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A Programmable Approach to Model Compression [article]

Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan
2019 arXiv   pre-print
In this paper, we introduce a programmable system for model compression called Condensa. Users programmatically compose simple operators, in Python, to build complex compression strategies.  ...  Compressing models before they are deployed can therefore result in significantly more efficient systems.  ...  This programmable approach to model compression enables users to experiment and rapidly converge to an ideal scheme for a given compression context, avoiding manual trial-and-error search.  ... 
arXiv:1911.02497v1 fatcat:mrd3phetvjgptbtz4gjg77dmcm

Subject Index

2013 Sadhana (Bangalore)  
novel approach of manufacturing Nickel Wicks for loop heat pipes using Metal Injec- tion Moulding (MIM) 281 Lossless compression ROI-based DICOM image compression for telemedicine 123 Low power  ...  Fusion research programme in India 839 Polymorphism Crystallization: Key thermodynamic, kinetic and hydrodynamic aspects 1287 Pore diameter A novel approach of manufacturing Nickel Wicks for  ... 
doi:10.1007/s12046-014-0233-x fatcat:hlochqn2prcmvjcuucrs5cykme

Machine Learning for Systems

Heiner Litz, Milad Hashemi
2020 IEEE Micro  
The second article, "A Programmable Approach to Neural Network Compression," explores compression and pruning techniques to reduce the size and computational complexity of deep neural networks.  ...  This article introduces a programmable system to easily explore and automatically optimize the compression strategy enabling significant performance gains and storage savings.  ... 
doi:10.1109/mm.2020.3016551 fatcat:7lbbknjtmjamha2ek5fnc2tbem

High-Level Support for Pipeline Parallelism on Many-Core Architectures [chapter]

Siegfried Benkner, Enes Bajrovic, Erich Marth, Martin Sandrieser, Raymond Namyst, Samuel Thibault
2012 Lecture Notes in Computer Science  
The EU project PEPPHER addresses these issues with a component-based approach to application development on top of a taskparallel execution model.  ...  Experimental results indicate that with our high-level approach performance comparable to manual parallelization can be achieved.  ...  with a task-parallel execution model.  ... 
doi:10.1007/978-3-642-32820-6_61 fatcat:gquq7t4rzjgwlfsqw5gxy7bvve

The PAGIS Grid Application Environment [chapter]

Darren Webb, Andrew L. Wendelborn
2003 Lecture Notes in Computer Science  
We are developing a programming model that incorporates a familiar, formal computational model and a reflective interface.  ...  The programming model, called PAGIS, provides a desirable abstract computer with an interface to introduce and customize Grid functionality.  ...  A programming model defines an abstract machine, user libraries and software tools a programmer uses to interact with a system.  ... 
doi:10.1007/3-540-44863-2_110 fatcat:wjgkrokd7zdvlfyhrc5ccm54gm

Computational Compressed Sensing of Fiber Bragg Gratings [article]

Srikanth Sugavanam, Adenowo Gbadebo, Morteza Kamalian-Kopae, Angshul Majumdar
2021 arXiv   pre-print
We demonstrate temperature sensing using a pre-calibration approach to achieve reconstruction accuracy comparable to uncompressed measurements.  ...  approaches.  ...  Acknowledgements SS would like to thank Dr. Vladimir Gordienko and Dr. Nand Kumar Meena for fruitful discussions.  ... 
arXiv:2106.09544v1 fatcat:netv3k2xund2xg55icgbbmalqy

The Recuperated Split Cycle - Experimental Combustion Data from a Single Cylinder Test Rig

Robert E. Morgan, Neville Jackson, Andrew Atkins, Guangyu dong, Morgan Heikal, Christopher lenartowicz
2017 SAE International Journal of Engines  
In a split cycle engine, the compression and combustion strokes are performed in separate chambers.  ...  However, the achievement of complete, stable, compression ignited combustion has remained elusive to date.  ...  The authors would like to thank Delphi for the supply of the DFI 1.5 fuel system and subsequent support and LMS for the provision of the AMESim software under their academic support programme.  ... 
doi:10.4271/2017-24-0169 fatcat:h4x7smvxbrhvdcekbw4rqfavyy

Next Steps for Compressively Sensed Video in Transmission Electron Microscopy

B. W. Reed, N. Moghadam, R. S. Bloom, S. T. Park, D. J. Masiel
2018 Microscopy and Microanalysis  
Compressive sensing (CS) is a fast-emerging approach for improving data throughput by taking advantage of the inherent compressibility of real world data-the same kind of compressibility that allows millions  ...  they wanted to ask.  ...  It can be hard to trust complicated analysis approaches that, in a series of semiopaque steps, calculate backwards from a measurement to create some idealized ground truth model.  ... 
doi:10.1017/s1431927618002969 fatcat:lcvpwridfjf2tfbh6ht7lkoczy

Facilitating the Implementation of Adaptive Cloud Offloading to Improve the Energy Efficiency of Mobile Applications

Young-Woo Kwon, Eli Tilevich
2015 2015 2nd ACM International Conference on Mobile Software Engineering and Systems  
However, implementing cloud offloading techniques remains a delicate and complex task, reserved for expert programmers.  ...  As we have discovered, reusable system building blocks exposed via a convenient programming model can facilitate the implementation of complex cloud offloading optimizations.  ...  general system architecture exposed to the programmer via a convenient programming model.  ... 
doi:10.1109/mobilesoft.2015.21 dblp:conf/icse/KwonT15 fatcat:sajxwtbuprfizn6dk2xqmpsvty

Statistical Physics and Algorithms

Dana Randall, Markus Bläser, Christophe Paul
2020 Symposium on Theoretical Aspects of Computer Science  
Self-organizing particle systems based on statistical models with phase changes have been used to achieve basic tasks involving coordination, movement, and conformation in a fully distributed, local setting  ...  The second is in the context of distributed algorithms for programmable matter.  ...  Our approach to this and other basic tasks proceeds as follows. We first choose a Hamiltonian H(σ) over particle configurations that assigns lower values to preferable (compressed) configurations.  ... 
doi:10.4230/lipics.stacs.2020.1 dblp:conf/stacs/Randall20 fatcat:kpwoi2oafng6vecu5tereuzg3u

Schedulers as model-based design elements in programmable heterogeneous multiprocessors

JoAnn M. Paul, Alex Bobrek, Jeffrey E. Nelson, Joshua J. Pieper, Donald E. Thomas
2003 Proceedings of the 40th conference on Design automation - DAC '03  
Starting from a fundamental model, the role schedulers play in PHMs is developed. Model-based scheduling is introduced as an approach to designing schedulers that optimize a PHM's performance.  ...  Experiments for a simple two-processor PHM that does a mix of image and text compression are included. Results show the effectiveness of model-based scheduling.  ...  We refer to this approach as model-based scheduling.  ... 
doi:10.1145/775832.775938 dblp:conf/dac/PaulBNPT03 fatcat:llehfjx5bfdxdlroq7nmbetwvq

Schedulers as model-based design elements in programmable heterogeneous multiprocessors

JoAnn M. Paul, Alex Bobrek, Jeffrey E. Nelson, Joshua J. Pieper, Donald E. Thomas
2003 Proceedings of the 40th conference on Design automation - DAC '03  
Starting from a fundamental model, the role schedulers play in PHMs is developed. Model-based scheduling is introduced as an approach to designing schedulers that optimize a PHM's performance.  ...  Experiments for a simple two-processor PHM that does a mix of image and text compression are included. Results show the effectiveness of model-based scheduling.  ...  We refer to this approach as model-based scheduling.  ... 
doi:10.1145/775935.775938 fatcat:ljfo4l66dbhi5pbbxjnxfffgx4

Evolvable hardware for space applications [chapter]

Adrian Stoica, Alex Fukunaga, Ken Hayworth, Carlos Salazar-Lazaro
1998 Lecture Notes in Computer Science  
level, which is work in progress, (3) evolution of dynamical systems in state-space representations, for which a "modeling clay" approach was proposed, partly demonstrated in hardware, (4) evolution of  ...  algorithms for onboard signal processing, where we addressed Iossless compression, for which we obtai ncd compression ratios superior to that of the best Iossless compression.  ...  The authors wish to thank Anil Thakoor, Sarita Thakoor, Benny Toomarian for ideas shared during discussions on evolvable hardware.  ... 
doi:10.1007/bfb0057618 fatcat:toortlfrvjfrze26n2exgd6g3y

Page 422 of SMPTE Motion Imaging Journal Vol. 103, Issue 7 [page]

1994 SMPTE Motion Imaging Journal  
Zortea The use of a neural network as an alternate architecture for video camera processing is investigated, and a novel approach to training and reducing the size of the network is presented.  ...  In a camera processor programmability may be useful because it gives the user greater technical and artistic freedom to suit the application.  ... 

Programmable Process Structure Based Analysis of Hydrogen Supply Chains

Mónika Varga, Catherine Azzaro-Pantel, José Manuel Flores-Perez, Béla Csukás
2019 Hungarian Journal of Industry and Chemistry  
In this paper, the non-conventional modeling and simulation methodology of Programmable Process Structures is applied for the description of these process systems.  ...  Programmable Process Structures of HSC models are generated from the two general functional meta-prototypes of the method and from the description of the studied HSC network.  ...  Dynamic simulation-based approaches (including the actually studied Programmable Process Structures) may contribute towards solutions to these problems.  ... 
doi:10.33927/hjic-2019-20 fatcat:rdrzhdu6qzea5dwpsmrrjhgjvq
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