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Analysis of multithreading in Java for symbolic computation on multicore processors

2014 National Conference on Emerging Trends in computing and Communication, ETCC 2014

作者： Murarka, Pawan Raj Reza, Motahar Panda, Rama Ranjan High Performance Computing Lab. School of Computer Science and Engineering National Institute of Science and Technology Berhampur Odisha India

ISBN: (纸本)9788132218166

In this paper we have described the impact on efficiency of algebraic computation due to multi core systems using java as the programming language. Hence we had taken two machines with different specification having variants of Windows in them and made a comparative analysis taking five different input samples. During this process we came across several aspects on which the computation performance depends upon. In succeeding discussion we have given a vivid description of how these factors show variations when they are blended in different quantities thereby justifying the need of a robust algorithm and a high performance system for efficient computation of mathematical expressions with varying complexities. © 2014 Springer.

关键词： Computational efficiency

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Using unified parallel C to parallelize the FDTD method of computational electrodynamics

Using unified parallel C to parallelize the FDTD method of c...

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2009 IEEE 13th International Multitopic Conference, INMIC 2009

作者： Hussain, A. Shafi, A. Raza, J. Center for High Performance Scientific Computing Department of Computing NUST School of Electrical Engineering and Computer Science Pakistan

ISBN: (纸本)9781424448722

This paper discusses a parallel implementation of the Finite-Difference Time-Domain (FDTD) method using Unified Parallel C (UPC). UPC is an extension of ANSI C - primarily designed for programming distributed memory parallel hardware. The FDTD method is a powerful and widely used numerical technique in computational electromagnetics community. It is a resource - CPU cycles and memory - hungry technique. Consequently, a parallel implementation is highly desirable to decrease time-to-solution and be able to study larger problems with limited resources. To the best of our knowledge, this is the first attempt to exploit UPC to parallelize the FDTD method. We evaluate the performance of our implementation on a cluster of four SunFire v890 compute nodes-each equipped with 16 processing cores - and report impressive speedups. ©2009 IEEE.

关键词： Finite difference time domain method

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Cloud computing: An emerging technology+

Cloud computing: An emerging technology+

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2010 International Conference on computer Design and Applications, ICCDA 2010

作者： Xu, Dong School of Computer Engineering and Science Shanghai University High Performance Computing Center Shanghai China

ISBN: (纸本)9781424471638

Cloud computing is a novel buzzword in information technology domain. It's an emerging technology and it has been give much attention by both research community and industries. However, there are various definitions for Cloud computing and now the infrastructures of most Clouds are invisible to the researchers. We illustrate the Cloud computing paradigm in a variety of aspects and some Cloud computing Platforms and their architectural trade-offs are depicted in this paper. It is expected to contribute better comprehension of the Cloud concept so as to some more efficient Clouds would be designed, and we believe that the Clouds from early prototypes to production platforms are accelerated. © 2010 IEEE.

关键词： Cloud computing

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Deep textual semantics acquisition based on the activation of domain knowledge

Deep textual semantics acquisition based on the activation o...

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10th IEEE International Conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2011

作者： Luo, Xiangfeng Lu, Lei Liu, Weidong Zhang, Jun Xu, Lingyu School of Computer Engineering and Science High Performance Computing Center Shanghai University Shanghai 200072 China

ISBN: (纸本)9781457716966

The acquisition of deep textual semantics is a key issue on the process of text understanding which improves the performances of e-learning, web search and web services significantly. Though many methods have been developed to acquire textual semantics, the acquisition of deep textual semantics is still a challenge issue. Herein, the acquisition method of deep textual semantics is developed to enhance the capability of text understanding of machine, including two parts:1) how to obtain and organize the domain knowledge extracted from domain text set;2) how to stimulate the domain knowledge for obtaining the deep textual semantics. The activation process involves two cognitive mechanisms;one is the Landscape model and the other is human memory system model. The former model is a human reading model. The later model describes the memory change in the text reading process. Generalized semantic field is proposed to store the domain knowledge as the form of Long Time Memory (LTM). Specialized semantic field, which is acquired by the interaction between the text fragment and the domain knowledge, is introduced to describe the change process of textual semantics. By their mutual actions, we can get the deep textual semantics which enhances the capability of text understanding of machine;therefore, the machine can understand the text more precisely and correctly than those methods which only obtain surface textual semantics. © 2011 IEEE.

关键词： Semantics

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Building hierarchical keyword level association link networks for web events semantic analysis

Building hierarchical keyword level association link network...

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9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and computing, PICom 2011, 9th Int. Symp. on Embedded computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC

作者： Xuan, Junyu Luo, Xiangfeng Zhang, Shunxiang Xu, Zheng Liu, Huimin Ye, Feiyue School of Computer Engineering and Science High Performance Computing Center Shanghai University 200072 Shanghai China

ISBN: (纸本)9780769546124

With the increase of information scale of web events on the time, it is extremely difficult and challenging to grasp the semantics of web events artificially, because of the limitation of the time and energy of human beings. Herein, we propose a method to map the web event to keyword level association link network (KALN) for deep analysis of the semantics of web events, such as the evolution semantics of web events. Firstly, the original KALN is constructed at a given time by traditional data mining technologies. Then, the hierarchical KALN, consisted of Theme Layer Network, Backbone Layer Network and Tidbit Layer Network, is built based on the original KALN by information entropy to identify the different semantic levels of the web event, including stable semantics, sub-stable semantics and unstable semantics. With the semantic analysis of hierarchical KALN, human could easily gain a thorough understanding of the web event. Finally, experiments show that our method can effectively capture the different level semantics of web events. © 2011 IEEE.

关键词： Semantics

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Open-source Hardware: Different Approaches to Softcore implementation 6

Open-source Hardware: Different Approaches to Softcore imple...

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6th IEEE International Conference on Distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022

作者： Hiremath, Sneha Chickerur, Satyadhyan Dandin, Joel Patil, Mihir Muddinkoppa, Bhoomi Adakoli, Shreerama Kle Technological University Centre for High Performance Computing School of Computer Science and Engineering Hubballi India

ISBN: (数字)9781665487160

ISBN: (纸本)9781665487160

Since the last few years, open-source hardware is preferred in the landscape of hardware development. Originally proprietary hardware was only developed by big multinational companies like AMD, Intel, and NVIDIA, which were expensive and general-purpose. Due to this, people started developing their own hardware. Open-source hardware has support from the opensource community, is developed at low cost, and has presently got a lot of support from developers and enthusiasts. Softcore is a microprocessor that can be implemented on FPGA using logic synthesis and can be fabricated as open-source hardware. This paper focuses on how various approaches to softcore implementation can be done on FPGA which would involve logic cells, CLBs, LUTs, RAM, etc. The soft cores which are built upon the RISC-V ISA, namely VexRISCV and RISC-V BOOM, as well as the softcores adhering to the POWER ISA, such as Microwatt and LibreSoC, are the main topics of discussion. These softcores are installed and simulated. To test the working of the ISA, some standard test cases and test suites are executed. Hardware implementation is done by porting the softcore onto a Xilinx Nexys A7-100T FPGA board. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Reasoning on formalizing WS-CDL mobility using process algebra

Reasoning on formalizing WS-CDL mobility using process algeb...

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2010 IEEE Asia-Pacific Services computing Conference, APSCC 2010

作者： Nduwimfura, Philbert Xu, Dong Miao, HuaiKou Lei, Zhou Chen, Bo School of Computer Engineering and Science High Performance Computing Center Shanghai University Shanghai 200072 China

ISBN: (纸本)9780769543055

With a good understanding of mobility mechanisms of WS-CDL, we can easily design applications that acquire, during the execution, all the information they need to invoke services. One of the means to ensure good interoperability between Web services is to formalize their mobility characteristics. Process algebras, such as π-calculus can be used to formalize Web Services characteristics and ensure that they satisfy some conditions required in SOA. The notion of mobility in process calculi refers to the fact that a process is able to exchange names as values. The core of π-calculus is based on interaction, using channel names as data, and the ability to generate fresh and unique names. This paper provides the basis for reasoning on formalizing mobility characteristics of Web services choreography using the process algebra π-calculus which is, according to Robin Milner, a model of concurrent computation based on the notion of naming. Formalizing mobility helps us to understand the nature of mobility, to reason about the behavior of mobile systems, and to develop model checking tools that are used to verify system correctness. © 2010 IEEE.

关键词： Web services

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Model interactive search between user and associated link networks

Model interactive search between user and associated link ne...

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作者： Zhu, Baiquan Luo, Xiangfeng Liu, Yang He, Xiang Xu, Lingyu School of Computer Engineering and Science High Performance Computing Center Shanghai University 200072 Shanghai China

ISBN: (纸本)9780769546124

Web search is a key information retrieval method for human beings in current society, both in the fields of academic and commercial activities. Due to "one-size-fits-all" approach limit to search results obtainment, there are still challenges to give personalized web service with high precision in traditional web search process. Herein, a new framework is proposed to advance traditional search process into a new paradigm, i.e. interactive search. First, a cognitive model of interaction process about one search step is developed by the imitation of human search behaviors. Then based on the theory of interactive computing, an interactive search model is introduced to formalize successive search sessions which include several search steps. Third, based on human's cognitive mechanism such as the spreading activation model and user memory theory, a user model is designed to capture user's search activities which can aid the interactive search process effectively. Last, by the help of Associated Link Network, an information gradient based rank algorithm is proposed aiming at maximizing the quantity of web information supply. The efficiency of our proposed interactive search service is verified by the experimental results. © 2011 IEEE.

关键词： Web services

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Activation Control of Vision Models for Sustainable AI Systems

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第7期5卷 3470-3481页

作者： Burton-Barr, Jonathan Fernando, Basura Rajan, Deepu Institute of High-Performance Computing The Centre for Frontier AI Research Agency for Science Technology and Research 138632 Singapore Nanyang Technological University Nanyang School of Computer Science and Engineering 639798 Singapore

As artificial intelligence (AI) systems become more complex and widespread, they require significant computational power, increasing energy consumption. Addressing this challenge is essential for ensuring the long-term sustainability of AI technology. AI-on-AI control refers to a system with a set of AI functions controlled by an upper-level AI model. Previous work in AI-on-AI control focuses on boosting accuracy or expanding system capability by increasing overall system cost. Alternatively, we focus on applying AI-on-AI control to decrease system cost and increase the sustainability and viability of a system with multiple AI functions. Our supervised image classification evaluative controller (SICEC) is a cost-reduction oriented AI-on-AI controller that learns when vision models within an AI system should be activated based on input features. The function controller (FC) preprocesses an input and activates relevant functions, functions being distinct units of AI functionality within the system. Some functions have a set of same functional models (SFMs). These models take the same input and produce the same output but have architectural differences. We introduce a same functional controller to select a SFM using the FC's decision confidence. Results are promising, with a decrease of up to 48.9% in inference time, 67.8% in floating point operations (FLOPs), and 66.4% in energy usage. With SICEC showing significant reductions in inference time and energy cost, our work contributes to limited resource computing and sustainable AI technology. © 2020 IEEE.

关键词： Energy utilization

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Parallel architecture and optimization for discrete-event simulation of spike neural networks

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science China(Technological sciences) 2013年第2期56卷 509-517页

作者： TANG YuHua ZHANG BaiDa WU JunJie HU TianJiang ZHOU Jing LIU FuDong Department of Computer Science and Technology School of ComputerNational University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology College of Mechatronic Engineering and Automation National University of Defense Technology

Spike neural networks are inspired by animal brains,and outperform traditional neural networks on complicated ***,spike neural networks are usually used on a large scale,and they cannot be computed on commercial,off-the-shelf computers.A parallel architecture is proposed and developed for discrete-event simulations of spike neural ***,mechanisms for both parallelism degree estimation and dynamic load balance are emphasized with theoretical and computational *** results show the effectiveness of the proposed parallelized spike neural network system and its corresponding support components.

关键词： spike neural network discrete event simulation intelligent parallelization framework

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