Low power predictable memory and processing architectures

Great demand in power optimized devices shows promising economic potential and draws lots of attention in industry and research area. Due to the continuously shrinking CMOS process, not only dynamic power but also static power has emerged as a big concern in power reduction. Other than power optimization, average-case power estimation is quite significant for power budget allocation but also challenging in terms of time and effort. In this thesis, we will introduce a methodology to support modular quantitative analysis in order to estimate average power of circuits, on the basis of two concepts named Random Bag Preserving and Linear Compositionality. It can shorten simulation time and sustain high accuracy, resulting in increasing the feasibility of power estimation of big systems. For power saving, firstly, we take advantages of the low power characteristic of adiabatic logic and asynchronous logic to achieve ultra-low dynamic and static power. We will propose two memory cells, which could run in adiabatic and non-adiabatic mode. About 90% dynamic power can be saved in adiabatic mode when compared to other up-to-date designs. About 90% leakage power is saved. Secondly, a novel logic, named Asynchronous Charge Sharing Logic (ACSL), will be introduced. The realization of completion detection is simplified considerably. Not just the power reduction improvement, ACSL brings another promising feature in average power estimation called data-independency where this characteristic would make power estimation effortless and be meaningful for modular quantitative average case analysis. Finally, a new asynchronous Arithmetic Logic Unit (ALU) with a ripple carry adder implemented using the logically reversible/bidirectional characteristic exhibiting ultra-low power dissipation with sub-threshold region operating point will be presented. The proposed adder is able to operate multi-functionally

HOPE: Holistic STT-RAM Architecture Exploration Framework for Future Cross-Platform Analysis

Spin Transfer Torque Random Access Memory (STT-RAM) is an emerging Non-Volatile Memory (NVM) technology that has garnered attention to overcome the drawbacks of conventional CMOS-based technologies. However, such technologies must be evaluated before deployment under real workloads and architecture. But there is a lack of available open-source STT-RAM-based system evaluation framework, which hampers research and experimentation and impacts the adoption of STT- RAM in a system. This paper proposes a novel, extendable STT-RAM memory controller design integrated inside the gem5 simulator. Our framework enables understanding various aspects of STT-RAM, i.e., power, delay, clock cycles, energy, and system throughput. We will open-source our HOPE framework, which will fuel research and aid in accelerating the development of future system architectures based on STT-RAM. It will also facilitate the user for further tool enhancement

Design of robust spin-transfer torque magnetic random access memories for ultralow power high performance on-chip cache applications

Spin-transfer torque magnetic random access memories (STT-MRAMs) based on magnetic tunnel junction (MTJ) has become the leading candidate for future universal memory technology due to its potential for low power, non-volatile, high speed and extremely good endurance. However, conflicting read and write requirements exist in STT-MRAM technology because the current path during read and write operations are the same. Read and write failures of STT-MRAMs are degraded further under process variations. The focus of this dissertation is to optimize the yield of STT- MRAMs under process variations by employing device-circuit-architecture co-design techniques. A devices-to-systems simulation framework was developed to evaluate the effectiveness of the techniques proposed in this dissertation. An optimization methodology for minimizing the failure probability of 1T-1MTJ STT-MRAM bit-cell by proper selection of bit-cell configuration and access transistor sizing is also proposed. A failure mitigation technique using assistsin 1T-1MTJ STT-MRAM bit-cells is also proposed and discussed. Assist techniques proposed in this dissertation to mitigate write failures either increase the amount of current available to switch the MTJ during write or decrease the required current to switch the MTJ. These techniques achieve significant reduction in bit-cell area and write power with minimal impact on bit-cell failure probability and read power. However, the proposed write assist techniques may be less effective in scaled STT-MRAM bit-cells. Furthermore, read failures need to be overcome and hence, read assist techniques are required. It has been experimentally demonstrated that a class of materials called multiferroics can enable manipulation of magnetization using electric fields via magnetoelectric effects. A read assist technique using an MTJ structure incorporating multiferroic materials is proposed and analyzed. It was found that it is very difficult to overcome the fundamental design issues with 1T-1MTJ STT-MRAM due to the two-terminal nature of the MTJ. Hence, multi-terminal MTJ structures consisting of complementary polarized pinned layers are proposed. Analysis of the proposed MTJ structures shows significant improvement in bit-cell failures. Finally, this dissertation explores two system-level applications enabled by STT-MRAMs, and shows that device-circuit-architecture co-design of STT-MRAMs is required to fully exploit its benefits

Study and development of innovative strategies for energy-efficient cross-layer design of digital VLSI systems based on Approximate Computing

The increasing demand on requirements for high performance and energy efficiency in modern digital systems has led to the research of new design approaches that are able to go beyond the established energy-performance tradeoff. Looking at scientific literature, the Approximate Computing paradigm has been particularly prolific. Many applications in the domain of signal processing, multimedia, computer vision, machine learning are known to be particularly resilient to errors occurring on their input data and during computation, producing outputs that, although degraded, are still largely acceptable from the point of view of quality. The Approximate Computing design paradigm leverages the characteristics of this group of applications to develop circuits, architectures, algorithms that, by relaxing design constraints, perform their computations in an approximate or inexact manner reducing energy consumption. This PhD research aims to explore the design of hardware/software architectures based on Approximate Computing techniques, filling the gap in literature regarding effective applicability and deriving a systematic methodology to characterize its benefits and tradeoffs. The main contributions of this work are: -the introduction of approximate memory management inside the Linux OS, allowing dynamic allocation and de-allocation of approximate memory at user level, as for normal exact memory; - the development of an emulation environment for platforms with approximate memory units, where faults are injected during the simulation based on models that reproduce the effects on memory cells of circuital and architectural techniques for approximate memories; -the implementation and analysis of the impact of approximate memory hardware on real applications: the H.264 video encoder, internally modified to allocate selected data buffers in approximate memory, and signal processing applications (digital filter) using approximate memory for input/output buffers and tap registers; -the development of a fully reconfigurable and combinatorial floating point unit, which can work with reduced precision formats

On the road towards robust and ultra low energy CMOS digital circuits using sub/near threshold power supply

Ph.DNUS-TU/E JOINT PH.D. PROGRAMM

Methods for Robust and Energy-Efficient Microprocessor Architectures

Σήμερα, η εξέλιξη της τεχνολογίας επιτρέπει τη βελτίωση τριών βασικών στοιχείων της σχεδίασης των επεξεργαστών: αυξημένες επιδόσεις, χαμηλότερη κατανάλωση ισχύος και χαμηλότερο κόστος παραγωγής του τσιπ, ενώ οι σχεδιαστές επεξεργαστών έχουν επικεντρωθεί στην παραγωγή επεξεργαστών με περισσότερες λειτουργίες σε χαμηλότερο κόστος. Οι σημερινοί επεξεργαστές είναι πολύ ταχύτεροι και διαθέτουν εξελιγμένες λειτουργικές μονάδες συγκριτικά με τους προκατόχους τους, ωστόσο, καταναλώνουν αρκετά μεγάλη ενέργεια. Τα ποσά ηλεκτρικής ισχύος που καταναλώνονται, και η επακόλουθη έκλυση θερμότητας, αυξάνονται παρά τη μείωση του μεγέθους των τρανζίστορ. Αναπτύσσοντας όλο και πιο εξελιγμένους μηχανισμούς και λειτουργικές μονάδες για την αύξηση της απόδοσης και βελτίωση της ενέργειας, σε συνδυασμό με τη μείωση του μεγέθους των τρανζίστορ, οι επεξεργαστές έχουν γίνει εξαιρετικά πολύπλοκα συστήματα, καθιστώντας τη διαδικασία της επικύρωσής τους σημαντική πρόκληση για τη βιομηχανία ολοκληρωμένων κυκλωμάτων. Συνεπώς, οι κατασκευαστές επεξεργαστών αφιερώνουν επιπλέον χρόνο, προϋπολογισμό και χώρο στο τσιπ για να διασφαλίσουν ότι οι επεξεργαστές θα λειτουργούν σωστά κατά τη διάθεσή τους στη αγορά. Για τους λόγους αυτούς, η εργασία αυτή παρουσιάζει νέες μεθόδους για την επιτάχυνση και τη βελτίωση της φάσης της επικύρωσης, καθώς και για τη βελτίωση της ενεργειακής απόδοσης των σύγχρονων επεξεργαστών. Στο πρώτο μέρος της διατριβής προτείνονται δύο διαφορετικές μέθοδοι για την επικύρωση του επεξεργαστή, οι οποίες συμβάλλουν στην επιτάχυνση αυτής της διαδικασίας και στην αποκάλυψη σπάνιων σφαλμάτων στους μηχανισμούς μετάφρασης διευθύνσεων των σύγχρονων επεξεργαστών. Και οι δύο μέθοδοι καθιστούν ευκολότερη την ανίχνευση και τη διάγνωση σφαλμάτων, και επιταχύνουν την ανίχνευση του σφάλματος κατά τη φάση της επικύρωσης. Στο δεύτερο μέρος της διατριβής παρουσιάζεται μια λεπτομερής μελέτη χαρακτηρισμού των περιθωρίων τάσης σε επίπεδο συστήματος σε δύο σύγχρονους ARMv8 επεξεργαστές. Η μελέτη του χαρακτηρισμού προσδιορίζει τα αυξημένα περιθώρια τάσης που έχουν προκαθοριστεί κατά τη διάρκεια κατασκευής του κάθε μεμονωμένου πυρήνα του επεξεργαστή και αναλύει τυχόν απρόβλεπτες συμπεριφορές που μπορεί να προκύψουν σε συνθήκες μειωμένης τάσης. Για την μελέτη και καταγραφή της συμπεριφοράς του συστήματος υπό συνθήκες μειωμένης τάσης, παρουσιάζεται επίσης σε αυτή τη διατριβή μια απλή και ενοποιημένη συνάρτηση: η συνάρτηση πυκνότητας-σοβαρότητας. Στη συνέχεια, παρουσιάζεται αναλυτικά η ανάπτυξη ειδικά σχεδιασμένων προγραμμάτων (micro-viruses) τα οποία υποβάλουν της θεμελιώδεις δομές του επεξεργαστή σε μεγάλο φορτίο εργασίας. Αυτά τα προγράμματα στοχεύουν στην γρήγορη αναγνώριση των ασφαλών περιθωρίων τάσης. Τέλος, πραγματοποιείται ο χαρακτηρισμός των περιθωρίων τάσης σε εκτελέσεις πολλαπλών πυρήνων, καθώς επίσης και σε διαφορετικές συχνότητες, και προτείνεται ένα πρόγραμμα το οποίο εκμεταλλεύεται όλες τις διαφορετικές πτυχές του προβλήματος της κατανάλωσης ενέργειας και παρέχει μεγάλη εξοικονόμηση ενέργειας διατηρώντας παράλληλα υψηλά επίπεδα απόδοσης. Αυτή η μελέτη έχει ως στόχο τον εντοπισμό και την ανάλυση της σχέσης μεταξύ ενέργειας και απόδοσης σε διαφορετικούς συνδυασμούς τάσης και συχνότητας, καθώς και σε διαφορετικό αριθμό νημάτων/διεργασιών που εκτελούνται στο σύστημα, αλλά και κατανομής των προγραμμάτων στους διαθέσιμους πυρήνες.Technology scaling has enabled improvements in the three major design optimization objectives: increased performance, lower power consumption, and lower die cost, while system design has focused on bringing more functionality into products at lower cost. While today's microprocessors, are much faster and much more versatile than their predecessors, they also consume much power. As operating frequency and integration density increase, the total chip power dissipation increases. This is evident from the fact that due to the demand for increased functionality on a single chip, more and more transistors are being packed on a single die and hence, the switching frequency increases in every technology generation. However, by developing aggressive and sophisticated mechanisms to boost performance and to enhance the energy efficiency in conjunction with the decrease of the size of transistors, microprocessors have become extremely complex systems, making the microprocessor verification and manufacturing testing a major challenge for the semiconductor industry. Manufacturers, therefore, choose to spend extra effort, time, budget and chip area to ensure that the delivered products are operating correctly. To meet high-dependability requirements, manufacturers apply a sequence of verification tasks throughout the entire life-cycle of the microprocessor to ensure the correct functionality of the microprocessor chips from the various types of errors that may occur after the products are released to the market. To this end, this work presents novel methods for ensuring the correctness of the microprocessor during the post-silicon validation phase and for improving the energy efficiency requirements of modern microprocessors. These methods can be applied during the prototyping phase of the microprocessors or after their release to the market. More specifically, in the first part of the thesis, we present and describe two different ISA-independent software-based post-silicon validation methods, which contribute to formalization and modeling as well as the acceleration of the post-silicon validation process and expose difficult-to-find bugs in the address translation mechanisms (ATM) of modern microprocessors. Both methods improve the detection and diagnosis of a hardware design bug in the ATM structures and significantly accelerate the bug detection during the post-silicon validation phase. In the second part of the thesis we present a detailed system-level voltage scaling characterization study for two state-of-the-art ARMv8-based multicore CPUs. We present an extensive characterization study which identifies the pessimistic voltage guardbands (the increased voltage margins set by the manufacturer) of each individual microprocessor core and analyze any abnormal behavior that may occur in off-nominal voltage conditions. Towards the formalization of the any abnormal behavior we also present a simple consolidated function; the Severity function, which aggregates the effects of reduced voltage operation. We then introduce the development of dedicated programs (diagnostic micro-viruses) that aim to accelerate the time-consuming voltage margins characterization studies by stressing the fundamental hardware components. Finally, we present a comprehensive exploration of how two server-grade systems behave in different frequency and core allocation configurations beyond nominal voltage operation in multicore executions. This analysis aims (1) to identify the best performance per watt operation points, (2) to reveal how and why the different core allocation options affect the energy consumption, and (3) to enhance the default Linux scheduler to take task allocation decisions for balanced performance and energy efficiency

Site-Resolved Imaging with the Fermi Gas Microscope

The recent development of quantum gas microscopy for bosonic rubidium atoms trapped in optical lattices has made it possible to study local structure and correlations in quantum many-body systems.Physic