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A framework for adaptive algorithm selection in STAPL

Nathan Thomas, Gabriel Tanase, Olga Tkachyshyn, Jack Perdue, Nancy M. Amato, Lawrence Rauchwerger
2005 Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming - PPoPP '05  
Toward this goal, we have developed a general framework for adaptive algorithm selection for use in the Standard Template Adaptive Parallel Library (STAPL).  ...  One way to address this problem is to adaptively select the best parallel algorithm for the current input data and system from a set of functionally equivalent algorithmic options.  ...  In this paper, we describe a general framework for adaptive algorithm selection that we have developed for use in the Standard Template Adaptive Parallel Library (STAPL) [2, 1, 28, 31 ].  ... 
doi:10.1145/1065944.1065981 dblp:conf/ppopp/ThomasTTPAR05 fatcat:2ny2q5aezbgbboafjbmhgjmuha

STAPL

Antal Buss, Nancy M. Amato, Lawrence Rauchwerger, Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith, Gabriel Tanase, Nathan Thomas, Xiabing Xu, Mauro Bianco
2010 Proceedings of the 3rd Annual Haifa Experimental Systems Conference on - SYSTOR '10  
The Standard Template Adaptive Parallel Library (stapl) is a high-productivity parallel programming framework that extends C++ and stl with unified support for shared and distributed memory parallelism  ...  In this paper, we describe the major components of stapl and present performance results for both algorithms and data structures showing scalability up to tens of thousands of processors.  ...  to emphasize adaptivity, providing frameworks for algorithm selection, data distribution selection, and to refine or coarsen the degree of parallelism during execution of a program.  ... 
doi:10.1145/1815695.1815713 dblp:conf/systor/BussHPPSTTXBAR10 fatcat:r642uz4f2vg6pmzmuvlxtzfmge

Object Tracking Algorithm Based on Dual Color Feature Fusion with Dimension Reduction

Shuo Hu, Yanan Ge, Jianglong Han, Xuguang Zhang
2018 Sensors  
The proposed method is based on fusion in the framework of the Staple algorithm, and dimension reduction by Principal Component Analysis (PCA) on the scale; the complexity of the algorithm is reduced,  ...  tracking algorithms in complex scenarios.  ...  Qualitative Analysis In order to better verify the effectiveness of the proposed algorithm, the algorithm run on the OTB-13 [32] , and selected five challenging data sets for verification.  ... 
doi:10.3390/s19010073 fatcat:moevopy2bfdqbf5zdl2xq3dy6i

On the Use of Performance Models for Adaptive Algorithm Selection on Heterogeneous Clusters

Sami Achour, Wahid Nasri, Luiz Angelo Steffenel
2009 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing  
In Thomas et al. [18] , the authors developed a general framework for adaptive algorithm selection for use in the Standard Template Adaptive Parallel Library (STAPL).  ...  Their framework uses machine-learning techniques to analyze data collected by STAPL installation benchmarks and to select different algorithms for sorting and matrix multiplication at run-time.  ... 
doi:10.1109/pdp.2009.67 dblp:conf/pdp/AchourNS09 fatcat:ophc2f2orzhnzk65zecilbsjqq

The STAPL parallel container framework

Gabriel Tanase, Nedal Mourad, Jeremy Vu, Mauro Bianco, Nancy M. Amato, Lawrence Rauchwerger, Antal Buss, Adam Fidel, Harshvardhan Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith (+2 others)
2011 SIGPLAN notices  
The Standard Template Adaptive Parallel Library (STAPL) is a parallel programming infrastructure that extends C++ with support for parallelism.  ...  In this work, we present the STAPL Parallel Container Framework (PCF), that is designed to facilitate the development of generic parallel containers.  ...  STAPL Overview STAPL [2, 3, 22, 27] is a framework for parallel C++ code development ( Fig. 1) .  ... 
doi:10.1145/2038037.1941586 fatcat:6752denkk5gajmrmgaltps7qei

The STAPL parallel container framework

Gabriel Tanase, Nedal Mourad, Jeremy Vu, Mauro Bianco, Nancy M. Amato, Lawrence Rauchwerger, Antal Buss, Adam Fidel, Harshvardhan Harshvardhan, Ioannis Papadopoulos, Olga Pearce, Timmie Smith (+2 others)
2011 Proceedings of the 16th ACM symposium on Principles and practice of parallel programming - PPoPP '11  
The Standard Template Adaptive Parallel Library (STAPL) is a parallel programming infrastructure that extends C++ with support for parallelism.  ...  In this work, we present the STAPL Parallel Container Framework (PCF), that is designed to facilitate the development of generic parallel containers.  ...  STAPL Overview STAPL [2, 3, 22, 27] is a framework for parallel C++ code development ( Fig. 1) .  ... 
doi:10.1145/1941553.1941586 dblp:conf/ppopp/TanaseBFHPPSTXMVBAR11 fatcat:4sp6rpw6j5gebollam6cm63obi

STAPL: An Adaptive, Generic Parallel C++ Library [chapter]

Ping An, Alin Jula, Silvius Rus, Steven Saunders, Tim Smith, Gabriel Tanase, Nathan Thomas, Nancy Amato, Lawrence Rauchwerger
2003 Lecture Notes in Computer Science  
STAPL provides several different algorithms for some library routines, and selects among them adaptively at run-time.  ...  We present results obtained using STAPL for a molecular dynamics code and a particle transport code.  ...  Acknowledgements We would like to thank Danny Rintoul of Sandia National Laboratories for providing us with the molecular dynamics application presented in Section 4.2.  ... 
doi:10.1007/3-540-35767-x_13 fatcat:c4tobyub7jdw5gqgqjhqo3m6xu

How Far Can You Get by Combining Change Detection Algorithms? [chapter]

Simone Bianco, Gianluigi Ciocca, Raimondo Schettini
2017 Lecture Notes in Computer Science  
Given the existence of many change detection algorithms, each with its own peculiarities and strengths, we propose a combination strategy, that we termed IUTIS (In Unity There Is Strength), based on a  ...  genetic Programming framework.  ...  For example in [60] , [61] the STAPLE algorithm uses an Expected Maximization strategy for estimating the "ground truth" segmentation from a group of expert segmentations in the context of medical imaging  ... 
doi:10.1007/978-3-319-68560-1_9 fatcat:xnjehvcmmzg7xkj233ml5bozq4

Multi-Feature Single Target Robust Tracking Fused with Particle Filter

Caihong Liu, Mayire Ibrayim, Askar Hamdulla
2022 Sensors  
Secondly, this paper designs a re-detection module of a fusion particle filter for the problem of how to return to accurate tracking after the target tracking fails, so that the algorithm in this paper  ...  The algorithm is based on the correlation filtering framework.  ...  In this paper, a reliable fraction S h is selected into the set C h by defining a factor A for M h .  ... 
doi:10.3390/s22051879 pmid:35271025 pmcid:PMC8914627 fatcat:5z4jwmbepvaexphptlwll73dhu

Robust Visual Tracking Using Structural Patch Response Map Fusion Based on Complementary Correlation Filter and Color Histogram

Zhaohui Hao, Guixi Liu, Jiayu Gao, Haoyang Zhang
2019 Sensors  
To identify and take full advantage of reliable patches, we present an adaptive hedge algorithm to hedge the responses of patches into a more credible one in each component tracker.  ...  A part-based strategy has been applied to visual tracking with demonstrated success in recent years.  ...  (2) We develop an adaptive hedge algorithm for part-based tracking framework by adaptively considering the proportion of instantaneous and cumulative regrets of each expert over time.  ... 
doi:10.3390/s19194178 fatcat:nc3hl2ua2fby3hibpsvr3wuepm

Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies [chapter]

Vadim Lyubanenko, Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Jukka Häkkinen
2017 Lecture Notes in Computer Science  
In this work, a framework for multi-camera finger movement measurements in 3D is proposed.  ...  In practice, this can be achieved by accurately measuring hand movements in 3D by using a camera-based system and computer vision.  ...  In this paper, a multi-camera framework for measuring hand movements in HCI studies is presented.  ... 
doi:10.1007/978-3-319-70353-4_6 fatcat:i72s2jy73zectnswike7fbakie

Correlation Filter with Motion Detection for Robust Tracking of Shape-deformed Targets

Chengyuan Liu, Jianglei Gong, Jiang Zhu, Jinxin Zhang, Yunyi Yan
2020 IEEE Access  
THE STAPLE TRACKER Staple [17] is a tracker that combines complementary cues in a ridge regression framework.  ...  At present, there is no framework or algorithm with a good performance for tracking the blocked target, which is the direction we will study in the next step.  ... 
doi:10.1109/access.2020.2993777 fatcat:ieyq66amefe5tdeihuexvmcdku

GPU Based Video Object Tracking on PTZ Cameras

Cevahir Cigla, Kemal Emrecan Sahin, Fikret Alim
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
This is to our best knowledge the first efficient implementation of CF trackers on a mobile GPU platform with use of multiple features, scale and background adaptation.  ...  For this purpose, state-ofthe-art correlation filter (CF) based video object tracking (VOT) algorithms are exploited regarding their high performance.  ...  Algorithm Selection and GPU implementation The algorithmic complexity and availability are the key constraints that are faced during the selection of algorithms for a real-time performing system.  ... 
doi:10.1109/cvprw.2018.00108 dblp:conf/cvpr/CiglaSA18 fatcat:mt5vvuzpi5f3dgk7qytak7626y

An Automatic Multi-atlas Segmentation of the Prostate in Transrectal Ultrasound Images Using Pairwise Atlas Shape Similarity [chapter]

Saman Nouranian, S. Sara Mahdavi, Ingrid Spadinger, William J. Morris, Septimiu E. Salcudean, Purang Abolmaesumi
2013 Lecture Notes in Computer Science  
In this paper, we propose a multiatlas fusion framework to automatically segment prostate transrectal ultrasound images.  ...  It is desirable to have a fully automatic segmentation for improved segmentation consistency and speed.  ...  The authors would also like to thank the physicians, therapists and staff at the Vancouver Cancer Center who have contributed in this project.  ... 
doi:10.1007/978-3-642-40763-5_22 fatcat:d7dcruzrkfbpjes4tudglrgc5i

Adaptive Distraction Context Aware Tracking Based on Correlation Filter [article]

Fei Feng, Xiao-Jun Wu, Tianyang Xu, Josef Kittler, Xue-Feng Zhu
2019 arXiv   pre-print
In the response map obtained for the previous frame by the CF algorithm, we adaptively find the image blocks that are similar to the target and use them as negative samples.  ...  The Discriminative Correlation Filter (CF) uses a circulant convolution operation to provide several training samples for the design of a classifier that can distinguish the target from the background.  ...  introduced color features in the CF framework, and proposed color names (CN) features [10] and complementary learners for real-time tracking algorithms (Staple) [11] .  ... 
arXiv:1912.11325v1 fatcat:hmnzg57m6fa7xp6euwhkoc6mva
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