Parameter variation in scaled technologies beyond 90nm will pose a major challenge for design of future high performance microprocessors. In this paper, we discuss process, voltage and temperature variations; and their impact on circuit and microarchitecture. Possible solutions to reduce the impact of parameter variations and to achieve higher frequency bins are also presented.

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Parameter variations and impact on circuits and microarchitecture

The new era of cognitive computing brings forth the grand challenge of developing systems capable of processing massive amounts of noisy multisensory data. This type of intelligent computing poses a set of constraints, including real-time operation, low-power consumption and scalability, which require a radical departure from conventional system design. Brain-inspired architectures offer tremendous promise in this area. To this end, we developed TrueNorth, a 65 mW real-time neurosynaptic processor that implements a non-von Neumann, low-power, highly-parallel, scalable, and defect-tolerant architecture. With 4096 neurosynaptic cores, the TrueNorth chip contains 1 million digital neurons and 256 million synapses tightly interconnected by an event-driven routing infrastructure. The fully digital 5.4 billion transistor implementation leverages existing CMOS scaling trends, while ensuring one-to-one correspondence between hardware and software. With such aggressive design metrics and the TrueNorth architecture breaking path with prevailing architectures, it is clear that conventional computer-aided design (CAD) tools could not be used for the design. As a result, we developed a novel design methodology that includes mixed asynchronous–synchronous circuits and a complete tool flow for building an event-driven, low-power neurosynaptic chip. The TrueNorth chip is fully configurable in terms of connectivity and neural parameters to allow custom configurations for a wide range of cognitive and sensory perception applications. To reduce the system’s communication energy, we have adapted existing application-agnostic very large-scale integration CAD placement tools for mapping logical neural networks to the physical neurosynaptic core locations on the TrueNorth chips. With that, we have successfully demonstrated the use of TrueNorth-based systems in multiple applications, including visual object recognition, with higher performance and orders of magnitude lower power consumption than the same algorithms run on von Neumann architectures. The TrueNorth chip and its tool flow serve as building blocks for future cognitive systems, and give designers an opportunity to develop novel brain-inspired architectures and systems based on the knowledge obtained from this paper.

TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

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Design Of Analog Cmos Integrated Circuits

Principles of Asynchronous Circuit Design - A Systems Perspective addresses the need for an introductory text on asynchronous circuit design. Part I is an 8-chapter tutorial which addresses the most important issues for the beginner, including how to think about asynchronous systems. Part II is a 4-chapter introduction to Balsa, a freely-available synthesis system for asynchronous circuits which will enable the reader to get hands-on experience of designing high-level asynchronous systems. Part III offers a number of examples of state-of-the-art asynchronous systems to illustrate what can be built using asynchronous techniques. The examples range from a complete commercial smart card chip to complex microprocessors. The objective in writing this book has been to enable industrial designers with a background in conventional (clocked) design to be able to understand asynchronous design sufficiently to assess what it has to offer and whether it might be advantageous in their next design task.

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Principles of Asynchronous Circuit Design: A Systems Perspective

Asynchronous design has been an active area of research since at least the mid 1950's, but has yet to achieve widespread use. We examine the benefits and problems inherent in asynchronous computations, and in some of the more notable design methodologies. These include Huffman asynchronous circuits, burst-mode circuits, micropipelines, template-based and trace theory-based delay-insensitive circuits, signal transition graphs, change diagrams, and complication-based quasi-delay-insensitive circuits. >

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Asynchronous design methodologies: an overview

: Prejudices are as tenacious in science and engineering as in any other human activity. One of the most firmly held prejudices in digital VLSI design is that asynchronous circuits-a.k.a. self-timed or delay-insensitive circuits-are necessarily slow and wasteful in area and logic. Whereas asynchronous techniques would be appropriate for control, they would be inadequate for data paths because of the cost of dual-rail encoding of data, the cost of generating completion signals for write operations on registers, and the difficulty of designing self-timed buses. Because a general-purpose microprocessor contains a complex data path, a corollary of the previous opinion is that it is impossible to design an efficient asynchronous microprocessor. Since we have been developing a design method for asynchronous circuits that gives excellent results, and since the above objections to large-scale data path designs are genuine but untested, we decided to "pick up the gauntlet" and design a complete processor. The design of an asynchronous microprocessor poses new challenges and opens new avenues to the computer architect. Hence, the experiment unavoidably developed a dual purpose: We are refining an already well-tested design method and we are starting a new series of experiments in asynchronous architectures. (As far as we know, this is the first entirely asynchronous microprocessor ever built.) The results we are reporting have a different implication depending on whether they are related to the first or second goal of the experiment. Whereas we are convinced that our design methods have reached maturity, we are quite aware that asynchronous techniques may influence the computer architects in completely new ways that this first design is just starting to explore.

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The design of an asynchronous microprocessor

Analytical techniques are developed to determine the performance of asynchronous digital circuits. These techniques can be used to guide the designer during the synthesis of such a circuit, leading to a high-performance, efficient implementation. Optimization techniques are also developed that further improve this implementation by determining the optimal sizes of the low-level devices (CMOS transistors) that compose the circuit.
In order to determine the performance of an asynchronous circuit, it is first translated into an event-rule (ER) system, an abstract representation of the time dependencies (rules) between the primitive actions (events) of the circuit. This translation can be done from any of several different intermediate representations including: (i) a communicating sequential processes (CSP) program, (ii) a handshaking expansion, a refinement of the original CSP program in which all communication actions are replaced by explicit manipulations of boolean variables, (iii) a production rule set, a refinement of the handshaking expansion in which all sequencing is implemented by restricting concurrency, and (iv) a CMOS transistor network, a final representation from which the circuit can be fabricated.
The analysis techniques are based on linear programming and provide an accurate approximation of the absolute time at which each event in an ER system occurs. Efficient algorithms for performing this approximation are developed and proven correct. Numerous examples are provided. This approximation can be represented as a formula expressing the performance of the circuit in terms of certain design variables, such as the widths of the transistors in the final CMOS network. This formula can be evaluated at particular width values and thus can be used to determine the performance of a particular realization of the circuit. Furthermore, using the techniques of convex programming, optimal transistor widths can be determined.
The analysis techniques are applied to several large examples. Several implementations of first-in-first-out buffers are compared. A handshaking-expansion-level analysis of a simplified version of the Caltech Asynchronous Microprocessor is provided.

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Performance Analysis and Optimization of Asynchronous Circuits

Specialized hardware accelerators can significantly improve the performance and power efficiency of compute systems. In this paper, we focus on hardware accelerators for graph analytics applications and propose a configurable architecture template that is specifically optimized for iterative vertex-centric graph applications with irregular access patterns and asymmetric convergence. The proposed architecture addresses the limitations of the existing multi-core CPU and GPU architectures for these types of applications. The SystemC-based template we provide can be customized easily for different vertex-centric applications by inserting application-level data structures and functions. After that, a cycle-accurate simulator and RTL can be generated to model the target hardware accelerators. In our experiments, we study several graph-parallel applications, and show that the hardware accelerators generated by our template can outperform a 24 core high end server CPU system by up to 3x in terms of performance. We also estimate the area requirement and power consumption of these hardware accelerators through physical-aware logic synthesis, and show up to 65x better power consumption with significantly smaller area.

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Energy efficient architecture for graph analytics accelerators

We describe various design automation solutions for design migration to a dual-Vt process technology. We include the results of a Lagrangian relaxation based tool, iSTATS, and a heuristic iterative optimization flow. Joint dual-Vt allocation and sizing reduces total power by 10+% compared with Vt allocation alone, and by 25+% compared with pure sizing methods. The heuristic flow requires 5/spl times/ larger computation runtime than iSTATS due to its iterative nature.

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Total power optimization by simultaneous dual-Vt allocation and device sizing in high performance microprocessors

Circuit optimization is essential to minimize power consumption of designs while satisfying timing constraints. The CAD problem focused on in the ISPD-2012 Contest is simultaneous gate sizing and threshold voltage assignment. In this paper, we describe an overview of the contest objectives and the provided benchmark suite. Furthermore, some details are provided in terms of the standard cell library, timing models, and the evaluation metrics of the ISPD-2012 Contest.

Steven M. Burns

Papers

The design of an asynchronous microprocessor

Performance Analysis and Optimization of Asynchronous Circuits

Energy efficient architecture for graph analytics accelerators

Total power optimization by simultaneous dual-Vt allocation and device sizing in high performance microprocessors

The ISPD-2012 discrete cell sizing contest and benchmark suite