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Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5479-x
Abstract: Iterative compilation based on machine learning can automatically predict the best optimization for the new programs. However, the efficient prediction models often require repetitive training, which leads to a higher training time overheads, and greatly…
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Keywords:
iterative compilation;
prediction model;
optimization;
compiler ... See more keywords
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Published in 2019 at "Journal of Functional Programming"
DOI: 10.1017/s0956796819000054
Abstract: Abstract We present the design and implementation of a SQL query processor that outperforms existing database systems and is written in just about 500 lines of Scala code – a convincing case study that high-level…
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Keywords:
compiler;
programming;
sql compiler;
500 lines ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069227
Abstract: Different compilers and optimization levels can be used to compile the source code. Revealed in reverse from the produced binaries, these compiler details facilitate essential binary analysis tasks, such as malware analysis and software forensics.…
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Keywords:
compiler;
accuracy;
neural modeling;
accuracy identifying ... See more keywords
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3031550
Abstract: Serverless computing like Function-as-a-Service (FaaS) is attractive for IoT service providers, liberating the providers from server maintenance. Since a data processing function is executed on the cloud instead of a dedicated server in the FaaS…
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Keywords:
compiler;
semantic aware;
compiler assisted;
serverless computing ... See more keywords
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Published in 2018 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2018.2857721
Abstract: Irregular applications such as big graph analysis, material simulations, molecular dynamics simulations, and finite element analysis have performance problems due to their use of sparse data structures. Inspector–executor strategies improve sparse computation performance through parallelization…
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Keywords:
framework;
inspector executor;
executor;
executor transformations ... See more keywords
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Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2019.2930577
Abstract: The convolutional neural network (CNN) has become a state-of-the-art method for several artificial intelligence domains in recent years. The increasingly complex CNN models are both computation-bound and I/O-bound. Field-programmable gate array-based accelerators driven by custom…
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Keywords:
compiler;
state art;
330 mhz;
heterogeneous optimizations ... See more keywords
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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3101464
Abstract: Memristive devices promise an alternative approach toward non-Von Neumann architectures, where specific computational tasks are performed within the memory devices. In the machine learning (ML) domain, crossbar arrays of resistive devices have shown great promise…
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Keywords:
machine learning;
compiler;
memory;
automated end ... See more keywords
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Published in 2021 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2019.2923215
Abstract: In cyber-physical additive manufacturing systems, side-channel attacks have been used to reconstruct the G/M-code (which are instructions given to a manufacturing system) of 3D objects being produced. This method is effective for stealing intellectual property…
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Keywords:
compiler;
leaking altering;
tool spies;
spies leaking ... See more keywords
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Published in 2018 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2018.8804260
Abstract: Teaching compiler construction principles in one-semester introductory courses is a very important and complex topic in the computer sciences curriculum. Most of the books are devoted to developing toy, mini or classroom language, but it…
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Keywords:
classroom;
bcc suite;
compiler construction;
compiler ... See more keywords
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Published in 2017 at "Communications of the ACM"
DOI: 10.1145/3139461
Abstract: Because of the high cost of communication between processors, compilers that parallelize loops automatically have been forced to skip a large class of loops that are both critical to performance and rich in latent parallelism.…
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Keywords:
automatically accelerating;
accelerating non;
non numerical;
numerical programs ... See more keywords
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Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0282265
Abstract: The recent dramatic progress in machine learning is partially attributed to the availability of high-performant computers and development tools. The accelerated linear algebra (XLA) compiler is one such tool that automatically optimises array operations (mostly…
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Keywords:
performance;
numerical models;
accelerated linear;
compiler ... See more keywords