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1993 IEEE 9th international conference on Data Engineering

1993 IEEE 9th International Conference on Data Engineering

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1993 IEEE 9th international conference on Data Engineering

ISBN: (纸本)0818635703

This conference proceedings contains 76 papers from a conference on advances in data engineering theory. Topics discussed include integrity constraints, spatial query processing, object oriented programming languages, database techniques for new engineering applications, main memory management, object oriented programming language implementation, schema and file management, query optimization and evaluation, concurrency control, query languages. federated database systems, temporal query languages, large-object support, object oriented models, parallel query processing, transitive closure and backup, federated object oriented interfaces, transaction synchronization and recovery, database engineering, deductive database implementation, extended serializability, knowledge bases, multidatabase languages, and application modeling.

关键词： Data processing

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HI-Pass: A computer-Aided synthesis system for maximally parallel digital signal processing asics

HI-Pass: A computer-Aided synthesis system for maximally par...

引用

1992 IEEE international conference on Acoustics, Speech, and Signal processing, ICASSP 1992

作者： Duncan, Phillip Swamy, Shobana Sprouse, Steve Potasz, Daniel Jain, Rajeev Gafter, Neal Cammack, William Wong, Viwan Ciass, Wanda UCLA LOS AngelesCA90024 United States Texas Instruments DallasTX75265 United States

ISBN: (纸本)0780305329

Hi-PASS, a CAD system for DSP architccturc synthesis, has been developed to automatically producc maximally parallel VLSI designs for real-Time applications. The target DSP application} are the class for which desired sample rates are so high that time sharing of hardware is not feasible. Hi-PASS accepts a C code description of the design to be synthesized and produces a structural description of the final design, which can be fabricated using standard cells provided by the I-Agcr IV silicon assembly system. Hi-PASS is a collection of modular tools, several of which contain new techniques within the field of synthesis C code is converted into a flowgraph using a technique known as symbolic interpretation, including new methods for handling certain types of input-dependent control flow. The HOPS program is a heuristic search flowgraph optimizer tailored for the arithmetic intensive structures necessary for real-Time DSP applications. The high throughput rates necessary for these applications also require that retiming be used to provide very short inter- delay times. A new retiming tool has been developed which allows for computationally efficient bit-level retiming. © 1992 IEEE.

关键词： Digital signal processing

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Unleashing CPU-GPU Acceleration for Control Theory applications

Unleashing CPU-GPU Acceleration for Control Theory Applicati...

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18th international conference on Euro-Par parallel processing

作者： Benner, Peter Ezzatti, Pablo Quintana-Orti, Enrique S. Remon, Alfredo Max Planck Inst Dynam Complex Tech Syst D-39106 Magdeburg Germany Univ Republica Inst Computac Montevideo 300 Uruguay Univ Jaume 1 Dpto Ingn Ciencia Computadores E-12071 Castellon de La Plana Spain

ISBN: (纸本)9783642369490

In this paper we review the effect of two high-performance techniques for the solution of matrix equations arising in control theory applications on CPU-GPU platforms, in particular advanced optimization via look-ahead and iterative refinement. Our experimental evaluation on the last GPU-generation from NVIDIA, "Kepler", shows the slight advantage of matrix inversion via Gauss-Jordan elimination, when combined with look-ahead, over the traditional LU-based procedure, as well as the clear benefits of using mixed precision and iterative refinement for the solution of Lyapunov equations.

关键词： Control theory matrix equations matrix inversion multicore processors graphics processors

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Private Data System Enabling Self-Sovereign Storage Managed by Executable Choreographies 17th

Private Data System Enabling Self-Sovereign Storage Managed ...

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17th IFIP WG 6.1 international conference on distributed applications and Interoperable Systems (DAIS) Held as Part of the 12th international Federated conference on distributed Computing techniques (DisCoTec)

作者： Alboaie, Sinica Cosovan, Doina Alexandru Ioan Cuza Univ Iasi Romania Tech Univ Cluj Napoca Iasi Romania

ISBN: (纸本)9783319596655;9783319596648

With the increased use of Internet, governments and large companies store and share massive amounts of personal data in such a way that leaves no space for transparency. When a user needs to achieve a simple task like applying for college or a driving license, he needs to visit a lot of institutions and organizations, thus leaving a lot of private data in many places. The same happens when using the Internet. These privacy issues raised by the centralized architectures along with the recent developments in the area of serverless applications demand a decentralized private data layer under user control. We introduce the Private Data System (PDS), a distributed approach which enables self-sovereign storage and sharing of private data. The system is composed of nodes spread across the entire Internet managing local key-value databases. The communication between nodes is achieved through executable choreographies, which are capable of preventing information leakage when executing across different organizations with different regulations in place. The user has full control over his private data and is able to share and revoke access to organizations at any time. Even more, the updates are propagated instantly to all the parties which have access to the data thanks to the system design. Specifically, the processing organizations may retrieve and process the shared information, but are not allowed under any circumstances to store it on long term. PDS offers an alternative to systems that aim to ensure self-sovereignty of specific types of data through blockchain inspired techniques but face various problems, such as low performance. Both approaches propose a distributed database, but with different characteristics. While the blockchain-based systems are built to solve consensus problems, PDS's purpose is to solve the self-sovereignty aspects raised by the privacy laws, rules and principles.

关键词： Privacy Enhancing Technique Privacy by Design Privacy by Default Data self-sovereignty Privacy Private data distributed storage Executable choreography

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A Low-cost Fault Tolerance Technique in Multi-media applications through Configurability

A Low-cost Fault Tolerance Technique in Multi-media Applicat...

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13th international conference on Quality Software (QSIC)

作者： Tan, Lanfang Tan, Ying Natl Lab Parallel & Distributed Proc Changsha Hunan Peoples R China Comp Sch Sichuan Univ Chengdu Peoples R China

ISBN: (纸本)9780769550398

As chip densities and clock rates increases, processors are becoming more susceptible to transient faults that affect program correctness. Therefore, fault tolerance becomes increasingly important in computing system. Two major concerns of fault tolerance techniques are: a) improving system reliability by detecting transient errors and b) reducing performance overhead. In this study, we propose a configurable fault tolerance technique targeting both high reliability and low performance overhead for multi-media applications. The basic principle is applying different levels of fault tolerance configurability, which means that different degrees of fault tolerance are applied to different parts of the source codes in multi-media applications. First, a primary analysis is performed on the source code level to classify the critical statements. Second, a fault injection process combined with a statistical analysis is used to assure the partition with regards to a confidence degree. Finally, checksum-based fault tolerance and instruction duplication are applied to critical statements, while no fault tolerance mechanism is applied to non-critical parts. Performance experiment results demonstrate that our configurable fault tolerance technique can lead to significant performance gains compared with duplicating all instructions. The fault coverage of this scheme is also evaluated. Fault injection results show that about 90% of outputs are application-level correctness with just 20% of runtime overhead.

关键词： application-level correctness configurable fault tolerance critical multi-media applications checksum

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Proceedings of the 46th international conference on Very Large Data Bases, VLDB January 2020

Proceedings of the 46th International Conference on Very Lar...

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46th international conference on Very Large Data Bases, VLDB 2020

This proceedings contains 14 papers. The Proceedings of the VLDB Endowment (PVLDB) provides a high-quality publication service to the data management research community. This conference issue focuses on the breadth of the data management field. The topics include view updates, query compilation, concurrency control, data parsing, data cleaning;tackle more recent problems in particular graph processing;on road networks;failure handling techniques from data processing to distributed application programming;breadth of technical problems as well as the breadth of solutions spanning the hardware-software stack and going from theoretical to systems-oriented are an important quality of the database;etc. The key terms of this proceedings include dynamic road networks, massively parallel parsing, contended main-memory multicore transactions, LSH framework, homogeneous network embedding, data cleaning, MDedup, debuggable dataflow system, dynamic speculative optimizations, imputation of missing values techniques.

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LoCaF: Detecting Real-World States with Lousy Wireless Cameras

LoCaF: Detecting Real-World States with Lousy Wireless Camer...

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8th IEEE international conference on distributed Computing in Sensor Systems (DCOSS)/IWSN/WiSARN/PWSN

作者： Meyer, Benjamin Mietz, Richard Roemer, Kay Univ Lubeck Inst Comp Engn Lubeck Germany

ISBN: (纸本)9780769547077

The Internet of Things (IoT) integrates wireless sensors to provide online and real-time access to the state of things and places. However, many interesting real-world states are difficult to detect with traditional scalar sensors. Tiny wireless camera sensor nodes are an interesting alternative as a single camera can observe a large area in great detail. However, low image resolution, poor image quality, and low frame rates as well as varying lighting conditions in outdoor scenarios make the detection of real-world states using these lousy cameras a challenging problem. In this paper we introduce a framework that addresses this problem by providing an end-to-end solution that includes energy-efficient image capture, image enhancement to mitigate low picture quality, object detection with low frame rates, inference of high-level states, and publishing of these states on the IoT. The framework can be flexibly configured by end-users without programming skills and supports a variety of different applications.

关键词： Frame Rate Cameras World government wireless PROGRAMMING techniques image resolution End users Publishing Sensors Image quality Frameworks

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Active-Code Replacement in the OODIDA Data Analytics Platform 25th

Active-Code Replacement in the OODIDA Data Analytics Platfor...

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25th international conference on parallel and distributed Computing (Euro-Par)

作者： Ulm, Gregor Gustavsson, Emil Jirstrand, Mats Fraunhofer Chalmers Res Ctr Ind Math Chalmers Sci Pk S-41288 Gothenburg Sweden Fraunhofer Ctr Machine Learning Chalmers Sci Pk S-41288 Gothenburg Sweden

ISBN: (纸本)9783030483401;9783030483395

OODIDA (On-board/Off-board distributed Data Analytics) is a platform for distributing and executing concurrent data analytics tasks. It targets fleets of reference vehicles in the automotive industry and has a particular focus on rapid prototyping. Its underlying message-passing infrastructure has been implemented in Erlang/OTP. External Python applications perform data analytics tasks. Most work is performed by clients (on-board). A central cloud server performs supplementary tasks (off-board). OODIDA can be automatically packaged and deployed, which necessitates restarting parts of the system, or all of it. This is potentially disruptive. To address this issue, we added the ability to execute user-defined Python modules on clients as well as the server. These modules can be replaced without restarting any part of the system and they can even be replaced between iterations of an ongoing assignment. This facilitates use cases such as iterative A/B testing of machine learning algorithms or modifying experimental algorithms on-the-fly.

关键词： distributed computing Code replacement Erlang

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A Case of System-Wide Power Management for Scientific applications

A Case of System-Wide Power Management for Scientific Applic...

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15th IEEE international conference on Cluster Computing (CLUSTER)

作者： Liu, Zhuo Lofstead, Jay Wang, Teng Yu, Weikuan Auburn Univ Auburn AL 36849 USA Sandia Natl Labs Livermore CA 94550 USA

ISBN: (纸本)9781479908981

The advance of high-performance computing systems towards exascale will be constrained by the systems' energy consumption levels. Large numbers of processing components, memory, interconnects, and storage components must all be considered to achieve exascale performance within a targeted energy bound. While application-aware power allocation schemes for computing resources are well studied, a portable and scalable budget-constrained power management scheme for scientific applications on exascale systems is still required. Execution activities within scientific applications can be categorized as CPU-bound, I/O-bound and communication-bound. Such activities tend to be clustered into 'phases', offering opportunities to manage their power consumption separately. Our experiments have demonstrated that their performance and energy consumption are affected differently by CPU frequency, an opportunity to fine tune CPU frequency for a minimal impact on the total execution time but significant savings on the energy consumption. By exploiting this opportunity, we present a phase-aware hierarchical power management framework that can opportunistically deliver good tradeoffs between system power consumption and application performance under a power budget. Our hierarchical power management framework consists of two main techniques: Phase-Aware CPU Frequency Scaling (PAFS) and opportunistic provisioning for power-constrained performance optimization. We have performed a systematic evaluation using both simulations and representative scientific applications on real systems. Our results show that our techniques can achieve 4.3%47% better energy efficiency for large-scale scientific applications.

关键词： energy conservation parallel processing power aware computing

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CAMELOT: A FLEXIBLE, distributed TRANSACTION processing SYSTEM.

CAMELOT: A FLEXIBLE, DISTRIBUTED TRANSACTION PROCESSING SYST...

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Digest of Papers - Compcon Spring 88: Intellectual Leverage, Thirty-Third IEEE Computer Society international conference.

作者： Spector, Alfred Z. Pausch, Randy F. Bruell, Gregory Carnegie-Mellon Univ Pittsburgh PA USA Carnegie-Mellon Univ Pittsburgh PA USA

ISBN: (纸本)0818608285

The Camelot Project has constructed a distributed transaction facility intended to support widespread use of transaction processing techniques. Camelot executes on a variety of uni- and multiprocessors on top of the Unix-compatible, Mach operating system. The authors describe the design decisions that make Camelot a flexible, easy-to-use system and briefly describe Camelot's programming interfaces and algorithms. They discuss two applications of Camelot: an implementation of distributed ET-1 and a graphical room reservation system that uses the X Window Manager.

关键词： Computer systems, Digital

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