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2011 11th International Conference on Embedded computer Systems: architectures, Modeling and Simulation, IC-SAMOS 2011

作者： Jääskeläinen, Pekka O. Salminen, Erno O. De La Lama, Carlos S. Takala, Jarmo H. Martinez, Jose Ignacio Tampere University of Technology Department of Computer Systems Tampere Finland Universidad Rey Juan Carlos Department of Computer Architecture Móstoles Madrid Spain

ISBN: (纸本)9781457708008

Contemporary embedded systems are often designed as Multiprocessor System-on-Chips (MPSoC) which include multiple processors and other peripherals on a single chip. In contrast to general purpose multiprocessors, the design of an embedded MPSoC is usually customized to the requirements of the application domain. The need for fast time to market of new embedded MPSoC designs calls for a rapid design flow of the included customized processors. This paper proposes a Multicore Application-Specific Instruction Set Processor (MCASIP) co-design flow that exploits parallel programming languages as the application description format. The designer can capture the parallelism of the algorithm and exploit specialized instructions using a single high-level programming language. Parallelism of the designed MCASIP architectures can be scaled both at instruction and task levels, enabling easy exploration of the MCASIP design space. This paper describes the design flow and its key technical challenges, and demonstrates its scalability potential. The presented preliminary results show promise for an efficient multiprocessor design methodology. © 2011 IEEE.

关键词： Embedded systems

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On selecting the best pre-processing method for affymetrix genechips

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10th International Work-Conference on Artificial Neural Networks, IWANN 2009

作者： Florido, J.P. Pomares, H. Rojas, I. Calvo, J.C. Urquiza, J.M. Claros, M. Gonzalo Department of Computer Architecture and Computer Technology University of Granada Granada Spain Department of Molecular Biology and Biochemistry University of Málaga Málaga Spain

ISBN: (纸本)3642024777

Affymetrix High Oligonucleotide expression arrays, also known as Affymetrix GeneChips, are widely used for the high-throughput assessment of gene expression of thousands of genes simultaneously. Although disputed by several authors, there are non-biological variations and systematic biases that must be removed as much as possible before an absolute expression level for every gene is assessed. Several pre-processing methods are available in the literature and five common ones (RMA, GCRMA, MAS5, dChip and VSN) and two customized Loess methods are benchmarked in terms of data variability, similarity of data distributions and correlation coefficient among replicated slides in a variety of real examples. Besides, it will be checked how the variant and invariant genes can influence on preprocessing performance. © 2009 Springer Berlin Heidelberg.

关键词： Oligonucleotides

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Improving IPS by network processors

Improving IPS by network processors

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作者： Cascón, Pablo Ortega, Julio Luo, Yan Murray, Eric Díaz, Antonio Rojas, Ignacio Department of Computer Architecture and Technology University of Granada Granada Spain Department of Electrical and Computer Engineering University of Massachusetts Lowell Lowell MA United States

Many present applications usually require high communication throughputs. Multiprocessor nodes and multicore architectures, as well as programmable NICs (Network Interface Cards) provide new opportunities to take advantage of the available multigigabits per second link bandwidths. Nevertheless, to achieve adequate communication performance levels efficient parallel processing of network tasks and interfaces should be considered. In this paper, we leverage network processors as heterogeneous microarchitectures with several cores that implement multithreading and are suited for packet processing, to investigate on the use of parallel processing to accelerate the network interface, and thus the network applications developed above it. More specifically, we have implemented an intrusion prevention system (IPS) with such a network processor. We describe the IPS we have developed that after its offloaded implementation allows faster packet processing of both normal and corrupted traffic. The benefits from placing the IPS close to the network, by using specialized network processors, give many times lower latency and higher bandwidth available to the legitimate traffic. © 2011 Springer Science+Business Media, LLC.

关键词： Bandwidth

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OpenCL-based design methodology for application-specific processors

OpenCL-based design methodology for application-specific pro...

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2010 10th International Conference on Embedded computer Systems: architectures, Modeling and Simulation, IC-SAMOS 2010

作者： Jääskeläinen, Pekka O. De La Lama, Carlos S. Huerta, Pablo Takala, Jarmo H. Tampere University of Technology Department of Computer Systems Tampere Finland Universidad Rey Juan Carlos Department of Computer Architecture Móstoles Madrid Spain

ISBN: (纸本)9781424479382

OpenCL is a programming language standard which enables the programmer to express the application by structuring its computation as kernels. The OpenCL compiler is given the explicit freedom to parallelize the execution of kernel instances at all the levels of parallelism. In comparison to the traditional C programming language which is sequential in nature, OpenCL enables higher utilization of parallelism naturally available in hardware constructs while still having a feasible learning curve for engineers familiar with the C language. This paper describes methodology and compiler techniques involved in applying OpenCL as an input language for a design flow of application-specific processors. At the core of the methodology is a whole program optimizing compiler that links together the host and kernel codes of the input OpenCL program and parallelizes the result on a customized statically scheduled processor. The OpenCL vendor extension mechanism is used to provide clean access to custom operations. The methodology is studied with a design case to verify the scalability of the implementation at the instruction level and to exemplify the use of custom operations. The case shows that the use of OpenCL allows producing scalable application-specific processor designs and makes it possible to gradually reach the performance of hand-tailored RTL designs by exploiting the OpenCL extension mechanism to access custom hardware operations of varying complexity. ©2010 IEEE.

关键词： Very long instruction word architecture

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A comparison of implementations of basic evolutionary algorithm operations in different languages

A comparison of implementations of basic evolutionary algori...

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2016 IEEE Congress on Evolutionary Computation, CEC 2016

作者： Merelo-Guervós, Juan-Julián Blancas-Álvarez, Israel Castillo, Pedro A. Romero, Gustavo Rivas, Victor M. García-Valdez, Mario Hernández-Águila, Amaury Romáin, Mario CITIC Computer Architecture and Technology Department University of Granada Spain Department of Computer Sciences University of Jaén Spain Tijuana Institute of Technology Mexico University of Granada Spain

ISBN: (纸本)9781509006229

It is not usual practice in the evolutionary algorithms area to benchmark different operations in order to choose the best language for a single or multilanguage implementation. Researchers rely instead on common practice or frameworks using mainstream languages. That is why it is usual practice to choose compiled languages (namely Java or C/C++) when implementing evolutionary algorithms, without considering other languages or rejecting them outright on the basis of performance. Since there is a myriad of languages nowadays, we considered it an interesting challenge to measure their speed when performing frequent operations in evolutionary algorithms. In this paper we have tested three basic evolutionary algorithm operations over binary chromosomes: bitflip mutation, crossover and the OneMax fitness function. As a performance measure, the speed for both popular and not so popular computer languages have been used. In general, the results confirm that compiled languages scale and perform better, but also in some cases have a behaviour that is independent of the size of the chromosome. Additionally, results show that other languages, such as Go (compiled) or Python (interpreted) are fast enough for most purposes. Besides, these experiments show which of these operations are, in fact, the best for choosing an implementation language based on its performance. © 2016 IEEE.

关键词： Evolutionary algorithms

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On-line adaptive fuzzy controller: Application of helicopter stabilization of the altitude of a helicopter

On-line adaptive fuzzy controller: Application of helicopter...

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2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, CIMSA 2003

作者： Rojas, I. Pomares, H. Puntonet, C.G. Rojas, F. Rodríguez, M. Valenzuela, O. Department of Architecture and Computer Technology University of Granada Spain Department of Applied Mathematics University of Granada Spain

ISBN: (纸本)0780377834

When confronted with a control problem for a complicated physical process, a control engineer generally follows a relatively systematic design procedure. In this paper we design an on-line controller which is able to modify and adapt the rule base of the system with just only qualitative knowledge about the plant to be controlled. In our example, the system is an helicopter, and the objective is to control the altitude of the helicopter, when the mass of the system change, or other parameters defining the helicopter has been modified. © 2003 IEEE.

关键词： Fuzzy control

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Predicting marital dissolutions using radial basis function neural networks

Predicting marital dissolutions using radial basis function ...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Guillén, A. Tovar, C. Herrera, L.J. Pomares, H. González, J. Guillén, J.F. Rojas, I. Department of Computer Architecture and Technology University of Granada Spain Department of Preventive Medicine University of Granada Spain

ISBN: (纸本)9781424469178

Marital dissolutions, that include divorces and separations, are considered one of the most adverse events that can influence the health, life quality and welfare of the adults and infants implied. There have been several researches in the sanitary and sociological field that show how these processes of breaking a life in common can deteriorate the health in both, the physic and the psychological, aspect. This paper presents the application of machine learning methods to be able to predict if a marriage, that has started a dissolution process, will end up in a friendly agreement or it will be taken to the court. In order to accomplish this task, Radial Basis Function Neural Networks in combination with Mutual Information will be able to determine which elements should be considered to make a prediction. As the experiments will show, the methodology applied is able to classify with a high accuracy and robustness a real data base. The results could be applied in order to prevent some traumas to the people involved in the dissolution in the medical aspect and to perform a better management in the legal aspects. © 2010 IEEE.

关键词： Dissolution

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A Non-Stop Double Buffering Mechanism for Dataflow architecture

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Journal of computer Science & technology 2018年第1期33卷 145-157页

作者： Xu Tan Xiao-Wei Shen Xiao-Chun Ye Da Wang Dong-Rui Fan Lunkai Zhang Wen-Ming Li Zhi-Min Zhang Zhi-Min Tang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214125 China Department of Computer Science The University of Chicago Chicago IL 60637 U.S.A.

Double buffering is an effective mechanism to hide the latency of data transfers between on-chip and off-chip memory. However, in dataflow architecture, the swapping of two buffers during the execution of many tiles decreases the performance because of repetitive filling and draining of the dataflow accelerator. In this work, we propose a non-stop double buffering mechanism for dataflow architecture. The proposed non-stop mechanism assigns tiles to the processing element array without stopping the execution of processing elements through optimizing control logic in dataflow architecture. Moreover, we propose a work-flow program to cooperate with the non-stop double buffering mechanism. After optimizations both on control logic and on work-flow program, the filling and draining of the array needs to be done only once across the execution of all tiles belonging to the same dataflow graph. Experimental results show that the proposed double buffering mechanism for dataftow architecture achieves a 16.2% average efficiency improvement over that without the optimization.

关键词： non-stop double buffering dataflow architecture high-performance computing

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HybridGAD: Identification of AI-Generated Radiology Abstracts Based on a Novel Hybrid Model with Attention Mechanism

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computers, Materials & Continua 2024年第8期80卷 3351-3377页

作者： TugbaÇelikten Aytug Onan Department of Software Engineering Faculty of TechnologyManisa Celal Bayar UniversityManisa45140Turkey Department of Computer Engineering Faculty of Engineering and ArchitectureIzmir KatipÇelebi UniversityIzmir35620Turkey

Class Title:Radiological imaging method a comprehensive overview *** GPT paper provides an overview of the different forms of radiological imaging and the potential diagnosis capabilities they offer as well as recent advances in the *** and Methods:This paper provides an overview of conventional radiography digital radiography panoramic radiography computed tomography and cone-beam computed *** recent advances in radiological imaging are discussed such as imaging diagnosis and modern computer-aided diagnosis ***:This paper details the differences between the imaging techniques the benefits of each and the current advances in the field to aid in the diagnosis of medical ***:Radiological imaging is an extremely important tool in modern medicine to assist in medical *** work provides an overview of the types of imaging techniques used the recent advances made and their potential applications.

关键词： Generative artificial intelligence AI-generated text detection attention mechanism hybrid model for text classification

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Boosting the Restoring Performance of Deduplication Data by Classifying Backup Metadata

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ACM/IMS Transactions on Data Science 2021年第2期2卷 1–16页

作者： Yang, Ru Deng, Yuhui Zhou, Yi Huang, Ping Department of Computer Science Jinan University Guangzhou510632 China Department of Computer Science Jinan University China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China TSYS School of Computer Science Columbus State University Doimukh Georgia College of Engineering Temple University United States

Restoring data is the main purpose of data backup in storage systems. The fragmentation issue, caused by physically scattering logically continuous data across a variety of disk locations, poses a negative impact on the restoring performance of a deduplication system. Rewriting algorithms are used to alleviate the fragmentation problem by improving the restoring speed of a deduplication system. However, rewriting methods give birth to a big sacrifice in terms of deduplication ratio, leading to a huge storage space waste. Furthermore, traditional backup approaches treat file metadata and chunk metadata as the same, which causes frequent on-disk metadata accesses. In this article, we start by analyzing storage characteristics of backup metadata. An intriguing finding shows that with 10 million files, the file metadata merely takes up approximately 340 MB. Motivated by this finding, we propose a Classified-Metadata based Restoring method (CMR) that classifies backup metadata into file metadata and chunk metadata. Because the file metadata merely takes up a meager amount of space, CMR maintains all file metadata in memory, whereas chunk metadata are aggressively prefetched to memory in a greedy manner. A deduplication system with CMR in place exhibits three salient features: (i) It avoids rewriting algorithms' additional overhead by reducing the number of disk reads in a restoring process, (ii) it increases the restoring throughput without sacrificing the deduplication ratio, and (iii) it thoroughly leverages the hardware resources to boost the restoring performance. To quantitatively evaluate the performance of CMR, we compare our CMR against two state-of-the-art approaches, namely, a history-aware rewriting method (HAR) and a context-based rewriting scheme (CAP). The experimental results show that compared to HAR and CAP, CMR reduces the restoring time by 27.2% and 29.3%, respectively. Moreover, the deduplication ratio is improved by 1.91% and 4.36%, respectively. © 2

关键词： Metadata

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