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This book describes the current state of the art in big-data
analytics, from a technology and hardware architecture perspective.
The presentation is designed to be accessible to a broad audience,
with general knowledge of hardware design and some interest in
big-data analytics. Coverage includes emerging technology and
devices for data-analytics, circuit design for data-analytics, and
architecture and algorithms to support data-analytics. Readers will
benefit from the realistic context used by the authors, which
demonstrates what works, what doesn't work, and what are the
fundamental problems, solutions, upcoming challenges and
opportunities. Provides a single-source reference to hardware
architectures for big-data analytics; Covers various levels of
big-data analytics hardware design abstraction and flow, from
device, to circuits and systems; Demonstrates how non-volatile
memory (NVM) based hardware platforms can be a viable solution to
existing challenges in hardware architecture for big-data
analytics.
This book introduces readers to alternative approaches to designing
efficient embedded systems using unconventional number systems. The
authors describe various systems that can be used for designing
efficient embedded and application-specific processors, such as
Residue Number System, Logarithmic Number System, Redundant Binary
Number System Double-Base Number System, Decimal Floating Point
Number System and Continuous Valued Number System. Readers will
learn the strategies and trade-offs of using unconventional number
systems in application-specific processors and be able to apply and
design appropriate arithmetic operations from these number systems
to boost the performance of digital systems.
This book describes the current state of the art in big-data
analytics, from a technology and hardware architecture perspective.
The presentation is designed to be accessible to a broad audience,
with general knowledge of hardware design and some interest in
big-data analytics. Coverage includes emerging technology and
devices for data-analytics, circuit design for data-analytics, and
architecture and algorithms to support data-analytics. Readers will
benefit from the realistic context used by the authors, which
demonstrates what works, what doesn’t work, and what are the
fundamental problems, solutions, upcoming challenges and
opportunities. Provides a single-source reference to hardware
architectures for big-data analytics; Covers various levels of
big-data analytics hardware design abstraction and flow, from
device, to circuits and systems; Demonstrates how non-volatile
memory (NVM) based hardware platforms can be a viable solution to
existing challenges in hardware architecture for big-data
analytics.
This book introduces readers to alternative approaches to designing
efficient embedded systems using unconventional number systems. The
authors describe various systems that can be used for designing
efficient embedded and application-specific processors, such as
Residue Number System, Logarithmic Number System, Redundant Binary
Number System Double-Base Number System, Decimal Floating Point
Number System and Continuous Valued Number System. Readers will
learn the strategies and trade-offs of using unconventional number
systems in application-specific processors and be able to apply and
design appropriate arithmetic operations from these number systems
to boost the performance of digital systems.
This book provides the foundations for understanding hardware
security and trust, which have become major concerns for national
security over the past decade. Coverage includes issues related to
security and trust in a variety of electronic devices and systems
related to the security of hardware, firmware and software,
spanning system applications, online transactions and networking
services. This serves as an invaluable reference to the
state-of-the-art research that is of critical significance to the
security of and trust in, modern society's
microelectronic-supported infrastructures.
On behalf of the ProgramCommittee, we are pleased to present the
proceedings of the 2005 Asia-Paci?c Computer Systems Architecture
Conference (ACSAC 2005) held in the beautiful and dynamic country
of Singapore. This conference was the tenth in its series, one of
the leading forums for sharing the emerging research ?ndings in
this ?eld. In consultation with the ACSAC Steering Committee, we
selected a - member Program Committee. This Program Committee
represented a broad spectrum of research expertise to ensure a good
balance of research areas, - stitutions and experience while
maintaining the high quality of this conference series. This year's
committee was of the same size as last year but had 19 new faces.
We received a total of 173 submissions which is 14% more than last
year. Each paper was assigned to at least three and in some cases
four ProgramC- mittee members for review. Wherever necessary, the
committee members called upon the expertise of their colleagues to
ensure the highest possible quality in the reviewing process. As a
result, we received 415 reviews from the Program Committee members
and their 105 co-reviewers whose names are acknowledged inthe
proceedings.Theconferencecommitteeadopteda systematicblind review
process to provide a fair assessment of all submissions. In the
end, we accepted 65 papers on a broad range of topics giving an
acceptance rate of 37.5%. We are grateful to all the Program
Committee members and the co-reviewers for their e?orts in
completing the reviews within a tight schedule.
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VLSI-SoC: Technology Advancement on SoC Design - 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021, Singapore, October 4-8, 2021, Revised and Extended Selected Papers (Hardcover, 1st ed. 2022)
Victor Grimblatt, Chip-Hong Chang, Ricardo Reis, Anupam Chattopadhyay, Andrea Calimera
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R1,587
Discovery Miles 15 870
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Ships in 10 - 15 working days
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This book contains extended and revised versions of the best papers
presented at the 29th IFIP WG 10.5/IEEE International Conference on
Very Large Scale Integration, VLSI-SoC 2021, held in Singapore, in
October 2021*. The 12 full papers included in this volume were
carefully reviewed and selected from the 44 papers (out of 75
submissions) presented at the conference. The papers discuss the
latest academic and industrial results and developments as well as
future trends in the field of System-on-Chip (SoC) design,
considering the challenges of nano-scale, state-of-the-art and
emerging manufacturing technologies. In particular they address
cutting-edge research fields like low-power design of RF, analog
and mixed-signal circuits, EDA tools for the synthesis and
verification of heterogenous SoCs, accelerators for cryptography
and deep learning and on-chip Interconnection system, reliability
and testing, and integration of 3D-ICs. *The conference was held
virtually.
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