Conferences related to Data Structures

Back to Top

2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC)

EDA (Electronics Design Automation) is becoming ever more important with the continuous scaling of semiconductor devices and the growing complexities of their use in circuits and systems. Demands for lower-power, higher-reliability and more agile electronic systems raise new challenges to both design and design automation of such systems. For the past five decades, the primary focus of research track at DAC has been to showcase leading-edge research and practice in tools and methodologies for the design of circuits and systems.

  • 2022 59th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2021 58th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2020 57th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC Description for TMRF The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading

  • 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 session on design methodologies and EDA tool developments, keynotes, panels, plus User Track presentations. A diverse worldwide community representing more than 1,000 organization attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2012 49th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers

  • 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference is the world s leading technical conference and tradeshow on electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business.

  • 2010 47th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers.

  • 2009 46th ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC is the premier event for the electronic design community. DAC offers the industry s most prestigious technical conference in combination with the biggest exhibition, bringing together design, design automation and manufacturing market influencers.

  • 2008 45th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 250 of the leading electronics design suppliers.

  • 2007 44th ACM/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier Electronic Design Automation (EDA) and silicon solution event. DAC features over 50 technical sessions covering the latest in design methodologies and EDA tool developments and an Exhibition and Demo Suite area with over 250 of the leading EDA, silicon and IP Providers.

  • 2006 43rd ACM/IEEE Design Automation Conference (DAC)

  • 2005 42nd ACM/IEEE Design Automation Conference (DAC)

  • 2004 41st ACM/IEEE Design Automation Conference (DAC)

  • 2003 40th ACM/IEEE Design Automation Conference (DAC)

  • 2002 39th ACM/IEEE Design Automation Conference (DAC)

  • 2001 38th ACM/IEEE Design Automation Conference (DAC)

  • 2000 37th ACM/IEEE Design Automation Conference (DAC)

  • 1999 36th ACM/IEEE Design Automation Conference (DAC)

  • 1998 35th ACM/IEEE Design Automation Conference (DAC)

  • 1997 34th ACM/IEEE Design Automation Conference (DAC)

  • 1996 33rd ACM/IEEE Design Automation Conference (DAC)


2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2019 IEEE International Conference on Industrial Technology (ICIT)

The scope of the conference will cover, but will not be limited to, the following topics: Robotics; Mechatronics; Industrial Automation; Autonomous Systems; Sensing and artificial perception, Actuators and Micro-nanotechnology; Signal/Image Processing and Computational Intelligence; Control Systems; Electronic System on Chip and Embedded Control; Electric Transportation; Power Electronics; Electric Machines and Drives; Renewable Energy and Smart Grid; Data and Software Engineering, Communication; Networking and Industrial Informatics.


More Conferences

Periodicals related to Data Structures

Back to Top

Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems Magazine, IEEE


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


More Periodicals


Xplore Articles related to Data Structures

Back to Top

Algorithms and Data Structures for External Memory

Algorithms and Data Structures for External Memory, None

Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. Algorithms and Data Structures for External Memory surveys the state of the art in the design and analysis of external ...


Philosophy of Data Structures in Engineering Education

2016 International Conference on Learning and Teaching in Computing and Engineering (LaTICE), 2016

The pillars of Computer Science and Engineering (CSE) curriculum are Data Structures, Database management systems, languages, operating systems and algorithms. This article explains the relationship and connectivity of these core courses. Authors follow the pedagogy technique to teach the Data Structures (DS) by considering its evolution. The article focus on the method of providing connectivity between the building blocks of ...


A visualization tool for Data Structures course

2009 2nd IEEE International Conference on Computer Science and Information Technology, 2009

Data structures is a core course in almost all computer science programs. Textbooks and courses on data structures these days are programming-languages- based with those based on object-oriented programming (OOP) in dominance. In many cases, they base their pedagogy on software design patterns. However, because of heavy reliance on abstraction, they place greater demands on learners. In this study, we ...


AnyviewC: A Visual Practice Platform for Data Structures Course

2009 WRI World Congress on Computer Science and Information Engineering, 2009

AnyviewC is a C-language integrated development environment (IDE) with visual debugging feature. Besides editing, compiling, and debugging C-language source code, with the help of the special algorithm to recognize typical data structure, and the layout strategy to visualize corresponding data structure, AnyviewC can identify the relationship among the data and apply visualization techniques to demonstrate data structure as suitable graphics. ...


An Empirical Study of the Influence of Data Structures on the Performance of VG-RAM Classifiers

2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence, 2013

This work investigates the effect of different data structures on the performance and accuracy of VG-RAM-based classifiers. This weightless neural model is based on RAM nodes having very large address input, what suggests the use of special data structures in order to deal with space and time computational costs. Four different data structures are explored, including the classical one used ...


More Xplore Articles

Educational Resources on Data Structures

Back to Top

IEEE-USA E-Books

  • Algorithms and Data Structures for External Memory

    Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. Algorithms and Data Structures for External Memory surveys the state of the art in the design and analysis of external memory (or EM) algorithms and data structures, where the goal is to exploit locality in order to reduce the I/O costs. A variety of EM paradigms are considered for solving batched and online problems efficiently in external memory. Algorithms and Data Structures for External Memory describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing. Algorithms and Data Structures for External Memory is an invaluable reference for anybody interested in, or conducting research in the design, analysis, and implementation of algorithms and data structures.

  • Philosophy of Data Structures in Engineering Education

    The pillars of Computer Science and Engineering (CSE) curriculum are Data Structures, Database management systems, languages, operating systems and algorithms. This article explains the relationship and connectivity of these core courses. Authors follow the pedagogy technique to teach the Data Structures (DS) by considering its evolution. The article focus on the method of providing connectivity between the building blocks of DS like Data Containers, Container Iterators, Algorithms and Functors. Each data structure is explained by considering its property, iterations, problems and applications. The three fold method is followed to teach DS, which includes think, build and discuss phases. The pedagogy techniques practiced by authors are revealed many mysteries, which are not discussed in most of the DS text books.

  • A visualization tool for Data Structures course

    Data structures is a core course in almost all computer science programs. Textbooks and courses on data structures these days are programming-languages- based with those based on object-oriented programming (OOP) in dominance. In many cases, they base their pedagogy on software design patterns. However, because of heavy reliance on abstraction, they place greater demands on learners. In this study, we design and implement a visualization tool that makes it easier for students to understand object-oriented data structures.

  • AnyviewC: A Visual Practice Platform for Data Structures Course

    AnyviewC is a C-language integrated development environment (IDE) with visual debugging feature. Besides editing, compiling, and debugging C-language source code, with the help of the special algorithm to recognize typical data structure, and the layout strategy to visualize corresponding data structure, AnyviewC can identify the relationship among the data and apply visualization techniques to demonstrate data structure as suitable graphics. AnyviewC has been used as a practice platform for data structures course in Guangdong University of Technology, and received widely approval in enhancing students' performance in the course.

  • An Empirical Study of the Influence of Data Structures on the Performance of VG-RAM Classifiers

    This work investigates the effect of different data structures on the performance and accuracy of VG-RAM-based classifiers. This weightless neural model is based on RAM nodes having very large address input, what suggests the use of special data structures in order to deal with space and time computational costs. Four different data structures are explored, including the classical one used in recent VG-RAM related literature, resulting in a novel and accurate yet fast setup.

  • Databases in Cloud PaaS Data Structures and Models

    In this tutorial, we will review Cloud PaaS Architecture and gain an understanding of its functionalities and how it can be used to simplify application creation and deployment. We will also discuss how Cloud PaaS is widely used for migrating enterprise processes to cloud and how it brings all generic Cloud Computing benefits together including on-demand provisioning, elasticity, pay per use, and multi-tenancy. Next we will discuss Microsoft Azure and demonstrate how it represents an example of the generic PaaS features implementation. Finally, we will review a number of Open Source Cloud Management platforms.

  • Efficient regular data structures and algorithms for location and proximity problems

    Investigates data structures obtained by a recursive partitioning of the input domain into regions of equal size. One of the most well-known examples of such a structure is the quadtree, which is used in this paper as a basis for more complex data structures; we also provide multidimensional versions of the stratified tree of P. van Emde Boas (1997). We show that, under the assumption that the input points have limited precision (i.e. are drawn from an integer grid of size u), these data structures yield efficient solutions to many important problems. In particular, they allow us to achieve O(log log u) time per operation for finding the dynamic approximate nearest neighbor (under insertions and deletions) and the exact online closest pair (under insertions only) in any constant dimension. They allow O(log log u) point location in a given planar shape or in its expansion (dilation by a ball of a given radius). Finally, we provide a linear-time (optimal) algorithm for computing the expansion of a shape represented by a quadtree. This result shows that the spatial order imposed by this regular data structure is sufficient to optimize the dilation by a ball operation.

  • IEEE Standard for Spectrum Sensing Interfaces and Data Structures for Dynamic Spectrum Access and Other Advanced Radio Communication Systems - Corrigendum 1

    Terms and definitions are modified in this corrigendum to IEEE Std 1900.6(TM)-2011, in response to comments received during the approval process of IEEE Std 1900.1a(TM)-2012 and IEEE Std 1900.6a(TM)-2014, which could not be considered in the 1900.6a amendment. The use of terms and definitions in IEEE Std 1900.6 are aligned by these corrections, with their use in the scope of IEEE Std 1900.1.

  • Efficient algorithms and data structures for element-free Galerkin method

    The element-free Galerkin method (EFG) has specific characteristics that require the usage of techniques and data structures in order to provide efficient calculation. This paper address two problems concerning the EFG implementation. The point location problem, which must find in which subdomain the integration point is located, and the influence domain problem, which must find the nearest nodes to build an influence domain and construct the shape functions. This work proposes the use of new data structures and algorithms in order to solve these problems, speeding up the method and providing a fast and correct influence domain construction

  • Teaching data structures and Software Architecture while constructing curriculum platform

    Data Structures and Software Architecture are two important courses of the subjects allied to computer science. Both of them are abstract and need practical experience to understand well. This paper discusses how to apply the different knowledge to the teaching process of Data Structures and Software Architecture by constructing the curriculum platform, which is a web instructional system. An optimal algorithm for generating authority tree dynamically applied to the developed web system is proposed. The knowledge hidden in the details of the algorithm is applied to the teaching. It is meant to explore a new method of teaching, rich the teaching content, grow the students' interest of curricula, and improve their ability of practice.



Standards related to Data Structures

Back to Top

(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.


IEEE Application Guide for Distributed Digital Control and Monitoring for Power Plants


Standard for Utility Industry End Device Data Tables

To develop a standard for utility end device application layer communications protocol and the functional data structures which it transports. It is to allow operation of end devices for utility distribution and customer applications.