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Fast System Level Benchmarks for Multicore Architectures

Alper Sen, Gokcehan Kara, Etem Deniz, Smail Niar
2014 2014 17th Euromicro Conference on Digital System Design  
We present a framework that automatically generates system level synthetic benchmarks from traditional benchmarks.  ...  In experiments we observe that not only are our system level benchmarks much smaller than the real benchmarks that they are generated from but they are also much faster.  ...  Classification of Parallel Patterns [14] not develop a system level platform model rather we develop synthetic system level applications.  ... 
doi:10.1109/dsd.2014.16 dblp:conf/dsd/0001KDN14 fatcat:hxlcwsagardi5b23b2qj4vnwum

INDOOR LIDAR RELOCALIZATION BASED ON DEEP LEARNING USING A 3D MODEL

H. Zhao, D. Acharya, M. Tomko, K. Khoshelham
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
A set of synthetic lidar frames are generated from the 3D model with known poses.  ...  Most existing indoor mapping and navigation systems cannot initialize the sensor poses automatically and consequently these systems cannot perform relocalization and recover from a pose estimation failure  ...  In this paper, synthetic images are trained with a VGG-based CNN architecture and a ResNet-based architecture.  ... 
doi:10.5194/isprs-archives-xliii-b1-2020-541-2020 fatcat:jp6bt7k46vfubgv37x2n3m6gny

Embedded instrumentation systems architecture

Nikita A. Visnevski, Raja Suresh
2007 Defense Transformation and Net-Centric Systems 2007  
The objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for test and evaluation  ...  T he objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for U.S.  ...  Figure 5 . 5 Unified Modeling Language (UML) model of the Data Acquisition and Control Unit of the Embedded Instrumentation Systems Architecture.  ... 
doi:10.1117/12.717585 fatcat:d37pvdnalfebfp6l4e7gmij3x4

Embedded Instrumentation Systems Architecture

Nikita Visnevski
2008 2008 IEEE Instrumentation and Measurement Technology Conference  
The objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for test and evaluation  ...  T he objective of the Embedded Instrumentation Systems Architecture (EISA) initiative is to develop a comprehensive methodology for large-scale, nonintrusive, flexible data collection for U.S.  ...  Figure 5 . 5 Unified Modeling Language (UML) model of the Data Acquisition and Control Unit of the Embedded Instrumentation Systems Architecture.  ... 
doi:10.1109/imtc.2008.4547209 fatcat:wl4cxc2jynd5fn3gf7yji3zab4

Retinal Image Synthesis for Glaucoma Assessment Using DCGAN and VAE Models [chapter]

Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi
2018 Lecture Notes in Computer Science  
model capable of generating labelled images.  ...  The obtained models are image synthesizers capable of generating any amount of cropped retinal images from a simple normal distribution.  ...  Results from this evaluation prove that this initial system is a promising step towards a model capable of generating labelled cropped images.  ... 
doi:10.1007/978-3-030-03493-1_24 fatcat:erznwoc4ijanbekljp5fr3fqvi

Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures [article]

Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney
2021 arXiv   pre-print
We show that for the later systems the addition of synthetic data has no relevant effect, but they still outperform the AED systems on LibriSpeech-100h.  ...  This was successfully applied in many publications with AED systems, but only very limited in the context of other ASR architectures.  ...  Except for [4] , all systems include SpecAugment.* results are averaged over multiple runs with varying silence pre-processing, see Section 4.2 Architecture Encoder Model Label Type LM Synthetic Data  ... 
arXiv:2104.05379v3 fatcat:f7w7gz4exvhlbkkvnnabbnk7x4

WeChat Neural Machine Translation Systems for WMT20 [article]

Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
2020 arXiv   pre-print
Our system is based on the Transformer (Vaswani et al., 2017a) with effective variants and the DTMT (Meng and Zhang, 2019) architecture.  ...  approaches and self-bleu based model ensemble.  ...  In the remainder of this paper, we start with an overview of model architectures in Section 2. Section 3 describes the details of our systems and training strategies.  ... 
arXiv:2010.00247v2 fatcat:uystaasuczbjrik7jqqepeol6i

Synthetic Gene Circuits for Antimicrobial Resistance and Cancer Research [chapter]

Kevin S. Farquhar, Michael Tyler Guinn, Gábor Balázsi, Daniel A. Charlebois
2021 Synthetic Genomics - From Natural to Synthetic Genomes [Working Title]  
Mathematical modeling guides the rational design of synthetic gene circuits.  ...  In this chapter, we describe modeling tools for the design and characterization of chemical- and light-inducible synthetic gene circuits in different organisms and highlight how synthetic gene circuits  ...  Mathematical models and synthetic gene circuits have established that the architecture of the gene network modulates gene expression noise [14] .  ... 
doi:10.5772/intechopen.99329 fatcat:eq5mvs7y7ng7jevir43iz2ctwu

Performance Evaluation Approach for Multi-Tier Cloud Applications

Arshdeep Bahga, Vijay K. Madisetti
2013 Journal of Software Engineering and Applications  
An architecture model captures the deployment configurations of multi-tier applications.  ...  We also describe a system bottleneck detection approach based on experimental evaluation of multi-tier applications.  ...  Output-Synthetic workload that has the same workload characteristics as real workloads. Benchmark, Workload & Architecture models used. workload characteristics.  ... 
doi:10.4236/jsea.2013.62012 fatcat:cdyolgic4vhfpmilebungbtmeu

Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression [article]

Runde Yang
2019 arXiv   pre-print
In order to build a scalable system for fast bird counting under storage and computational constraints, we use model compression techniques and efficient model structures to increase the inference speed  ...  We are able to reduce storage cost from 55MB to less than 5MB for the model with minimum loss of accuracy. This paper describes the pipelines of building an efficient bird counting system.  ...  Zhang, 2016) trained with density maps achieve state of the art performance on crowd counting compared with other architectures. In our system, we also use density map to train the model.  ... 
arXiv:1912.07106v2 fatcat:2hrfxxxwr5auxpui4rj4r5clwu

Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems [article]

Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney
2020 arXiv   pre-print
We extend state-of-the-art attention-based automatic speech recognition (ASR) systems with synthetic audio generated by a TTS system trained only on the ASR corpora itself.  ...  ASR and TTS systems are built separately to show that text-only data can be used to enhance existing end-to-end ASR systems without the necessity of parameter or architecture changes.  ...  The language models are based on the transformer architecture, similar to work presented in [23] .  ... 
arXiv:1912.09257v2 fatcat:7vjvlzmmw5ezvdfc7glmgdgdiy

A Hybrid GAN Based Approach to Solve Imbalanced Data Problem in Recommendation Systems

Wafa Shafqat, Yung-Cheol Byun
2022 IEEE Access  
This inclusion of the PacGAN architecture eliminated the mode collapse problem in our proposed model. We did a two-fold evaluation of our model.  ...  We designed the discriminator architecture with the concept of PacGAN to receive m-packed samples as input instead of a single input.  ...  In our work, we take the concept of hybrid GAN architecture to generate synthetic click sequence data and oversample the minority class to enhance the performance of recommendation systems.  ... 
doi:10.1109/access.2022.3141776 fatcat:btxxp4vpy5gvxcbmzs2kc5jmlq

Seismic expression of channel outcrops: Offset stacked versus amalgamated channel systems

A.M. Schwab, B.T. Cronin, H. Ferreira
2007 Marine and Petroleum Geology  
These were the input for the forward seismic models, which constructed various frequency synthetic seismic sections of the two outcrops.  ...  Forward seismic models of two 'seismic scale' outcrops of different style channel systems have been made to investigate their seismic signature.  ...  Acknowledgements We would like to thank GX Technology for the EarthWave Gxii modelling software, B. Fulton for drafting, and Sonangol for permission to publish the seismic figures. We also thank I.  ... 
doi:10.1016/j.marpetgeo.2006.10.009 fatcat:y4u4gmgodvgmrp4kig2l35vjvy

Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods

Kaya Turgut, Helin Dutagaci, Gilles Galopin, David Rousseau
2022 Plant Methods  
Pre-training with synthetic 3D models boosted the performance of all architectures, except for PointNet.  ...  We generated 3D synthetic rosebush models to provide adequate amount of labeled data for modification and pre-training of these architectures.  ...  Incorporation of synthetic plants through generative models such as Lindenmayer systems (L-systems) [48, 49] into training data is effective with 2D plant phenotyping [50] .  ... 
doi:10.1186/s13007-022-00857-3 pmid:35184728 pmcid:PMC8858499 fatcat:2aibu6lj75gj3diiwo35snlr7q

The Deep-Water Architecture Knowledge Base: towards an objective comparison of deep-marine sedimentary systems

J. H. Baas, W. D. McCaffrey, R. J. Knipe
2005 Petroleum Geoscience  
to the source area, and the construction of idealized models for sand-rich and mixed mud-sand systems based on probabilities of spatial transitions between architectural elements.  ...  system and referred to as the Deep-Water Architecture Knowledge Base (DWAKB).  ...  Both systems have predictable arrangement of most architectural elements. In general agreement with existing models, the synthetic sand-rich system lacks levees.  ... 
doi:10.1144/1354-079304-642 fatcat:wny327ujbvdmvcgdnjgniemzi4
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