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Advances in Computers

  • 1st Edition, Volume 106 - June 26, 2017
  • Latest edition
  • Editors: Suyel Namasudra, Veljko Milutinovic
  • Language: English

Advances in Computers, Volume 106 is the latest volume in the series, which has been published since 1960. This update presents innovations in computer hardware, software,… Read more

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Description

Advances in Computers, Volume 106 is the latest volume in the series, which has been published since 1960. This update presents innovations in computer hardware, software, theory, design and applications, with new chapters in this volume including sections on A New Course on R&D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned, Advances in Dataflow Systems, Adaptation and Evaluation of the Simplex Algorithm for a Data-Flow Architecture, and Simple Operations in Memory to Reduce Data Movement. In addition, this series provides contributors with a medium to explore their subjects in greater depth than journal articles usually allow.

Key features

  • Provides in-depth surveys and tutorials on new computer technology
  • Presents well-known authors and researchers in the field
  • Contains extensive bibliographies with most chapters
  • Includes volumes that are devoted to single themes or subfields of computer science

Readership

Researchers in high-performance computer areas, hardware manufacturers, educational programs in physics and scientific computation and in computer science

Table of contents

    1. A New Course on R&D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned
    2. Veljko Milutinovic, Stasa Vujicic Stankovic, Aleksandar Jovic, Drazen Draskovic, Marko Misic and Danilo Furundzic

    3. Advances in Dataflow Systems
    4. Thomas Chau, Pavel Burovskiy, Michael Flynn and Wayne Luk

    5. Adaptation and Evaluation of the Simplex Algorithm for a Data-Flow Architecture
    6. Uroš Čibej and Jurij Mihelič

    7. Simple Operations in Memory to Reduce Data Movement
    8. Vivek Seshadri and Onur Mutlu

    9. A Novel Infrastructure for Synergistic Dataflow Research, Development, Education, and Deployment: The Maxeler AppGallery Project
    10. Nemanja Trifunovic, Boris Perovic, Petar Trifunovic, Zoran Babovic and Ali Hurson

Product details

  • Edition: 1
  • Latest edition
  • Volume: 106
  • Published: June 26, 2017
  • Language: English

About the editors

SN

Suyel Namasudra

Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.

Affiliations and expertise
Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India

VM

Veljko Milutinovic

Prof. Veljko Milutinovic received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPA's first GaAs RISC microprocessor. Later he taught and conducted research at the University of Belgrade, Serbia, in ECE and MATH. Now he serves as the Senior Advisor to Maxeler Technologies in London, UK. His research is mostly in datamining and dataflow computing, with the emphasis on mappings of algorithms onto architectures. His co-authored paper on matrix multiplication for dataflow received "The IET Premium Award for 2014" (meaning the single best paper in IET Computing for 2012 and 2013). He is a Fellow of the IEEE and a Member of Academia Europaea. He has over 40 IEEE journal papers, over 40 other SCI journal papers, over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations.
Affiliations and expertise
University of Belgrade, Serbia; Member of Academia Europaea

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