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System for database reports generating

System for database reports generating

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international Forum on Strategic Technology, IFOST

作者： P.F. Tarassenko M.S. Bukharova Department of Applied Mathematics and Cybernetics Tomsk State University Russia Sibgeoinf ormatics Limited Tomsk Russia

Flexible report generation is a typical problem for database applications in business, management and administration. The subject of the paper is the new system developed at Tomsk State University and Sibgeoinformatics Ltd. The system is targeted to small enterprises and offices. It can produce sophisticated ready-to-use reports, which could be created and modified easily without the necessity for the user to make routine work and learn much about SQL queries. As a result, the development of a report is focused on describing tables with columns/rows and sub-columns/sub-rows, rules of data selection and summarising for the report, particularly, table or column/row, and formatting the report in the destination document. The distinctive features of the system are: an XML-based report definition language; report interpreter, independent of data source and destination; adjustable data interface tested with popular data sources (MS Excel, Oracle, MS Access) and report destinations (MS Excel, MS Word); WYSIWYG report description editor (under construction); ability to describe multi-dimensional tables in the report; ability to create tables with nested columns and rows; a wide set of traditional data selectors, statistics, functions, and expressions; usual set of sorting and formatting features; performing optimisation of SQL code by minimisation of selection conditions and splitting or joining SQL queries.

关键词： databases Geology Data warehouses distributed information systems Biomedical engineering Data engineering Humans Aerospace engineering Laboratories Seminars

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Coherence communication prediction in shared-memory multiprocessors

Coherence communication prediction in shared-memory multipro...

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IEEE symposium on High-Performance Computer Architecture

作者： S. Kaxiras C. Young Bell Laboratories Lucent Technologies Inc. USA

Sharing patterns in shared-memory multiprocessors are the key to performance: uniprocessor latency-tolerating techniques such as out-of-order execution and non-blocking caches have proved unable to completely hide the latency of remote memory access. Recently proposed prediction mechanisms accelerate coherence protocols by guessing where data will be used next and forwarding them to potential users before they are requested. Prior work in such shared-memory prediction schemes resulted in address-based and instruction-based predictors. Our work innovates in three areas. First, we present a taxonomy of prediction schemes that includes all previously-proposed prediction schemes in a uniform space. Second, we show how statistical techniques from epidemiological screening and polygraph testing can be applied to better measure the effectiveness of sharing prediction schemes; earlier work had reported only the ratio of incorrect predictions to correct predictions but neglected the ratio of correct predictions to actual sharing. Third, we provide simulation results of the accuracy of a practical subset of the space of schemes in our taxonomy, then analyze which components of each scheme contribute the most to prediction accuracy. Through this process, we discovered prediction schemes more accurate than those previously proposed.

关键词： Delay Access protocols Taxonomy Logic testing Performance gain parallel machines distributed computing Time sharing computer systems Impedance

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A 3-phase series active power filter with compensate voltage drop and voltage unbalance

A 3-phase series active power filter with compensate voltage...

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IEEE international symposium on Industrial Electronics (ISIE)

作者： Seok-Woo Han Seung-Yo Lee Gyu-Ha Choe Department of Electrical Engineering Konkuk University Seoul South Korea

ISBN: (纸本)0780370902

In this paper, a three-phase series active power filter to compensate harmonic current, voltage drop and unbalanced voltage in power distribution systems is studied. The main circuit of the APF consists of a voltage source inverter with space vector modulation and a high pass filter connected in parallel to the power system. The APF is connected in series to the transmission line through a single-phase transformer with a turns ratio of 1:1. Here, the load is a six-pulse thyristor rectifier. The phase angle detected in order to generate the reference voltage at the load terminal is synchronized with the positive sequence component of the unbalanced source by using symmetrical component transformation. The proposed system has harmonic isolation between the source and load, voltage regulation and unbalance compensation. To verify the validity of the proposed compensating system, both computer simulations and experiments are carried out.

关键词： Active filters Voltage Power harmonic filters Power system harmonics Power distribution Inverters Power transmission lines distributed parameter circuits Phase transformers Thyristors

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A Local Area System Network RHiNET-1: A Network for High Performance parallel Computing 00

A Local Area System Network RHiNET-1: A Network for High Per...

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proceedings of the 9th IEEE international symposium on High Performance distributed Computing

作者： Hiroaki Nishi Koji Tasho Junji Yamamoto Tomohiro Kudoh Hideharu Amano

ISBN: (纸本)9780769507835

Network-based parallel processing using commodity components, such as personal computers, has received attention as an important parallel-computing environment. In most of today's offices and laboratories, there are tens of personal computers and workstations, which are not always in use. If the processing power of such idle computers could be combined, the resulting processing power might be comparable to that of a ***, most high performance cluster systems consisting of personal computers or workstations use a system area network (or a server area network: SAN) such as Myrinet [1] as their interconnection. Since they are designed to connect dedicated computers in a small place, both the link length and topology are restricted. On the other hand, high-speed LANs with more than 1 Gbps link bandwidth are becoming available. LANs provide relatively flexible topology choices and longer length of links. Nevertheless, the communication latency of most of today's commodity LANs tends to be larger than that of SANs because of their store-and-forward routing strategy. Moreover, today's LANs support the IP protocol, consisting of many layers, which introduce overhead. LASN (Local Area System Network) is a new class of network which has the advantages of both SANs and LANs.

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Design and development of high performance, scalable content based publish subscribe system: doctoral symposium 16

Design and development of high performance, scalable content...

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proceedings of the 10th ACM international Conference on distributed and Event-based systems

作者： M. A. Shah D. B. Kulkarni Walchand College of Engineering Vishrambag Sangli

ISBN: (纸本)9781450340212

In many application scenarios, content based pub/sub systems are required to provide stringent service guarantees such as reliable delivery, high performance in terms of throughput and low latency for event notification to interested subscribers. Matching algorithm play a critical role in content based pub/sub systems. The aim of our work is design and development of parallel, scalable and high performance content based publish subscribe system. We parallelize event processing using thread based and multi GPU approaches. We achieved low latency and high throughput when pub/sub is deployed on Apache Storm, a real time event processing system. Throughput gain and reduction in matching time is nearly 48% and 40% respectively in multi GPGPU approach of event processing compared to earlier work mentioned in [1].

关键词： throughput matching algorithm matching time multiple GPGPU real time event processing system data decomposition

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Analyzing simulation model profile data to assist synthetic model generation 19

Analyzing simulation model profile data to assist synthetic ...

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proceedings of the 23rd IEEE/ACM international symposium on distributed Simulation and Real Time Applications

作者： Sean Kane Sounak Gupta Philip A. Wilsey University of Cincinnati eBay Inc.

ISBN: (纸本)9781728129235

Synthetic workloads are commonly used to exercise simulation tools for performance, performance tuning, and scalability studies. Sometimes these workloads are simple streams of test data following various distributions and in other cases these workloads are generated by more complex, configurable systems. An example of the former is a stream of input events at different arrival rates that might be used to test the performance of an event queue data structure. An example of the latter is the PHOLD simulation model that is often used to contrast the performance implications of different design solutions in a parallel simulation engine. One of the key challenges for synthetic workloads is the question of setting the parameters so that the workload properly reflects the behavior of actual workloads. This paper collects profile data from multiple real-world discrete-event simulation models in multiple configurations and sizes from the ROSS and WARPED2 repositories. A principle focus of this paper is the capture and reporting of profiling data to understand event granularities and event profile data to assist in the configuration of synthetic discrete event model generators.

关键词： parallel discrete event simulation profiling simulation models PHOLD synthetic workload generation discrete event simulation

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Piranha: a scalable architecture based on single-chip multiprocessing

Piranha: a scalable architecture based on single-chip multip...

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Annual international symposium on Computer Architecture, ISCA

作者： L.A. Barroso K. Gharachorloo R. McNamara A. Nowatzyk S. Qadeer B. Sano S. Smith R. Stets B. Verghese Western Research Laboratory Compaq Computer Corporation Palo Alto CA USA Systems Research Center Compaq Computer Corporation Palo Alto CA USA NonStop Hardware Development Compaq Computer Corporation Austin TX USA

This paper describes the Piranha system, a research prototype being developed at Compaq that aggressively exploits chip multiprocessing by integrating eight simple Alpha processor cores along with a two-level cache hierarchy onto a single chip. Piranha also integrates further on-chip functionality to allow for scalable multiprocessor configurations to be built in a glueless and modular fashion. The use of simple processor cores combined with an industry-standard ASIC design methodology allow us to complete our prototype within a short time-frame, with a team size and investment that are an order of magnitude smaller than that of a commercial microprocessor. Our detailed simulation results show that while each Piranha processor core is substantially slower than an aggressive next-generation processor, the integration of eight cores onto a single chip allows Piranha to outperform next-generation processors by up to 2.9 times (on a per chip basis) on important workloads such as OLTP. This performance advantage can approach a factor of five by using full-custom instead of ASIC logic. In addition to exploiting chip multiprocessing, the Piranha prototype incorporates several other unique design choices including a shared second-level cache with no inclusion, a highly optimized cache coherence protocol, and a novel I/O architecture.

关键词： parallel processing Computer aided instruction Concurrent computing Microprocessors Prototypes Process design Application specific integrated circuits Permission Out of order databases

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High Impact Computing: Computing for Science and the Science of Computing 15

High Impact Computing: Computing for Science and the Science...

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proceedings of the 24th international symposium on High-Performance parallel and distributed Computing

作者： Ewa Deelman University of Southern California Marina del Rey USA

ISBN: (纸本)9781450335508

Modern science often requires the processing and analysis of vast amounts of data in search of postulated phenomena, and the validation of core principles through the simulation of complex system behaviors and interactions. This is the case in fields such as astronomy, bioinformatics, physics, and climate and ocean modeling, and others. In order to support the computational and data needs of today's science, new knowledge must be gained on how to deliver the growing high-performance and distributed computing resources to the scientist's desktop in an accessible, reliable and scalable way. In over a decade of working with domain scientists, the Pegasus project [1,2] has developed tools and techniques that automate the computational processes used in data- and compute-intensive research. Among them is the scientific workflow management system, Pegasus, which is being used by researchers to model seismic wave propagation, to discover new celestial objects, to study RNA critical to human brain development, and to investigate other important research *** talk will review the conception and evolution of the Pegasus research program. It will touch upon the role of scientific workflow systems in advancing science, and will give specific examples of how the Pegasus Workflow Management System has done so. It will describe how the Pegasus project has adapted to changes in application needs and to advances in high performance and distributed computing systems. It will discuss the interleaving of Computer Science research and software development and how each benefits from the other while providing value to other science domains. The talk will also stress the importance of forming collaborations, both within Computer Science and with other disciplines, to help solve real-world problems and have fun along way.

关键词： science workflows distributed computing

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Immersive and interactive exploration of billion atom systems

Immersive and interactive exploration of billion atom system...

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IEEE Annual international symposium Virtual Reality

作者： A. Sharma Xinlian Liu P. Miller A. Nakano R.K. Kalia P. Vashishta Wei Zhao T.J. Campbell A. Haas Concurrent Computing Laboratory for Materials Simulations Biological Computation and Visualization Center Department of Computer Science Department of Physics & Astronomy Louisiana State University LA USA Naval Oceanographic Office Major Shared Resource Center Stennis Space Center Logicon Inc. MS USA

ISBN: (纸本)0769514928

Recent advances in parallel computing have made it possible for scientists to perform atomistic simulations of materials involving billions of atoms. An immersive and interactive virtual environment such as ImmersaDesk is an ideal platform for exploring complex material processes in these simulations. However rendering such large datasets at an interactive speed is a major challenge. To solve this problem we have developed a visualization system by incorporating parallel and distributed computing paradigms. The system uses a parallelized fast visibility-culling algorithm based on the octree data structure to reduce the number of atoms sent to the graphics pipeline. An adaptive multiresolution algorithm based on atomic density is employed to further reduce the load on the graphics pipeline. The resulting system renders a billion-atom system at nearly interactive frame rates on a dual processor SGI Onyx2 with an InfiniteReality2 graphics pipeline connected to a 4-node PC cluster.

关键词： Graphics Pipelines Computational modeling parallel processing Virtual environment Data visualization distributed computing Data structures Clustering algorithms Rendering (computer graphics)

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Combining task- and data parallelism to speed up protein folding on a desktop grid platform 03

Combining task- and data parallelism to speed up protein fol...

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IEEE/ACM international symposium on Cluster Computing and the Grid (CCGRID)

作者： B. Uk M. Taufer T. Stricker G. Settanni A. Cavalli A. Caflisch Department of Computer Science ETH Zurich Switzerland Department of CSE and The Scripps Research Institute (TSRI) University of California San Diego USA Department of Biochemistry University of Zurich Switzerland

ISBN: (纸本)9780769519197

The steady increase of computing power at lower and lower cost enables molecular dynamics simulations to investigate the process of protein folding with an explicit treatment of water molecules. Such simulations are typically done with well known computational chemistry codes like CHARMM. Desktop grids such as the United Devices MetaProcessor are highly attractive platforms, since scavenging for unused machines on Intra- and Internet delivers compute power that is almost free. However, the predominant programming paradigm for current desktop grids is pure task parallelism and might not fit the needs for protein folding simulations with explicit water molecules. A short overall turn-around time of a simulation remains highly important for research productivity, but the need for an accurate model and long simulation time-scales leads to tasks that are too large for optimal scheduling on a desktop grid. To address this problem, we introduce a combination of task- and data parallelism as a well suitable computing paradigm for protein folding investigations on grid platforms. As a proof of concept, we design and implement a simple system for protein folding simulations based on the notion of combined task and data parallelism with clustered workers. Clustered workers are machines grouped into small clusters according to network and CPU performance criteria and act as super-nodes within a desktop grid, permitting the utilization of data parallelism in addition to the task parallelism. We integrate our new paradigm into the existing software environment of the United Devices MetaProcessor. For a test protein, we reach a better quality of the folding calculations than we reached using just task parallelism on distributed systems.

关键词： Proteins parallel processing Computational modeling Grid computing Costs Chemistry Internet parallel programming Productivity Optimal scheduling

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