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Institution

INESC-ID

NonprofitLisbon, Portugal
About: INESC-ID is a nonprofit organization based out in Lisbon, Portugal. It is known for research contribution in the topics: Field-programmable gate array & Control theory. The organization has 932 authors who have published 2618 publications receiving 37658 citations.


Papers
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Journal ArticleDOI
TL;DR: Parametric and implicit models provide more compact descriptions than meshes, while making it possible to approximate mechanical parts with great precision, and either implicit or parametric superovoids can provide more accurate distance estimations than meshes in practical settings where precise contact points, surface normals and clearance estimations are required.

19 citations

Proceedings ArticleDOI
José Simão1, Luís Veiga1
02 Dec 2013
TL;DR: This work proposes to schedule cloud isolation and execution units, i.e. virtual machines (VMs), driven by the partial utility of applying a certain amount of resources to a given VM by incorporating a SLA-based depreciation of computational power, allowing for more VMs to be allocated.
Abstract: Current clouds SLAs include compensation for customers (i.e. resource renters) with credits when average availability drops below a certain point. However, this credit scheme is too inflexible because consumers lose a non measurable quantity of performance and are only compensated later (i.e. in the next charging cycle). We propose to schedule cloud isolation and execution units, i.e. virtual machines (VMs), driven by the partial utility of applying a certain amount of resources (CPU, memory or bandwidth) to a given VM. This partial utility metric, specified by the customer, allows the provider to transfer resources between VMs. This is particularly relevant for private clouds where resources are not so abundant. We have defined a cost model that incorporates the partial utility the client gives to a certain level of depreciation when VMs are allocated in an over commit environment. CloudSim, a state of the art cloud simulator, was extended to support our partial utility-driven scheduling model. Using simulation scenarios with synthetic and real workloads, we show that our proposed scheduling strategy brings benefits to providers (i.e. revenue, resource utilization) and clients (i.e. workloads' execution time) by incorporating a SLA-based depreciation of computational power, allowing for more VMs to be allocated.

19 citations

Book ChapterDOI
07 Apr 2010
TL;DR: This paper derives formally a specific GDE for the space of genetic programs by acting directly on their tree representation and presents experimental results for the new algorithm.
Abstract: Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific GDE for both continuous and combinatorial spaces retaining the same geometric interpretation of the dynamics of the DE search across representations. In this paper, we derive formally a specific GDE for the space of genetic programs. The result is a Differential Evolution algorithm searching the space of genetic programs by acting directly on their tree representation. We present experimental results for the new algorithm.

19 citations

Proceedings ArticleDOI
03 Sep 2008
TL;DR: An efficient hardware SAD unit that computes this Manhattan distance independently of each RNS channel is proposed and allows the implementation of real-time motion estimators for high resolution images according to the most recent standards for video coding.
Abstract: The sum of absolute differences (SAD) is a distance metric commonly used to determine the similarity between two data sets. A very recent method for directly comparing the magnitude of two numbers represented in residue number systems (RNS) leads to the possibility of using modular arithmetic to compute the SAD. In this paper we propose an efficient hardware SAD unit that computes this Manhattan distance independently of each RNS channel. Therefore, the processing time can be reduced by simultaneously exploiting the carry-free characteristic of the modular arithmetic and the new method proposed by the authors of this paper to compare the magnitude of numbers in RNS. The proposed architecture is suitable to implement SAD units in application specific integrated circuit (ASIC) and in field programmable gate array (FPGA). In order to evaluate the performance of the proposed structures a hardware processor for computing the minimum SAD was implemented in a FPGA and ASIC. From the experimental results it was possible to obtain operating frequencies above 200 MHz for XILINX FPGAs XC2VP50-7 and XC4VLX80-12, and 300 MHz for the ASIC implementation. These results allow the implementation of real-time motion estimators for high resolution images according to the most recent standards for video coding.

19 citations

Posted Content
TL;DR: In this paper, an enhanced automatic keyphrase extraction method applied to Broadcast News is described, which is used to create a concept level for each news and contribute to the generation of a tag/keyphrase cloud of the top news included in a Multimedia Monitoring Solution system for TV and Radio news/programs.
Abstract: This paper describes an enhanced automatic keyphrase extraction method applied to Broadcast News. The keyphrase extraction process is used to create a concept level for each news. On top of words resulting from a speech recognition system output and news indexation and it contributes to the generation of a tag/keyphrase cloud of the top news included in a Multimedia Monitoring Solution system for TV and Radio news/programs, running daily, and monitoring 12 TV channels and 4 Radios.

19 citations


Authors

Showing all 967 results

NameH-indexPapersCitations
João Carvalho126127877017
Jaime G. Carbonell7249631267
Chris Dyer7124032739
Joao P. S. Catalao68103919348
Muhammad Bilal6372014720
Alan W. Black6141319215
João Paulo Teixeira6063619663
Bhiksha Raj5135913064
Joao Marques-Silva482899374
Paulo Flores483217617
Ana Paiva474729626
Miadreza Shafie-khah474508086
Susana Cardoso444007068
Mark J. Bentum422268347
Joaquim Jorge412906366
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202252
202196
2020131
2019133
2018126