Conversion Driven Design of Binary to Mixed Radix Circuits - PowerPoint PPT Presentation

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Conversion Driven Design of Binary to Mixed Radix Circuits

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Conversion Driven Design of Binary to Mixed Radix Circuits Ashur Rafiev, Julian Murphy, Danil Sokolov, Alex Yakovlev School of EECE, Newcastle University, UK – PowerPoint PPT presentation

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Title: Conversion Driven Design of Binary to Mixed Radix Circuits


1
Conversion Driven Design of Binary to Mixed
Radix Circuits
  • Ashur Rafiev, Julian Murphy, Danil Sokolov, Alex
    Yakovlev
  • School of EECE, Newcastle University, UK
  • ashur.rafiev, j.p.murphy, danil.sokolov,
    alex.yakovlev _at_ ncl.ac.uk

2
Outline
  • Switching Balanced Codes
  • Conversion Driven Design (CDD)
  • Motivation
  • Conversion Basics
  • Bitwise Approach
  • Bitwise Gate Grouping Algorithm
  • Artificial Combinational Loops Problem
  • Operandwise Approach
  • Operandwise Gate Grouping Algorithm
  • Benchmark Results
  • Conclusions

Outline
3
Switching Balanced Codes
  • M-of-N data encoding data signal is represented
    with
  • N wires
  • M of them are active (high)
  • Return-to-zero (RTZ) protocol data signals are
    separated with dummy signals (spacers)
  • Application areas
  • Security
  • Asynchronous system design
  • Network-on-chip communication

Switching Balanced Codes
4
1-of-2 (Dual-Rail) and 1-of-4 Encodings
multi-valued single-rail (binary) dual-rail 1-of-4
0 1 2 3 00 01 10 11 01 01 01 10 10 01 10 10 0001 0010 0100 1000
NULL spacer 00 00 0000
5
Outline
  • Switching Balanced Codes
  • Conversion Driven Design
  • Motivation
  • Conversion Basics
  • Bitwise Approach
  • Bitwise Gate Grouping Algorithm
  • Artificial Combinational Loops Problem
  • Operandwise Approach
  • Operandwise Gate Grouping Algorithm
  • Benchmark Results
  • Conclusions

Outline
6
Conversion Driven Design Motivation
  • Higher radix signals consume less power and
    reduce cross-talk effect
  • Require multi-valued logic synthesis
  • Some tools and techniques already exist (e.g.
    MV-SIS)
  • Moving away from the RTL design flow is
    frequently frowned upon by industry
  • Reuse existing popular design tools for
    multi-valued system design

7
Conversion Driven Design Flow
Convert to mixed radix component level design
8
Conversion Basics
Original binary datapath is given as a structural
HDL netlist.
Pairs of binary signals can be grouped into
quaternary.
Certain part of the circuit may remain binary.
9
Conversion Basics
  • Signal converters
  • A splitter converts one quaternary signal into
    two binary.
  • A mixer converts two binary signals into one
    quaternary.
  • The way the signals (gates) are grouped
    determines the efficiency of the conversion,
    therefore the conversion problem corresponds
    directly to the gate grouping problem.

10
Outline
  • Switching Balanced Codes
  • Conversion Driven Design
  • Motivation
  • Conversion Basics
  • Bitwise Approach
  • Bitwise Gate Grouping Algorithm
  • Artificial Combinational Loops Problem
  • Operandwise Approach
  • Operandwise Gate Grouping Algorithm
  • Benchmark Results
  • Conclusions

Outline
11
Bitwise Gate Grouping
AA0, A1 BB0, B1 Q Q0, Q1 Q AB Q0
A0B0 Q1 A1B1
a bitwise quaternary component
12
Bitwise Gate Grouping Algorithm
  • Uses heuristics to extract bitwise meaning of
    signals from the flat netlist.
  • Input and output port grouping is given
  • Algorithm is iterative, based on breadth-first
    search
  • Bitwise Regularity Ratio is used as an estimation
    criteria. It is calculated for each gate pair on
    each iteration.
  • Bitwise Regularity Ratio (BRR) depends on how
    many quaternary links a pair of gates can form
    with respect to the state of the conversion on
    the given iteration.

13
Bitwise Gate Grouping Algorithm Example
original circuit
converted circuit
mixed radix components are shown as black boxes
14
Artificial Combinational Loops
  • Combinational loops can appear during the bitwise
    conversion while the original circuit is free of
    combinational loops.
  • Need special methodology to handle. Problems
  • If mixers wait for valid data from both inputs
    deadlock.
  • If mixers produce output regardless to spacers
    invalid output.
  • A signal should pass artificial combinational
    loop exactly 2 times before it produce a valid
    output.

15
Bitwise Gate Grouping
  • Disadvantages of the algorithm
  • Computational cost O(N) 2N2log22N, N is a
    number of gates in the original circuit.
  • Disadvantages of the approach
  • Inefficient for circuits without bitwise nature
    of signals, e.g.S-boxes.
  • The algorithm can produce combinational loops.
  • Bitwise (naive) approach is inefficient for CDD.

16
Outline
  • Switching Balanced Codes
  • Conversion Driven Design
  • Motivation
  • Conversion Basics
  • Bitwise Approach
  • Bitwise Gate Grouping Algorithm
  • Artificial Combinational Loops Problem
  • Operandwise Approach
  • Operandwise Gate Grouping Algorithm
  • Benchmark Results
  • Conclusions

Outline
17
Operandwise Gate Grouping
a bitwise quaternary component
an operandwise quaternary component
  • Bitwise grouping is derived from the functional
    meaning of signals.
  • Operandwise grouping is derived from the
    structural positioning of gates works with
    2-input gates only.

18
Binary Trees Approach
For binary tree structures within a netlist we
can group inputs and outputs of gates to perform
an operandwise grouping.
19
Binary Trees Approach
Signals cannot be shared between groups, because
it leads to duplication of gates. Gates with
multiple fanout block operandwise grouping.
Remain binary
20
Quaternary-to-Binary Gates (Q/B Gates)
Q/B gate a gate with one quaternary input and
one binary output.
21
Quaternary-to-Binary Gates (Q/B Gates)
  • A Q/B gate is a mixed radix component.
  • A Q/B gate is an incomplete operandwise group.
  • It can replace a splitter followed by a binary
    gate.

22
Operandwise Gate Grouping Algorithm
  • Phase I group all signals regardless of gate
    fanouts (some gates will be duplicated).
  • Output ports can be grouped arbitrarily.
  • Phase II analyse duplicates and discard groups
    leading to duplication.
  • Phase III insert signal converters and Q/B
    gates.
  • Computational cost of the algorithm is O(N) 3N,
    where N is a number of gates in the original
    circuit.

23
Operandwise Gate Grouping Algorithm Example
original circuit
converted circuit
Phase I
Phase II
Phase III
24
Operandwise Gate Grouping
  • Advantages of the algorithm
  • Low computational cost.
  • It is highly modular one can add more passes to
    the algorithm to increase efficiency of the
    conversion.
  • Disadvantages of the algorithm
  • Can produce significant fractioning of binary
    and quaternary parts of the circuit increasing
    the number of signal converters required.

25
Benchmark Results
circuit dual-rail dual-rail dual-rail mixed radix dual-rail, 1-of-4 mixed radix dual-rail, 1-of-4 mixed radix dual-rail, 1-of-4
circuit switching wires switching energy switching energy switching wires switching energy switching energy
circuit switching wires average std. dev switching wires average std. dev
2-bit adder 20 11.13 0.2661 14 10.66 0.0000
16-bit ripple carry adder 160 86.31 0.9803 84 75.72 0.0000
4-bit multiplier 56 30.08 0.5247 58 38.72 0.1074
Kasumi S-box7 250 139.13 3.4908 264 144.98 0.6993
Kasumi S-box9 256 146.51 3.7947 264 137.12 1.2070
Kasumi S-box9 300 169.56 1.3448 326 187.96 0.7809
AES S-box 1594 818.56 1.1914 1640 1116.03 0.4870
original single-rail circuits were optimised in
Synopsys.
26
Outline
  • Switching Balanced Codes
  • Conversion Driven Design
  • Motivation
  • Conversion Basics
  • Bitwise Approach
  • Bitwise Gate Grouping Algorithm
  • Artificial Combinational Loops Problem
  • Operandwise Approach
  • Operandwise Gate Grouping Algorithm
  • Benchmark Results
  • Conclusions

Outline
27
Conclusions
  • Conversion driven design technique was suggested
    in order to reuse popular EDA tools for MVL
    synthesis.
  • Binary and quaternary mixed radix was selected to
    improve the efficiency of the conversion.
  • Two conversion (gate grouping) algorithms were
    implemented and analysed.
  • Bitwise approach is not efficient for CDD
  • Operandwise approach is fast and flexible but not
    efficient enough in terms of saving switching
    energy.
  • Future work
  • Improve operandwise component implementations.
  • Add more heuristics to the operandwise algorithm
    to increase the efficiency of the conversion.

28
The End
  • Thank you!
  • Questions?
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