approaching the computational limits of current datacenter (DC) architectures. It is an open question how future server architectures should evolve to enable this emerging class of applications, and the ...
Keywords: emerging workloads, warehouse-scale computers, Datacenters, intelligent personal assistants

4 published by ACM
March 2015 ASPLOS '15: Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems
Publisher: ACM
Bibliometrics:
Citation Count: 15
Downloads (6 Weeks): 21,   Downloads (12 Months): 253,   Downloads (Overall): 716

Full text available: PDFPDF
As user demand scales for intelligent personal assistants (IPAs) such as Apple's Siri, Google's Google Now, and Microsoft's Cortana, we are approaching the computational limits of current datacenter architectures. It is an open question how future server architectures should evolve to enable this emerging class of applications, and the lack ...
Keywords: intelligent personal assistants, warehouse scale computers, emerging workloads, datacenters
Also published in:
May 2015  ACM SIGPLAN Notices - ASPLOS '15: Volume 50 Issue 4, April 2015 May 2015  ACM SIGARCH Computer Architecture News - ASPLOS'15: Volume 43 Issue 1, March 2015

5 published by ACM
January 2015 ACM Transactions on Embedded Computing Systems (TECS): Volume 14 Issue 1, January 2015
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 7,   Downloads (12 Months): 50,   Downloads (Overall): 408

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The current trend to move from homogeneous to heterogeneous multicore systems provides compelling opportunities for achieving performance and energy efficiency goals. Running multiple threads in multicore systems poses challenges on meeting limited shared resources, such as memory bandwidth. We propose an optimization approach that includes an Integer Linear Programming (ILP) ...
Keywords: Task scheduling, heterogeneous multicores, energy efficiency, memory bandwidth, real-time performance, optimization

6
September 2013 EMSOFT '13: Proceedings of the Eleventh ACM International Conference on Embedded Software
Publisher: IEEE Press
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 12,   Downloads (Overall): 85

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Given the wide variety of performance demands for various workloads, the trend in embedded systems is shifting from homogeneous to heterogeneous processors, which have been shown to yield performance and energy saving benefits. A typical heterogeneous processor has cores with different performance and power characteristics, that is, high performance and ...
Keywords: energy efficiency, multicore systems, shared resource contention, heterogeneous multicore, thread co-location

7
November 2012 Computers and Industrial Engineering: Volume 63 Issue 3, November, 2012
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 2

Increasingly, clusters of servers have been deployed in large data centers to support the development and implementation of many kinds of services, having distinct workload demands that vary over time, in a scalable and efficient computing environment. Emerging trends are utility/cloud computing platforms, where many network services, implemented and supported ...
Keywords: Column generation, Energy management, Server virtualization

8
October 2012 HotPower'12: Proceedings of the 2012 USENIX conference on Power-Aware Computing and Systems
Publisher: USENIX Association
Bibliometrics:
Citation Count: 4

Heterogeneous multi-core processors with big/high-performance and small/low-power cores have been proposed as an alternative design to improve energy efficiency over traditional homogeneous multi-cores. We make the case for proportional-share scheduling of threads in heterogeneous processor cores aimed at improving combined energy efficiency and performance. Our thread scheduling algorithm, lucky, is ...

9
September 2012 ICPPW '12: Proceedings of the 2012 41st International Conference on Parallel Processing Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

As computing devices absorb more of our computing needs and the energy crisis continues, specialized hardware is being built with energy conservation in mind. In particular, processor manufacturers keep increasing the number of cores and are now moving to heterogeneous multi-core processors. In this paper we propose PATA (Performance-Asymmetric Thread ...
Keywords: thread scheduling, heterogeneous multi-cores, performance

10
April 2012 RTAS '12: Proceedings of the 2012 IEEE 18th Real Time and Embedded Technology and Applications Symposium
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 6

The current trend to move from homogeneous to heterogeneous multi-core systems promises further performance and energy-efficiency benefits. A typical future heterogeneous multi-core system includes two distinct types of cores, such as high performance sophisticated (``large'') cores and simple low-power (``small'') cores. In those heterogeneous platforms, execution phases of application threads ...
Keywords: Optimization, Dynamic thread assignment, Energy efficiency, Real-time performance, Memory bandwidth

11
May 2011 CCGRID '11: Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 4,   Downloads (12 Months): 17,   Downloads (Overall): 45

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This paper proposes and evaluates an approach for power and performance management in virtualized server clusters. The major goal of our approach is to reduce power consumption in the cluster while meeting performance requirements. The contributions of this paper are: (1) a simple but effective way of modeling power consumption ...

12 published by ACM
April 2010 e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Publisher: ACM
Bibliometrics:
Citation Count: 18
Downloads (6 Weeks): 2,   Downloads (12 Months): 14,   Downloads (Overall): 501

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An increasing number of large-scale server clusters are being deployed in data centers for supporting many different web-based application services in a seamless fashion. In this scenario, the rising energy costs for keeping up those web clusters is becoming an important concern for many business. In this paper we present ...
Keywords: combinatorial optimization, power-aware computing, server virtualization, web server clusters

13 published by ACM
March 2010 SAC '10: Proceedings of the 2010 ACM Symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 1,   Downloads (12 Months): 15,   Downloads (Overall): 349

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In this paper we present an optimization solution for power and performance management in a platform running multiple independent applications. Our approach assumes a virtualized server environment and includes an optimization model and strategy to dynamically control the cluster power consumption, while meeting the application's workload demands.
Keywords: virtualization, power optimization, server clusters

14 published by ACM
March 2009 SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 0,   Downloads (12 Months): 6,   Downloads (Overall): 198

Full text available: PDFPDF
This paper presents a framework to support dynamic adaptation of applications, which consists of a reusable infrastructure with standard elements to monitor and adapt running applications, and a contract-based adaptation language to enable one to express high-level adaptation policies. The proposed framework is used to introduce dynamic adaptation capabilities into ...
Keywords: dynamic adaptation, power management, server clusters, framework



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