Dark Silicon and Future On-chip Systems

Erscheinungsjahr 2018
ISBN: 978-0-12-815358-1
Verlag: William Andrew Publishing

Buch, Englisch, 304 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 680 g

Dark Silicon and the Future of On-chip Systems, Volume 110, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications, with this release focusing on an Introduction to dark silicon and future processors, a Revisiting of processor allocation and application mapping in future CMPs in the dark silicon era, Multi-objectivism in the dark silicon age, Dark silicon aware resource management for many-core systems, Dynamic power management for dark silicon multi-core processors, Topology specialization for networks-on-chip in the dark silicon era, and Emerging SRAM-based FPGA architectures.

Zielgruppe

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

Autoren/Hrsg.

Weitere Mitwirkende

Namasudra, Suyel

Sarbazi-Azad, Hamid

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen

Inhaltsverzeichnis

1. Dark Silicon and the History of Computing Pejman Lotfi-Kamran and Hamid Sarbazi-Azad 2. Revisiting Processor Allocation and Application Mapping in Future CMPs in Dark Silicon Era Mohaddesseh Hoveida, Fatemeh Aghaliakbari, Majid Jalili, Ramin Bashizadeh, Mohammad Arjomand and Hamid Sarbazi-Azad 3. Multiobjectivism in Dark Silicon Age Amin Rezaei, Masoud Daneshtalab and Hai Zhou 4. Dark Silicon Aware Resource Management for Many-Core Systems Heba Khdr, Santiago Pagani, Muhammad Shafique and Jörg Henkel 5. Dynamic Power Management for Dark Silicon Multicore Processors Siddharth Garg 6. Topology Specialization for Networks-on-Chip in the Dark Silicon Era Mehdi Modarressi and Hamid Sarbazi-Azad 7. Introduction to Emerging SRAM-Based FPGA Architectures in Dark Silicon Era Zeinab Seifoori, Zahra Ebrahimi, Behnam Khaleghi and Hossein Asadi

Über Autor(innen)

Sarbazi-Azad, Hamid
Hamid Sarbazi-Azad is currently a professor of computer science and engineering at Sharif University of Technology, and a research professor of computer science at the Institute for Research in Fundamental Sciences, both in Tehran, Iran. His research interests include high-performance computer/memory architectures, NoCs and SoCs, learning architectures, social networks, and storage systems, on which he has published over 400 refereed papers. He received Khwarizmi International Award in 2006, TWAS Young Scientist Award in engineering sciences in 2007, and Sharif University Distinguished Researcher awards in years 2004, 2007, 2008, 2010 and 2013. He is now an associate editor of ACM Computing Surveys, IEEE Computer Architecture Letters, and Elsevier's Computers and Electrical Engineering.

Namasudra, Suyel
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.