1,980 research outputs found
Methodologies for Designing Power-Aware Smart Card Systems
Smart cards are some of the smallest
computing platforms in use today. They have
limited resources, but a huge number of
functional requirements. The requirement for
multi-application cards increases the demand
for high performance and security even more,
whereas the limits given by size and energy
consumption remain constant.
We describe new
methodologies for designing and implementing
entire systems with regard to power awareness
and required performance. To make use of this
power-saving potential, also the higher layers
of the system - the operating system layer and
the application domain layer - are required to
be designed together with the rest of the
system.
HW/SW co-design methodologies enable the gain of
system-level optimization. The first part presents the
abstraction of smart cards to optimize system architecture
and memory system. Both functional and transactional-level
models are presented and discussed. The proposed design
flow and preliminary results of the evaluation are depicted.
Another central part of this methodology is a cycle-accurate instruction-set
simulator for secure software development.
The underlaying energy model is designed
to decouple instruction and data dependent energy dissipation,
which leads to an independent characterization process and allows
stepwise model refinement to increase estimation accuracy. The
model has been evaluated for a high-performance smart card CPU and
an use-case for secure software is given
Low Power Design Methodology
Due to widespread application of portable electronic devices and the evaluation of microelectronic technology, power dissipation has become a critical parameter in low power VLSI circuit designs. In emerging VLSI technology, the circuit complexity and high speed imply significant increase in the power consumption. In low power CMOS VLSI circuits, the energy dissipation is caused by charging and discharging of internal node capacitances due to transition activity, which is one of the major factors that also affect the dynamic power dissipation. The reduction in power, area and the improvement of speed require optimization at all levels of design procedures. Here various design methodologies are discussed to achieve our required low power design concepts
Optimal DC/AC Data Bus Inversion Coding
GDDR5 and DDR4 memories use data bus inversion (DBI) coding to reduce termination power and decrease the number of output transitions. Two main strategies exist for encoding data using DBI: DBI DC minimizes the number of outputs transmitting a zero, while DBI AC minimizes the number of signal transitions. We show that neither of these strategies is optimal and reduction of interface power of up to 6% can be achieved by taking both the number of zeros and the number of signal transitions into account when encoding the data. We then demonstrate that a hardware implementation of optimal DBI coding is feasible, results in a reduction of system power and requires only an insignificant additional die area.EC/H2020/688759/EU/Low-Power Parallel Computing on GPUs 2/LPGPU
Implementing video compression algorithms on reconfigurable devices
The increasing density offered by Field Programmable Gate Arrays(FPGA), coupled with their short design cycle, has made them a popular choice for implementing a wide range of algorithms and complete systems. In this thesis the implementation of video compression algorithms on FPGAs is studied. Two areas are specifically focused on; the integration of a video encoder into a complete
system and the power consumption of FPGA based video encoders.
Two FPGA based video compression systems are described, one which targets surveillance applications and one which targets video conferencing applications. The FPGA video surveillance system makes use of a novel memory format to
improve the efficiency with which input video sequences can be loaded over the system bus.
The power consumption of a FPGA video encoder is analyzed. The results indicating that the motion estimation encoder stage requires the most power consumption. An algorithm, which reuses the intra prediction results generated during the encoding process, is then proposed to reduce the power consumed on an FPGA video encoder’s external memory bus. Finally, the power reduction algorithm is implemented within an FPGA video encoder. Results are given showing that, in addition to reducing power on the external memory bus, the algorithm also reduces power in the motion estimation stage of a FPGA based video encoder
Network-on-Chip
Addresses the Challenges Associated with System-on-Chip Integration Network-on-Chip: The Next Generation of System-on-Chip Integration examines the current issues restricting chip-on-chip communication efficiency, and explores Network-on-chip (NoC), a promising alternative that equips designers with the capability to produce a scalable, reusable, and high-performance communication backbone by allowing for the integration of a large number of cores on a single system-on-chip (SoC). This book provides a basic overview of topics associated with NoC-based design: communication infrastructure design, communication methodology, evaluation framework, and mapping of applications onto NoC. It details the design and evaluation of different proposed NoC structures, low-power techniques, signal integrity and reliability issues, application mapping, testing, and future trends. Utilizing examples of chips that have been implemented in industry and academia, this text presents the full architectural design of components verified through implementation in industrial CAD tools. It describes NoC research and developments, incorporates theoretical proofs strengthening the analysis procedures, and includes algorithms used in NoC design and synthesis. In addition, it considers other upcoming NoC issues, such as low-power NoC design, signal integrity issues, NoC testing, reconfiguration, synthesis, and 3-D NoC design. This text comprises 12 chapters and covers: The evolution of NoC from SoC—its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems
Approximate energy-efficient encoding for serial interfaces
Serial buses are ubiquitous interconnections in embedded computing systems that are used to interface processing elements with peripherals, such as sensors, actuators, and I/O controllers. Despite their limited wiring, as off-chip connections they can account for a significant amount of the total power consumption of a system-on-chip device. Encoding the information sent on these buses is the most intuitive and affordable way to reduce their power contribution; moreover, the encoding can be made even more effective by exploiting the fact that many embedded applications can tolerate intermediate approximations without a significant impact on the final quality of results, thus trading off accuracy for power consumption. We propose a simple yet very effective approximate encoding for reducing dynamic energy in serial buses. Our approach uses differential encoding as a baseline scheme and extends it with bounded approximations to overcome the intrinsic limitations of differential encoding for data with low temporal correlation. We show that the proposed scheme, in addition to yielding extremely compact codecs, is superior to all state-of-the-art approximate serial encodings over a wide set of traces representing data received or sent from/to sensor or actuators
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