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About 10,000 papers for “Parallel processing”

Parallel geophysical processing

Wesley T. Perkins, Richard Zoll, Matthew A. Brzostowski · The Leading Edge · 1996

The use of massively parallel processors (MPP) systems is becoming more widespread in the seismic industry as it begins to take advantage of their strength in solving data processing problems. Today it is common for 3-D prestack depth migration and other computer or I/O intensive processes to be run on such platforms. This paper outlines how we have adapted to MPP in order to run our seismic processing algorithms as efficiently as possible.

Cited by 0

Parallel image processing

Nivat, M., Wang, Patrick S-P., Saoudi, Ahmed

This paper deals with two topics concerning two-dimensional automata operating in parallel. The authors first investigate a relationship between the accepting powers of two-dimensional alternating finite automata (2-AFAs) and nondeterministic bottom-up pyramid cellular acceptors (NUPCAs), and show that [symbol] (diameter x log diameter) time is necessary for NUPCAs to simulate 2-AFAs

Cited by 0

Teaching parallel processing

Jan Kwiatkowski, Marek Andruszkiewicz, Emilio Luque et al. · ACM SIGCSE Bulletin · 1996

detailed structure of the project entitled 'Teaching Parallel Processing: Development of Curriculum and Software Tools' which was started in 1994 and will be finish in 1997. Two universities from Poland:

Cited by 0Open access

Parallel language constructs for efficient parallel processing

Russell M. Clapp, Trevor Mudge · 1992

Proposes some basic language extensions to incorporate a parallel procedure model into the C programming language. In order to improve on other proposals, the authors set the goals of their design to attain increased efficiency, flexibility, and expressiveness, and to improve parallel program structure. They begin by discussing the motivation for these goals, and then present an overview of their proposed model for parallel procedures. They then describe the design of the run-time system that supports the parallel procedure model. A novel scheme for nesting parallel procedure contexts in multiple stack frames is included in the run-time system, thus eliminating the need for costly process control blocks. After describing the details of the language and run-time system design, the authors then present detailed performance data for two parallel programs using this system.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 2

Parallel vision processing and dedicated parallel architectures

Edwige Pissaloux · 2004

This paper proposes an overview of different processing paradigms inherent to image and vision processing, and of hardware support for them. It identifies some still open questions in parallel image/vision processing. The paper is organized into four parts. Part one discusses three main problems inherent to image and vision processing: processing flux parallelism, data parallelism and application constraints. Part two makes an overview of the flux (or control) parallelism hardware support for vision processing. Part three discusses the data parallelism concept and the architectural support for it existing in vision and image architectures. The presentation concludes with a discussion of future requirements for processors. Our conviction is that the future microprocessors, because of technology advances, will progressively integrate the structures of today's parallel dedicated computers.

Cited by 0

Parallel Dissector: Parallel Processing of DDoS Data

Kazemi Koohbanani, Paolo Arash (author) · Research Repository (Delft University of Technology) · 2023

Distributed Denial of Service (DDoS) leverages the power of multiple servers to disrupt the operations of a victim service. Due to the financial risks posed by downtimes on critical online infrastructure, DDoS is among the top threats in the cybersecurity landscape.&lt;br/&gt;&lt;br/&gt;In this paper, we analyze the characteristics of previously launched DDoS attacks using collected network data. To extract the characteristics from a network trace file, we expand the DDoS Dissector tool with additional statistics representing the peak traffic strength and the sources of the attack. In addition, we implement an algorithm to parallelize the analysis of large-scale attacks when executed in memory-constrained environments. Our results show that the error difference in the statistics obtained when running the parallelized version and the original one is less than 0.5%.&lt;br/&gt;&lt;br/&gt;Furthermore, we investigate several DDoS attacks by analyzing the contained attack vectors and their corresponding characteristics. Our software correctly detects the attack vectors, however, we remark that the output quality is impacted by the percentage of non-attack traffic. In particular, we provide an overview of the current state of the DDoS landscape seen from the point of view of a scrubbing service and study the effect of a Booter takedown on the frequency of DDoS attacks. Lastly, we introduce spoof detection techniques based on the time-to-live value found in the packet headers. From the spoofing analysis, we can deduce the distribution of operating systems that make up the sources of the attack.

Cited by 0Open access

Coherent Optical Parallel Processing

Stanley J. Krulikoski, Daniel C. Kowalski, Frank R. Whitehead · Optical Engineering · 1971

Conventional stereocompilation, whether carried out manually or automatically, involves a sequential point-by-point measurement of x parallax. This paper describes an "instant-profile" correlator, a coherent optical parallel processor which measures and displays x parallax point by point simultaneously rather than sequentially. With this optical processor, one can select any y strip of the overlapping stereo imagery, measure simultaneously the x parallax over the entire strip, and display at the output x parallax as a function of y photocoordinate. All of the overlapping imagery may be processed in this matter by simply scanning of the stereo photographs with a slit. The theory of operation of the optical parallel processor is discussed and experimental results with aerial photography are presented.

Cited by 2

Parallel signal processing software

Li X(李想), Du JS(杜劲松), Hu JT(胡静涛) et al. · SIA OpenIR (Chinese Academy of Sciences) · 2014

At present, parallel signal processing tasks is applied more and more widely. Traditional way of development of parallel signal processing tasks is custom development. This development way needs manual programming, the development cycle is long, and the platform portability is poor. The parallel signal processing software discussed in this paper will make revolutionary change in the way of development of parallel signal processing tasks. The goal of parallel signal processing tasks is to achieve fully graphical and modularized development under an integrated development software environment. The software can automatically generate codes. Besides, the software provides the function of predicting and evaluating the performance. Furthermore, the software has generalization of hardware platform. &amp;copy; 2015 Taylor &amp;amp; Francis Group, London.

Cited by 0