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Profile-guided optimization
Known as:
Feedback-directed optimisation
, Profile directed feedback
, Profile-guided optimisation
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Profile-guided optimization (PGO, sometimes pronounced as pogo), also known as profile-directed feedback (PDF) and feedback-directed optimization…
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Related topics
Related topics
28 relations
Adaptive optimization
Ahead-of-time compilation
Clang
Computer programming
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning
Kwan-Yee Lin
,
Guanxiang Wang
IEEE/CVF Conference on Computer Vision and…
2018
Corpus ID: 4610712
No-reference image quality assessment (NR-IQA) is a fundamental yet challenging task in low-level computer vision community. The…
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Highly Cited
2017
Highly Cited
2017
The Effect of Information Utilization: Introducing a Novel Guiding Spark in the Fireworks Algorithm
Junzhi Li
,
Shaoqiu Zheng
,
Ying Tan
IEEE Transactions on Evolutionary Computation
2017
Corpus ID: 3802342
The fireworks algorithm (FWA) is a competitive swarm intelligence algorithm which has been shown to be very useful in many…
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Highly Cited
2009
Highly Cited
2009
Exploring the Contributions of Involving Ordinary Users in Ideation of Technology‐Based Services*
Peter R. Magnusson
2009
Corpus ID: 53585260
Exploring the Contributions of Involving Ordinary Users in Ideation of Technology-Based Services
Highly Cited
2009
Highly Cited
2009
The Development of Dynamic Inquiry Performances within an Open Inquiry Setting: A Comparison to Guided Inquiry Setting
Irit Sadeh
,
M. Zion
2009
Corpus ID: 27936150
Dynamic inquiry learning emphasizes aspects of change, intellectual flexibility, and critical thinking. Dynamic inquiry learning…
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Highly Cited
2007
Highly Cited
2007
Using a guided inquiry and modeling instructional framework (EIMA) to support preservice K‐8 science teaching
C. Schwarz
,
Y. Gwekwerere
2007
Corpus ID: 51835162
This paper presents results from a study aimed at helping preservice elementary and middle school teachers incorporate model…
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Review
2005
Review
2005
A Survey of Adaptive Optimization in Virtual Machines
Matthew Arnold
,
Stephen J. Fink
,
D. Grove
,
M. Hind
,
P. Sweeney
Proceedings of the IEEE
2005
Corpus ID: 11945476
Virtual machines face significant performance challenges beyond those confronted by traditional static optimizers. First…
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Highly Cited
2002
Highly Cited
2002
A computerized causal forecasting system using genetic algorithms in supply chain management
Bongju Jeong
,
Hosang Jung
,
N. Park
Journal of Systems and Software
2002
Corpus ID: 34417227
Highly Cited
1997
Highly Cited
1997
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
M. Kamber
,
Jiawei Han
,
Jenny Chiang
Knowledge Discovery and Data Mining
1997
Corpus ID: 12798931
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data…
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Highly Cited
1989
Highly Cited
1989
Guided tours and on-line presentations: how authors make existing hypertext intelligible for readers
C. Marshall
,
P. Irish
UK Conference on Hypertext
1989
Corpus ID: 18379360
Hypertext systems like NoteCards provide facilities for authoring large networks. But they provide little support for the…
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Highly Cited
1985
Highly Cited
1985
A Guided Tour of Combinatorial Optimization
E. Lawler
,
J. Lenstra
,
A. Kan
,
D. Shmoys
,
Weige Zhu
1985
Corpus ID: 115165906
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