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Expression Synthesis in Process Networks generated by LAURA
2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05)
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COMPAAN rewrites the original Matlab application as a Process Network in which the control is parameterized and distributed. ...
The COMPAAN/LAURA [18] tool chain maps nested loop applications written in Matlab onto reconfigurable platforms, such as FPGAs. ...
Therefore, the process networks derived by LAURA run efficiently in hardware for stream based applications. ...
doi:10.1109/asap.2005.34
dblp:conf/asap/ZissulescuKD05
fatcat:k7tvtnqlizfbdhl3zzi3dumgz4
Automated synthesis of streaming C applications to process networks in hardware
2009
2009 Design, Automation & Test in Europe Conference & Exhibition
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In this paper, we present an extension on the ESPAM methodology by incorporating the industrial high level synthesis tool PICO from Synfora Inc. ...
In this way, we realize the automated generation of efficient hardware implementations on FPGAs from a single sequential C input specification of a streaming application. ...
This results in a network of multiple smaller units of execution which we call processes. Each process can again be expressed as a C program. ...
doi:10.1109/date.2009.5090789
dblp:conf/date/HaastregtK09
fatcat:oh3j3icpnffgvb4iiikasnnnhm
Engaging the p53 metabolic brake drives senescence
2013
Cell Research
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A recent study published in Nature reveals a novel connection between p53 and metabolism: p53 transcriptionally represses the expression of malic enzymes and associated NADPH production, which in turn ...
Indeed, a diversity of studies has revealed that p53 counteracts cancer-associated metabolic transformation at various points in the metabolic network. Underscoring the importance ...
One of the hallmarks of tumor cells is that they actively engage aerobic glycolysis as a means to generate components for macromolecular synthesis and for NADPH production [7] . ...
doi:10.1038/cr.2013.34
pmid:23478296
pmcid:PMC3674383
fatcat:rzty7jx3tjavfed5ed2x26eyyq
Editorial: Regulation of and by the Plant Cell Wall
2020
Frontiers in Plant Science
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In another primarily bioinformatic study of woody species, Seyfferth et al. use an aspen transcriptome database to generate a co-expression network of genes involved in ethylene signaling, pursuing the ...
A single nucleotide polymorphism in a NAC transcription factor-binding motif reduces AtCesA4 gene expression by 2-fold. ...
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...
doi:10.3389/fpls.2020.00513
pmid:32411172
pmcid:PMC7201071
fatcat:2wrc7a75grfprkrurgaqto5bmi
HUPO Highlights
2009
Proteomics
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An HLPP workshop was held in conjunction with the 7th HUPO ...
for protein separation, a data set generated by Andrew Emili (University of Toronto) using an organelle approach and a data set generated by Laura Beretta using 2D-HPLC followed by SDS PAGE for protein ...
All MS data obtained by the Beretta group at FHCRC on both HLPP liver reference samples were processed by Eric Deutsch in PeptideAtlas (www.peptideatlas.org). ...
doi:10.1002/pmic.200990080
pmid:19862759
pmcid:PMC4594800
fatcat:iphe2x35tnehlbvs7skw2j5d3i
On the Calibration of Abstract Performance Models for System-level Design Space Exploration
2006
2006 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation
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We discuss these model calibration mechanisms in the context of our Sesame system-level simulation framework. ...
This requires validation (if possible) and calibration of the simulation models, which are two aspects that have not yet been widely addressed in the system-level community. ...
This implies that applications are structured as a network of concurrent communicating 1 processes, thereby expressing the inherent task-level parallelism available in the application and making communication ...
doi:10.1109/icsamos.2006.300811
dblp:conf/samos/PimentelTPE06
fatcat:oelmb4qdsfebnfainoeugrlj2q
Evolutionary Learning and Stochastic Process Algebra
[chapter]
2012
Encyclopedia of the Sciences of Learning
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This extended abstract discusses research using genetic programming to evolve stochastic processes, as modelled in the stochastic picalculus. ...
Acknowledgements This research is funded by NSERC Operating Grant 138467. ...
Target behaviours were denoted by time-series plots of substrate quantities, as generated by in silico simulations. ...
doi:10.1007/978-1-4419-1428-6_1011
fatcat:uslbkxcaynfmxpvgvo5sfbvh2a
High-level dataflow design of signal processing systems for reconfigurable and multicore heterogeneous platforms
2013
Journal of Real-Time Image Processing
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This study describes a dataflow-based design methodology aiming at a unified co-design and co-synthesis of heterogeneous systems. ...
The HW back-end, Laura, transform the KPN model expressed by MATLAB code to VHDL. KPN-based models are much more expressive than more restricted MoC and can cover a much broader set of applications. ...
[6] or Kahn process networks (KPN) [7] . ...
doi:10.1007/s11554-013-0326-5
fatcat:lnullnukzfg4haq2dnobeqib2e
Deriving efficient control in Process Networks with Compaan/Laura
2008
International Journal of Embedded Systems
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In this chain, first the Matlab code is converted automatically to an executable Kahn Process Network (KPN) specification [6], then a tool called Laura transforms the PN specification into a design implementation ...
At Leiden Embedded Research Center (LERC), we are building a tool chain called Compaan/Laura that allows us to map rapidly and efficiently signal processing applications written in Matlab onto reconfigurable ...
Compaan/Laura design flow As mentioned in the introduction, we assume that the process networks are derived using the Compaan toolset. ...
doi:10.1504/ijes.2008.020298
fatcat:oiqklwlki5dyzoklrozxjepk3u
Parameterized Looped Schedules for Compact Representation of Execution Sequences in DSP Hardware and Software Implementation
2007
IEEE Transactions on Signal Processing
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generation for Kahn processes on field-programmable gate arrays (FPGAs), and software synthesis for static dataflow models of computation. ...
In this paper, we significantly generalize previous models for loop-based code compaction of digital signal processing (DSP) programs to yield a configurable code compression methodology that exhibits ...
APPLICATION: SYNTHESIS FROM KAHN PROCESS NETWORKS The computation model of Kahn process networks (KPNs) [13] , [17] expresses applications in terms of distributed control and memory, and is one of various ...
doi:10.1109/tsp.2007.893964
fatcat:wkbuhxdngrhg5gm55fnbtiqxpq
Calibration of Abstract Performance Models for System-Level Design Space Exploration
2007
Journal of Signal Processing Systems
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We discuss these model calibration mechanisms in the context of our Sesame system-level simulation framework. ...
This requires validation (if possible) and calibration of the simulation models, which are two aspects that have not yet been widely addressed in the system-level community. ...
This implies that applications are structured as a network of concurrent communicating processes 1 , thereby expressing the inherent task-level parallelism available in the application and making communication ...
doi:10.1007/s11265-007-0085-2
fatcat:7haacgs7jzbwhcmbo2e7gj5gpm
Rigorous synthesis and simulation of complex distillation networks
2010
AIChE Journal
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Recent insights for better understanding the thermodynamic foundations of separation processes have renewed the interest in exploring energy-efficient distillation networks. ...
By using our computational results as input, AspenPlus simulations converged in a few iterations. ...
Methodology
Network synthesis Forward simulation also known as performance calculations is a popular technique for distillation process design. ...
doi:10.1002/aic.12245
fatcat:y2f77xitlbgkfgtz3qapuecd7m
Parameterized Looped Schedules for Compact Representationof Execution Sequences
2006
IEEE 17th International Conference on Application-specific Systems, Architectures and Processors (ASAP'06)
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Such compaction, which can be viewed as a form of hierarchical run-length encoding (RLE), has application in many DSP system synthesis contexts, including efficient control generation for Kahn processes ...
11% code size reduction in software synthesis compared to existing methods for code size reduction. ...
Application: synthesis from Kahn process networks The computation model of the Kahn Process Network (KPN) expresses applications in terms of distributed control and memory. ...
doi:10.1109/asap.2006.51
dblp:conf/asap/KoZP06
fatcat:mxfoy2yos5gatpaipgpjr66a5i
TRNA mutations that affect decoding fidelity deregulate development and the proteostasis network in zebrafish
2014
RNA Biology
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development and the proteostasis network in zebra sh 2014; 11(8) http://dx. ...
A Santos (2014): TRNA mutations that affect decoding fidelity deregulate development and the proteostasis network in zebrafish, RNA Biology, Transfer RNA mutations that a ect decoding delity deregulate ...
TRNA mutations that affect decoding fidelity deregulate development and the proteostasis network in zebrafish Marisa Reverendo
a
, Ana R Soares
a , Patrícia M Pereira
a , Laura Carreto
a , Violeta ...
doi:10.4161/rna.32199
pmid:25483040
pmcid:PMC4615818
fatcat:6ua3z3ev2rgype2grsmmplhjiu
RobustFill: Neural Program Learning under Noisy I/O
[article]
2017
arXiv
pre-print
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and learns to generate a program, and (2) neural program induction, where a neural network generates new outputs directly using a latent program representation. ...
We additionally contrast to rule-based program synthesis, which uses hand-crafted semantics to guide the program generation. ...
The neural network is then used to generate a program in the DSL (for synthesis) or an output string (for induction). ...
arXiv:1703.07469v1
fatcat:kzxilqdssfhjbdhwjjjmncijni
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