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ECONOMIC FEASIBILITY OF CORN STOVER TORREFACTION FOR distributed processing SYSTEMS 10

引用

10th ASME international conference on Energy Sustainability

作者： Almberg, Evan R. Twedt, Michael P. Gerometta, Christina Gent, Stephen P. South Dakota State Univ Dept Mech Engn Brookings SD 57007 USA

ISBN: (纸本)9780791850220

This study investigated the economic feasibility of distributed or decentralized torrefaction bio-refining using corn stover feedstock to generate value added products. distributed bio-refining systems would be able to operate on private farm and commercial scales, eliminating the need for large capital investment for large processing facilities and decreasing logistical concerns for harvesting and marketing corn stover. A techno-economic model was developed to analyze the economics of harvesting techniques, logistics, processing requirements, and end product utilization. With the model, a base case analysis was established to analyze average values and to create a basis in which to compare a variety of economic scenarios. A sensitivity analysis was also completed to investigate outcomes based on variability of crop yields and product price, as well as costs associated with harvesting stover, input for operating the torrefaction system, and capital costs of equipment. Results of the analyses were quantified with respect to input costs required to generate torrefied products, potential profit of processed products, and the payback period of the production and conversion system. Preliminary results indicated that processing corn stover feedstock within a distribution torrefaction bio-refining system had high potential, in terms of economic feasibility, over a wide range of scenarios. Results indicated that payback periods as low as five years were possible under a wide variety of applications and operating costs. In addition to operating economically, it was also shown that end products could have increasing profit potential as a value added product.

关键词： Feedstock Logistics Performance Sensitivity analysis Economics

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Performance prediction of distributed RAID storage system

Performance prediction of distributed RAID storage system

引用

1st international conference on Information Science and Engineering, ICISE2009

作者： Liu, Jun Cui, Baojiang Dept. of Information Science and Technology Tianjin University of Finance and Economics Tianjin 300222 China Information Security Centre Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9780769538877

Since information is growing explosively, the requirements for high performance storage systems are critical in practical applications. The research on performance prediction has become increasingly important in the area of distributed storage systems. This paper presents the architecture of iSCSI-based distributed RAID storage system. At the basis of analyzing the system data flow, the stochastic Petri net model of the system is constructed. And then an analytical method for computing system I/O response time is proposed utilizing equivalent conversion of serial or parallel transitions. Theoretical analyses show that bandwidth is the bottleneck of distributed RAID storage system in low-speed network;cache hit rate and CPU processing power at central server are the main factors affecting the I/O response time in high-speed network. The performance of distributed RAID system can be improved through increasing the network bandwidth and the performance of the centre node. ©2009 IEEE.

关键词： HPSS

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Programmable Systems-on-Chip for Information processing 8

Programmable Systems-on-Chip for Information Processing

引用

8th IEEE international conference on Application of Information and Communication Technologies (AICT)

作者： Sklyarov, Valery Skliarova, Iouilia Univ Aveiro Dept Elect Telecommun & Informat IEETA Aveiro Portugal

ISBN: (纸本)9781479941209

Information processing is a very broad area in which many problems are computationally intensive and thus, they require parallelization and acceleration based on new technologies. The Xilinx Zynq-7000 all programmable system-on-chip can be seen as a very adequate platform permitting application-specific software and problem-targeted hardware to be coupled on a single configurable microchip. The tutorial is dedicated to multi-level software/hardware co-design techniques and system architectures that combine general-purpose computers, multi-core application-specific processing, and accelerators in reconfigurable hardware with emphasis on broad parallelism. Four projects from the scope of data processing, application informatics, parallel algorithms (mapped to hardware), and combinatorial search are briefly characterized and will be demonstrated in fully implemented and ready to test projects that include software and reconfigurable hardware linked with on-chip high-performance interfaces. Particular design examples, potential practical applications, experiments and comparisons will be demonstrated.

关键词： Information processing high-performance computing parallelism programmable systems-on-chip

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Hybrid Evaluation for distributed Iterative Matrix Computation 21

Hybrid Evaluation for Distributed Iterative Matrix Computati...

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ACM SIGMOD international conference on Management of Data (SIGMOD)

作者： Chen, Zihao Xu, Chen Soto, Juan Markl, Volker Qian, Weining Zhou, Aoying East China Normal Univ DaSE Shanghai Engn Res Ctr Big Data Management Shanghai Peoples R China Tech Univ Berlin DIMA Berlin Germany

ISBN: (纸本)9781450383431

distributed matrix computation is common in large-scale data processing and machine learning applications. Existing systems that support distributed matrix computation already explore incremental evaluation for iterative-convergent algorithms. However, they are oblivious to the fact that non-zero increments are scattered in different blocks in a distributed environment. Additionally, we observe that incremental evaluation does not always outperform full evaluation. To address these issues, we propose matrix reorganization to optimize the physical layout upon the state-of-art optimized partition schemes, and thereby accelerate the incremental evaluation. More importantly, we propose a hybrid evaluation to efficiently interleave full and incremental evaluation during the iterative process. In particular, it employs a cost model to compare the overhead costs of two types of evaluations and a selective comparison mechanism to reduce the overhead incurred by comparison itself. To demonstrate the efficiency of our techniques, we implement HyMAC, a hybrid matrix computation system based on SystemML. Our experiments show that HyMAC reduces execution time on large datasets by 23% on average in comparison to the state-of-art optimization technique and consequently outperforms SystemML, ScaLAPACK, and SciDB by an order of magnitude.

关键词： Matrix Computation Hybrid Evaluation Iteration

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Research on Domain Knowledge Representation techniques 26

Research on Domain Knowledge Representation Techniques

引用

26th ACIS international Winter conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing, SNPD-Winter 2023

作者： Ji, Wei Cao, Qinghong Shi, Jin Zhu, Enyao Xu, Tianyi He, Hao School of Information Management Nanjing University Nanjing China Shanghai Stock Exchange System Operation Department Shanghai China

ISBN: (纸本)9798350345865

Knowledge is the fruit of human's knowledge of the objective world in practice and the crystallization of wisdom. A knowledge base makes a knowledge-based system (or expert system) intelligent by structuring and sorting out knowledge in a specific field and storing, organizing, managing and using it in a computer using a scientific knowledge representation. Based on the research of knowledge base construction in securities industry, this paper first summarizes and explains several representative knowledge representation models. Then, it summarizes the application scenarios of common knowledge representation techniques in the fields of product design, robot control, and natural language processing. In addition, based on the investigation of the knowledge characteristics of the securities industry, a knowledge representation model of the securities industry based on 5W1lH is proposed to organize and manage the multimodal information resources and provide high-value information for user needs, while the knowledge representation technology of the mechanical industry based on hypergraph embedding is examined and the specific processes and application scenarios are summarized. © 2023 IEEE.

关键词： Product design

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Reconfigurable processor array with routing LSIs and general purpose DSPs

Reconfigurable processor array with routing LSIs and general...

引用

Proceedings of the international conference on Application Specific Array Processors

作者： Levison, Jacob Kuroda, Ichiro Nishitani, Takao NEC Corp Kawasaki Japan

ISBN: (纸本)0818629673

A building block for a scalable signal processor array is developed with a general-purpose DSP and a message routing LSI. Each DSP can be connected by multiple routing LSIs forming a point-to-point message-passing network with data packet communication. Low network latency is obtained by cut-through routing technique with sufficient communication bandwidth. The employment of an on-chip routing table allows regular as well as irregular topologies with complex routing techniques such as broad/multi-casting and dynamic routing. The combination of DSPs (μPD77240), a flexible message-passing network and an optional application-specific I/O interface makes the processor array suitable for a wide range of high speed signal processing applications such as adaptive array processing and 3-D vision processing.

关键词： parallel processing systems

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Flexible application-aware approximation for modern distributed graph processing frameworks 5

Flexible application-aware approximation for modern distribu...

引用

5th ACM SIGMOD Joint international Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2022, co-located with ACM SIGMOD conference

作者： Schramm, Michael Bhowmik, Sukanya Rothermel, Kurt Institute for Parallel and Distributed Systems University of Stuttgart Germany

ISBN: (纸本)9781450393843

The interest in the ability of processing data that has an underlying graph structure has grown in the recent past. This has led to the development of many distributed graph processing systems. However, due to rapidly growing amount of data, e.g., web graphs and social graphs, even such distributed graph processing frameworks end up requiring several minutes or even several hours to execute popular graph algorithms. This leads to the question: do we always need to know the exact answer for a large graph? The aforementioned modern distributed graph processing frameworks execute graph algorithms by exchanging messages between vertices. This paper introduces a novel message-dropping approach for approximation in these frameworks. As dropping messages would result in degradation of quality of result, our objective is to drop messages that have least adverse impact on quality. More specifically, we propose an application-aware approach that dynamically drops messages at runtime. We evaluate the effects of our approach for the PageRank algorithm on several representative real-world web graphs and compare its performance to that of existing approximation techniques for modern frameworks.. © 2022 ACM.

关键词： Drops

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A semantic-based meteorology grid service registry, discovery and composition framework

A semantic-based meteorology grid service registry, discover...

引用

2006 2nd international conference on Semantics Knowledge and Grid, SKG

作者： Kaijun, Ren Nong, Xiao Junqiang, Song Weimin, Zhang Tao, Chen National Laboratory for Parallel and Distributed Processing NUDT Changsha Hunan 410073 China College of Science National University of Defense Technology Changsha Hunan 410073 China

ISBN: (纸本)0769532055

Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed. © 2006 IEEE.

关键词： Grid computing

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PARSIR: a Package for Effective parallel Discrete Event Simulation on Multi-processor Machines 28

PARSIR: a Package for Effective Parallel Discrete Event Simu...

引用

28th IEEE/ACM international Symposium on distributed Simulation and Real Time applications, DS-RT 2024

作者： Quaglia, Francesco DICII - University of Rome Tor Vergata Italy

ISBN: (纸本)9798331527211

In this article we present PARSIR (parallel SImulation Runner), a package that enables the effective exploitation of shared-memory multi-processor machines for running discrete event simulation models. PARSIR is a compile/run-time environment for discrete event simulation models developed with the C programming language. The architecture of PARSIR has been designed in order to keep low the amount of CPU-cycles required for running models. This is achieved via the combination of a set of techniques like: 1) causally consistent batch-processing of simulation events at an individual simulation object for caching effectiveness;2) high likelihood of disjoint access parallelism;3) the favoring of memory accesses on local NUMA (Non-Uniform-Memory-Access) nodes in the architecture, while still enabling well balanced workload distribution via work-stealing from remote nodes;4) the use of RMW (Read-Modify-Write) machine instructions for fast access to simulation engine data required by the worker threads for managing the concurrent simulation objects and distributing the workload. Furthermore, any architectural solution embedded in the PARSIR engine is fully transparent to the application level code implementing the simulation model. We also provide experimental results showing the effectiveness of PARSIR when running the reference PHOLD benchmark on a NUMA shared-memory multi-processor machine equipped with 40 CPUs. © 2024 IEEE.

关键词： Batch data processing

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Ranking on Heterogeneous Manifold for Multimodal Information Retrieval 21

Ranking on Heterogeneous Manifold for Multimodal Information...

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21st IEEE international Symposium on parallel and distributed processing with applications, 13th IEEE international conference on Big Data and Cloud Computing, 16th IEEE international conference on Social Computing and Networking and 13th international conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Jin, Zhenkun Wan, Xingshi Nie, Xin Zhou, Xinlei Yi, Yuanyuan Zhou, Gefei Wuhan Business University Wuhan Research Institute of Posts and Telecommunications Wuhan China Wuhan Research Institute of Posts and Telecommunications Wuhan China Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Wuhan China Huazhong University of Science and Technology School of Journalism and Information Communication Wuhan China Huazhong University of Science and Technology School of Computer Science & Technology Wuhan China

ISBN: (纸本)9798350329223

In light of recent advancements in Internet of Multimedia Things (IoMT) and 5G technology, both the variety and quantity of data have been rapidly increasing. Consequently, handling zero-shot cross-modal retrieval (ZSCMR) of unlabeled multi-modal data has emerged as a prominent research topic. Early models utilized generative adversarial networks and class embeddings to assist in building a common feature space. However, this approach resulted in a loss of reliability in the feature distributions of individual modalities. In this paper, we propose a method called Ranking on Heterogeneous Manifold (RHM) to address the aforementioned issue. Our model comprises three feature extractors, each dedicated to extracting features from text, images and multimodal data. Subsequently, the relationship structures derived from these feature extractors are employed to construct a heterogeneous manifold. A diffusion process is then conducted on this heterogeneous manifold, ultimately yielding the final ranking scores. Comprehensive experiments demonstrate that the proposed modal has the capability to acquire more effective knowledge representation, thus enhancing the effectiveness of ZSCMR. © 2023 IEEE.

关键词： Knowledge representation

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