116 research outputs found
Effect of clock gating in conditional pulse enhancement flip-flop for low power applications
Flip-Flops (FFs) play a fundamental role in digital designs. A clock system consumes above 25% of total system power. The use of pulse-triggered flip-flops (P-FFs) in digital design provides better performance than conventional flip-flop designs. This paper presents the design of a new power-efficient implicit pulse-triggered flip-flop suitable for low power applications. This flip-flop architecture is embedded with two key features. Firstly, the enhancement in width and height of triggering pulses during specific conditions gives a solution for the longest discharging path problem in existing P-FFs. Secondly, the clock gating concept reduces unwanted switching activities at sleep/idle mode of operation and thereby reducing dynamic power consumption. The post-layout simulation results in cadence software based on CMOS 90-nm technology shows that the proposed design features less power dissipation and better power delay performance (PDP) when compared with conventional P-FFs. Its maximum power saving against conventional designs is up to 30.65%
Power Reductions with Energy Recovery Using Resonant Topologies
The problem of power densities in system-on-chips (SoCs) and processors has become more exacerbated recently, resulting in high cooling costs and reliability issues. One of the largest components of power consumption is the low skew clock distribution network (CDN), driving large load capacitance. This can consume as much as 70% of the total dynamic power that is lost as heat, needing elaborate sensing and cooling mechanisms. To mitigate this, resonant clocking has been utilized in several applications over the past decade. An improved energy recovering reconfigurable generalized series resonance (GSR) solution with all the critical support circuitry is developed in this work. This LC resonant clock driver is shown to save about 50% driver power (\u3e40% overall), on a 22nm process node and has 50% less skew than a non-resonant driver at 2GHz. It can operate down to 0.2GHz to support other energy savings techniques like dynamic voltage and frequency scaling (DVFS).
As an example, GSR can be configured for the simpler pulse series resonance (PSR) operation to enable further power saving for double data rate (DDR) applications, by using de-skewing latches instead of flip-flop banks. A PSR based subsystem for 40% savings in clocking power with 40% driver active area reduction xii is demonstrated. This new resonant driver generates tracking pulses at each transition of clock for dual edge operation across DVFS. PSR clocking is designed to drive explicit-pulsed latches with negative setup time. Simulations using 45nm IBM/PTM device and interconnect technology models, clocking 1024 flip-flops show the reductions, compared to non-resonant clocking. DVFS range from 2GHz/1.3V to 200MHz/0.5V is obtained. The PSR frequency is set \u3e3× the clock rate, needing only 1/10th the inductance of prior-art LC resonance schemes. The skew reductions are achieved without needing to increase the interconnect widths owing to negative set-up times.
Applications in data circuits are shown as well with a 90nm example. Parallel resonant and split-driver non-resonant configurations as well are derived from GSR. Tradeoffs in timing performance versus power, based on theoretical analysis, are compared for the first time and verified. This enables synthesis of an optimal topology for a given application from the GSR
Enhancing Microcomputer Edge Computing for Autonomous IoT Motion Control
Devices microprocessors, microcontrollers, and Field Programmable Gate Arrays (FPGA) play the core rule at the IoT edge level and it should be right provisioned. For proper controller performance, control algorithms should be implemented near the actuator eliminating the delay effects. In the IoT domain, this means to implement the mentioned algorithm at the edge level and prior data transmitting. The efficient IoT-enabled motion control can be obtained by considering two main factors; the first factor is from the actuator design point of view and the second factor is from the controller performance point of view. Therefore, in this article, the two mentioned factors are treated concerning the microprocessor rule and importance as a core for proper prototype design and as the main platform to implement the control algorithms. A comparison of controller performance indices for both prototypes is done using previously distributed motion control schemes and newly developed schemes after tuning the respective schemes gains in an optimal manner. The scheme with better behavior of both prototypes are selected for the IoT integration process, this scheme ensures optimal edge computing for the distributed motion control, making the implementation of all control computation take place at the IoT-edge level. As a result, the dynamic pipeline stages (DPS) based prototype gives better controller performance indices for most strategies, less power consumption, and optimally utilized resources encouraging the use of the microprocessors with reconfigurable components at the IoT-edge level
Design of variation-tolerant synchronizers for multiple clock and voltage domains
PhD ThesisParametric variability increasingly affects the performance of electronic circuits as
the fabrication technology has reached the level of 32nm and beyond. These
parameters may include transistor Process parameters (such as threshold
voltage), supply Voltage and Temperature (PVT), all of which could have a
significant impact on the speed and power consumption of the circuit, particularly
if the variations exceed the design margins. As systems are designed with more
asynchronous protocols, there is a need for highly robust synchronizers and
arbiters. These components are often used as interfaces between communication
links of different timing domains as well as sampling devices for asynchronous
inputs coming from external components. These applications have created a need
for new robust designs of synchronizers and arbiters that can tolerate process,
voltage and temperature variations.
The aim of this study was to investigate how synchronizers and arbiters should be
designed to tolerate parametric variations. All investigations focused mainly on
circuit-level and transistor level designs and were modeled and simulated in the
UMC90nm CMOS technology process. Analog simulations were used to measure
timing parameters and power consumption along with a “Monte Carlo” statistical
analysis to account for process variations.
Two main components of synchronizers and arbiters were primarily investigated:
flip-flop and mutual-exclusion element (MUTEX). Both components can violate the
input timing conditions, setup and hold window times, which could cause
metastability inside their bistable elements and possibly end in failures. The
mean-time between failures is an important reliability feature of any synchronizer
delay through the synchronizer.
The MUTEX study focused on the classical circuit, in addition to a number of
tolerance, based on increasing internal gain by adding current sources, reducing
the capacitive loading, boosting the transconductance of the latch, compensating
the existing Miller capacitance, and adding asymmetry to maneuver the metastable
point. The results showed that some circuits had little or almost no improvements,
while five techniques showed significant improvements by reducing τ and
maintaining high tolerance.
Three design approaches are proposed to provide variation-tolerant
synchronizers. wagging synchronizer proposed to First, the is significantly
increase reliability over that of the conventional two flip-flop synchronizer. The
robustness of the wagging technique can be enhanced by using robust τ latches or
adding one more cycle of synchronization. The second approach is the
Metastability Auto-Detection and Correction (MADAC) latch which relies on swiftly
detecting a metastable event and correcting it by enforcing the previously stored
logic value. This technique significantly reduces the resolution time down from
uncertain
synchronization technique is proposed to transfer signals between Multiple-
Voltage Multiple-Clock Domains (MVD/MCD) that do not require conventional
level-shifters between the domains or multiple power supplies within each
domain. This interface circuit uses a synchronous set and feedback reset protocol
which provides level-shifting and synchronization of all signals between the
domains, from a wide range of voltage-supplies and clock frequencies.
Overall, synchronizer circuits can tolerate variations to a greater extent by
employing the wagging technique or using a MADAC latch, while MUTEX tolerance
can suffice with small circuit modifications. Communication between MVD/MCD
can be achieved by an asynchronous handshake
without a need for adding level-shifters.The Saudi Arabian Embassy in London,
Umm Al-Qura University, Saudi Arabi
Timing-Error Tolerance Techniques for Low-Power DSP: Filters and Transforms
Low-power Digital Signal Processing (DSP) circuits are critical to commercial System-on-Chip design for battery powered devices. Dynamic Voltage Scaling (DVS) of digital circuits can reclaim worst-case supply voltage margins for delay variation, reducing power consumption. However, removing static margins without compromising robustness is tremendously challenging, especially in an era of escalating reliability concerns due to continued process scaling. The Razor DVS scheme addresses these concerns, by ensuring robustness using explicit timing-error detection and correction circuits. Nonetheless, the design of low-complexity and low-power error correction is often challenging. In this thesis, the Razor framework is applied to fixed-precision DSP filters and transforms. The inherent error tolerance of many DSP algorithms is exploited to achieve very low-overhead error correction. Novel error correction schemes for DSP datapaths are proposed, with very low-overhead circuit realisations. Two new approximate error correction approaches are proposed. The first is based on an adapted sum-of-products form that prevents errors in intermediate results reaching the output, while the second approach forces errors to occur only in less significant bits of each result by shaping the critical path distribution. A third approach is described that achieves exact error correction using time borrowing techniques on critical paths. Unlike previously published approaches, all three proposed are suitable for high clock frequency implementations, as demonstrated with fully placed and routed FIR, FFT and DCT implementations in 90nm and 32nm CMOS. Design issues and theoretical modelling are presented for each approach, along with SPICE simulation results demonstrating power savings of 21 – 29%. Finally, the design of a baseband transmitter in 32nm CMOS for the Spectrally Efficient FDM (SEFDM) system is presented. SEFDM systems offer bandwidth savings compared to Orthogonal FDM (OFDM), at the cost of increased complexity and power consumption, which is quantified with the first VLSI architecture
Circuit design and analysis for on-FPGA communication systems
On-chip communication system has emerged as a prominently important subject in Very-Large-
Scale-Integration (VLSI) design, as the trend of technology scaling favours logics more than interconnects.
Interconnects often dictates the system performance, and, therefore, research for new
methodologies and system architectures that deliver high-performance communication services
across the chip is mandatory. The interconnect challenge is exacerbated in Field-Programmable
Gate Array (FPGA), as a type of ASIC where the hardware can be programmed post-fabrication.
Communication across an FPGA will be deteriorating as a result of interconnect scaling. The programmable
fabrics, switches and the specific routing architecture also introduce additional latency
and bandwidth degradation further hindering intra-chip communication performance.
Past research efforts mainly focused on optimizing logic elements and functional units in FPGAs.
Communication with programmable interconnect received little attention and is inadequately understood.
This thesis is among the first to research on-chip communication systems that are built on
top of programmable fabrics and proposes methodologies to maximize the interconnect throughput
performance. There are three major contributions in this thesis: (i) an analysis of on-chip
interconnect fringing, which degrades the bandwidth of communication channels due to routing
congestions in reconfigurable architectures; (ii) a new analogue wave signalling scheme that significantly
improves the interconnect throughput by exploiting the fundamental electrical characteristics
of the reconfigurable interconnect structures. This new scheme can potentially mitigate
the interconnect scaling challenges. (iii) a novel Dynamic Programming (DP)-network to provide
adaptive routing in network-on-chip (NoC) systems. The DP-network architecture performs runtime
optimization for route planning and dynamic routing which, effectively utilizes the in-silicon
bandwidth. This thesis explores a new horizon in reconfigurable system design, in which new
methodologies and concepts are proposed to enhance the on-FPGA communication throughput
performance that is of vital importance in new technology processes
Design and characterisation of a ferroelectric liquid crystal over silicon spatial light modulator
Many optical processing systems rely critically on the availability of high
performance, electrically-addressed spatial light modulators. Ferroelectric liquid
crystal over silicon is an attractive spatial light modulator technology because it
combines two well matched technologies. Ferroelectric liquid crystal modulating
materials exhibit fast switching times with low operating voltages, while very
large scale silicon integrated circuits offer high-frequency, low power operation,
and versatile functionality.
This thesis describes the design and characterisation of the SBS256 - a general
purpose 256 x 256 pixel ferroelectric liquid crystal over silicon spatial light modulator
that incorporates a static-RAM latch and an exclusive-OR gate at each
pixel. The static-RAM latch provides robust data storage under high read-beam
intensities, while the exclusive-OR gate permits the liquid crystal layer to be fully
and efficiently charge balanced.
The SBS256 spatial light modulator operates in a binary mode. However,
many applications, including helmet-mounted displays and optoelectronic implementations
of artificial neural networks, require devices with some level of
grey-scale capability. The 2 kHz frame rate of the device, permits temporal multiplexing
to be used as a means of generating discrete grey-scale in real-time.
A second integrated circuit design is also presented. This prototype neuraldetector
backplane consists of a 4 x 4 array of optical-in, electronic-out processing
units. These can sample the temporally multiplexed grey-scale generated by the
SBS256. The neurons implement the post-synaptic summing and thresholding
function, and can respond to both positive and negative activations - a requirement
of many artificial neural network models
Energy efficient hybrid computing systems using spin devices
Emerging spin-devices like magnetic tunnel junctions (MTJ\u27s), spin-valves and domain wall magnets (DWM) have opened new avenues for spin-based logic design. This work explored potential computing applications which can exploit such devices for higher energy-efficiency and performance. The proposed applications involve hybrid design schemes, where charge-based devices supplement the spin-devices, to gain large benefits at the system level. As an example, lateral spin valves (LSV) involve switching of nanomagnets using spin-polarized current injection through a metallic channel such as Cu. Such spin-torque based devices possess several interesting properties that can be exploited for ultra-low power computation. Analog characteristic of spin current facilitate non-Boolean computation like majority evaluation that can be used to model a neuron. The magneto-metallic neurons can operate at ultra-low terminal voltage of ∼20mV, thereby resulting in small computation power. Moreover, since nano-magnets inherently act as memory elements, these devices can facilitate integration of logic and memory in interesting ways. The spin based neurons can be integrated with CMOS and other emerging devices leading to different classes of neuromorphic/non-Von-Neumann architectures. The spin-based designs involve `mixed-mode\u27 processing and hence can provide very compact and ultra-low energy solutions for complex computation blocks, both digital as well as analog. Such low-power, hybrid designs can be suitable for various data processing applications like cognitive computing, associative memory, and currentmode on-chip global interconnects. Simulation results for these applications based on device-circuit co-simulation framework predict more than ∼100x improvement in computation energy as compared to state of the art CMOS design, for optimal spin-device parameters
The Fifth NASA Symposium on VLSI Design
The fifth annual NASA Symposium on VLSI Design had 13 sessions including Radiation Effects, Architectures, Mixed Signal, Design Techniques, Fault Testing, Synthesis, Signal Processing, and other Featured Presentations. The symposium provides insights into developments in VLSI and digital systems which can be used to increase data systems performance. The presentations share insights into next generation advances that will serve as a basis for future VLSI design
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