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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 1
SELF-CHECKING APPROACH FOR REDUCING SOFT ERRORS IN
STATES OF FSM
B.Adichenchaiah1
, S.Arunamastani2
1
M.tech, ECE Department, JNTUACEA, Ananthapur, Andhra Pradesh, India
2
Assistant Professor, ECE Department, JNTUACEA, Ananthapur, Andhra Pradesh, India
Abstract
Due to reduction in device feature size and supply voltages the probability of soft-errors in Finite State Machines’ (FSMs) states has
increased dramatically, and the protection against both Single Event Upset (SEU) and Multiple Bit Upsets (MBUs) soft-errors
demand for design of fault tolerant FSMs that detect and correct more than one error. Redundancy has been mostly preferred
methodology for Error Detection and Correction (EDAC), however selection of one EDAC method is a trade-off between performance
and hardware overhead. In this paper, we present an SEU/MEU hardening approach for FSMs’ states through ‘binary-gray’ code for
state encoding and a self-checking process that can detect and correct the soft errors in FSM states. Here 8 bit register is used to
store the FSM states using ‘binary-gray’ code, this approach can detect errors until the integer value of binary is not equal to integer
value of gray for error state, which is a sparse situation. The little overhead of hardware provided by the self checking block
implemented in FSM gives 100% error correction. The Experimentation is performed on a 16 state FSM through bit flip fault
injection. The simulation results of bit-flip injection into the FSMs’ state registers are analyzed and compared with the existing one-
hot × m & self-checking method [1].
Keywords - FSMs, SEU, MBUs, EDAC
--------------------------------------------------------------------------***--------------------------------------------------------------------------
1. INTRODUCTION
The operation of FSM‟s produced in nanometre technology and
supply voltages decreases. These causes the decrease of cut off
charge, which makes the storage cells (flip-flops, memories
etc.,) be more likely to get flipped due to Single Event Upsets
(SEUs) [2]-[3]. Multiple Bit Upsets (MBUs) induces in
adjacent storage cells becomes higher as circuit density [4]-[5].
So, it is important to design hardened FSMs against soft-errors.
Sequential circuit is the circuit that depends on the past
behaviour of the circuit, as well as on present values of the
inputs. Sequential circuits are also called as FINITE STATE
MACHINES (FSMs). Generally FSMs are classified into two
types
1. Mealy machines,
2. Moore machines.
A Mealy FSM is a state machine where the outputs are function
of present state and inputs and a Moore FSM is a state machine
where the outputs are only function of inputs. For both these
types the output logic and next state logic are combinational
circuits and the state registers are composed of several flip-flops
to store the current state.
The soft errors occurred in state register may make an FSM fall
into un- defined state [6] and then FSM goes to sudden reset. So
it is important to concentrate on FSM states against soft-errors
propagation has to be solved otherwise technology will be
blocked soon. In present technology 16-state FSMs are large
state machines in digital circuits. So here we are taking a 16-
stae FSM for the experimentation against soft-errors. This FSM
is vending that has only one input coin slot that accepts only one
rupee coins as inputs and after accepting a sixteen one rupee
coins it will give the output that may be a any product. The
block diagram of the FSM and its state table as shown in Fig. 1
(a)
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 2
Table 1: State Table
Present-
state
Next_State
q-in=0 q-
in=1
Out
put
S0 So S1 0
S1 S1 S2 0
S2 S2 S3 0
S3 S3 S4 0
S4 S4 S5 0
S5 S5 S6 0
S6 S6 S7 0
S7 S7 S8 0
S8 S8 S9 0
S9 S9 S10 0
S10 S10 S11 0
S11 S11 S12 0
S12 S12 S13 0
S13 S13 S14 0
S14 S14 S15 0
S15 S15 S0 1
(b)
Fig 1 (a) Block diagram (b) State table, for 16-state FSM
To protect the FSM‟s states against soft-errors some approaches
are implemented based on redundancy techniques such as
EDAC methods. As probability of SEU and MBUs increases
design a fault tolerant FSMs requires more than single error
correction and detection. In the One-Hot×m &self-checking
method, Here an soft-errors hardening approach for FSMs states
through replicating of one hot code 3 times (one-hot×3) for state
encoding and self-checking. So for an FSM containing 16
states, a state register of size 16×3 that is 48 flip-flops are
needed. This approach has able correct only less than 3 bit-flip
faults occurred in state register of size 48 flip-flops per cycle.
Here we propose a new approach to enhance the protection of
FSM‟s states against soft-errors. In this approach a new
encoding technique is called ‟binary-gray‟ code is used to
represent the states of FSM. So for an FSM containing 16
states, only a state register with size 2×4 that is 8 flip-flops are
needed and for error detecting and correcting in state register a
additional self-checking combinational circuit is involved to
retrieve the correct next state logic for error state. This
approach can detect errors until the integer value of binary is
not equal to integer value of gray for error state and gives 100%
error correction for error state.
This section provides an overview of the work presented in this
paper. The rest of this paper is organized as follows. Section 2
briefly describes the One-Hot × M & self-checking method and
its limitation. Section 3 describes the proposed method. Section
4 deals simulation results and discussions followed by
conclusions.
2. ONE-HOT×M & SELF-CHECKING METHOD
The replication of one-hot code method [1] presents an
SEU/MBUs hardening approach for FSMs‟ states. In this
approach a replication of One-Hot code is used to represent the
states of FSM and a combinational logic is involved for Self-
Checking of SEU/MBUs in states of FSM.
2.1 One-Hot×3 Code
To protect the FSM states against SEU/MBUs a replication of
One-Hot code is used for state encoding. A three times
replication of One-Hot code (One-Hot×3) for S1 state for 16-
state FSM is represented in Fig. 2. It requires 48 bits to
represent the 16 state FSM.
Fig 2 The 3 times replication of One-Hot code (One-Hot ×3)
Each bit of the original One-Hot code is copied 3 times and
expanded to a group.
These 48 bits are divided into 16 groups, one ALL-HIGH group
and 15 ALL-LOW group. In the hardware implementation, it
requires one flip-flop to store one bit of each group. Hence a
state register containing 16×3 that is 48 flip-flops are needed for
16-state FSM. In general for M times replication for 16-state
FSM it requires a state register that containing 16×M flip-flops.
2.2 Self-Checking Circuit
In addition a Self-Checking combinational logic is involved
within in the FSM to correct the SEU/MBUs in the states of
FSM. This Self-Checking block is designed for identifying
which group contains most bits HIGH, and this result is used for
generating the hardened One-Hot state value for the output logic
and next state logic. One-hot×3 and its self-checking block for
16-state FSM is in Fig.1. is illustrated in Fig.3.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 3
Input
Next-State
Logic
1
7
16
1
7
16
Next State
(One-Hot)
FF 1-1
FF 1-2
FF 1-3
FF 7-1
FF 7-2
FF 7-M
FF 16-1
FF 16-2
FF 16-3
Self
Checking
Output
logic
Output
LOW
HIGH
LOW
Next_Hard
(One-Hot)
ALL-HIGH
group
ALL-LOW
group
FF
FF
A flip-flop that outputs LOW
A flip-flop that outputs HIGH
Fig 3 The ordinary structure applying ONE-HOT state encoding
of an FSM. For the FSM hardened through One-hot×3, its state
register contains 16×3 flip-flops .these flip-flops are divided
into 16 groups. One ALL- HIGH group and 16-1 ALL LOW
groups. The self-checking module is used to identify which
group possesses the most bits HIGH and assert the
corresponding bit of its output state_hard.
As shown in Fig. 3. The state register contains 16 groups. One
group has3 bits HIGH (ALL-HIGH group) and 16 - 1 that is 15
groups each containing 3 bits LOW (ALL LOW group) for the
16 state FSM. A self-checking module is used to identify which
group contains most bits HIGH (ALL-HIGH GROUP) and then
generate the hardened One-Hot state value state-hard for the
next state logic and output logic. If the group 7 possesses the
most bits HIGH, the bit 7 will be asserted as state-hard that is a
high state.
This approach fails when several groups possess the same
maximum number of bits high respectively. This approach has
the ability to correct less than 3 bit-flip faults occurred in the
state register of 48 flip-flops per cycle. If the replications are
increased to M times but it has able to correct less than M bit-
flip faults occurred in the state register. At maximum this
approach corrects only 2 bit flip-faults in state register of size
48 flip-flops for 16-state FSM. As states of FSM increases it
requires large size of state register. The improved solutions of
one-hot ×m with self-checking method called state reforming
are also presented. State reforming means combining several
short One-Hot codes for state encoding and replicating them. In
One-Hot×3 (4×4) the output of the next state logic is replaced
by a two 4-bits one hot codes and replicating three times, and
two self-checking modules designed to implement the
SEU/MBUs hardening for two replications respectively.
Similarly in One-Hot× 3 (2×2×2×2) the next state logic is
replaced by four 2-bits one hot codes and replicating. These
state reformed solutions reduces the state register size to 24
with simple self-checking circuits
Even state reformed solutions requires 24 flip-flop state register
and also has less probability of detection. To overcome the
drawback of large state register size and to improve the
probability of detection Here we present an state register with 8
flip-flops using a new encoding logic which is a combination of
binary code and gray code that is a ‟binary-gray‟ code, and a
special combinational circuit is presented with in the FSM for
error correction and detection.
3. PROPOSED METHOD
In present technology states of FSM increases continuously, so
it is required to choose minimum size of state register and to
protect the FSM‟s states against SEU and MBUs. In the
proposed method to protect the FSM‟s states against SEU and
MBUs using 8 bit state register, we present a new encoding
technique ‟binary-gray‟ code which decreases the state register
size and a combinational circuit has LUT and gray code
comparator for self-checking.
3.1 ’Binary-Gray’ Code
Table 2: „Binary-gray‟ code for 16 State FSM
state ‘Binary-gray’
code
S0 00000000
S1 00010001
S2 00100011
S3 00110010
S4 01000110
S5 01010111
S6 01100101
S7 01110100
S8 10001100
S9 10011101
S10 10101111
S11 10111110
S12 11001010
S13 11011011
S14 11101001
S15 11111000
In the hardware implementation, one flip-flop requires to store
one bit of each group. Hence a state register containing 2×4 that
is 8 flip-flops needs for 16-state FSM. These 8 flip-flops are
divided into two groups, one group represents the binary code
and second group represents the gray code.
3.2 Self-Checking Circuit
In addition a self-checking circuit is used within the FSM for
error detecting and correcting the states and to retrieve the
correct state value when error occurred in current state. In this
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 4
approach all states FSM have to be stored in memory. This
approach requires only 16×8 that is 256 bits of memory for 16
state FSM, here LUT is taken to store the states of FSM and a
comparator is used to compare the binary values and gray
values.
3.2.1 Look up Table
A look up table (LUT) is a memory with a one-bit output that
essentially implements a truth table where each input
combination generates a certain logic output. The input
combination is referred to as an address. The HDL synthesizer
implements an AND gate or other simple logic function by
programming the stored elements in a LUT. The LUT used here
to retrieve the next-state logic for error state.
3.2.2 Binary-Gray Code Comparator
The binary-gray code comparator compares binary value of the
first half bits in state register (current state) with gray value of
the next half bits in state register. This comparator used here for
the purpose of detection of soft-errors in state register.
Input
Next_State
Logic
Output
Logic
Binary_
Gray
Code
Comparator
Output
LUT
1B
4B
1G
4G
FF_1B
FF_4B
FF_1G
FF_4G
Fig. 4 Memory based Binary-Gray‟ encoded FSM.
The ‟binary-gray‟ code with LUT finite state machine (FSM) is
illustrated in Fig.4 (Mealy type). As shown in Fig. 4.To
represent the 16(=24
) state FSM it takes 2×4 bits. The first 4
bits represent the binary code and next 4 bits represent the gray
code. In the hardware implementation, each bit of each group is
stored by a flip-flop. Hence a state register containing 2×4 that
is 8 flip-flops are needed in this approach.
As shown in Fig. 4 binary-gray code comparator is used to
compares the first four bits of binary value with next four bits of
gray value. If the both values are not equal that means the error
occurred in state register, the next state is taken from the LUT
which is stored by all states of FSM from the FSM logic.
Otherwise if both values equal that means there is no error
occurred in state register in that there is no need to go to the
LUT to retrieve the next state logic the FSM execution goes
normally which is description vhdl.
This approach fails when both binary value and gray value are
equal for error state that is error occurred in present state. Fig.4,
shows that no encoding logic is needed for hardware
implementation of this approach. This approach can detect
errors until the integer value of binary is equal to integer value
of gray for error state. With little overhead of hardware
provided by the self checking block implemented in FSM gives
100% error correction.
4. RESULTS AND DISCUSSIONS
The simulation results are analysed for both one one-hot×m
&self-checking method and proposed method through bit-flip
injection in state register. Simulation results for one hot method
are shown in Fig. 5. Here we are injecting one bit-flip at s3 state
and two bit-flips at s4 states respectively and this method
recovers the next state (a) and this approach fails with 3 bit-flip
injections at 16th
Position of s9 state and it will change like
0000000100000000->1000000100000000 this is the undefined
state and FSM stops execution (b). Simulation results for
proposed method are shown in in Fig. 6.without bit-flip
injection (a) and injecting a bit –flip at s3 state position and it
recovers correct s4 state after one clock cycle (b).
(a)
(b)
Fig 5: Simulation results for One-Hot × m & self-checking
through bit-flip injection in state register, (a) FSM recovers
next-state logic for less than 3 bit-flip faults.FSM fails to
recover the next-state logic because two groups of one hot code
possess the same maximum number bits HIGH.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 5
(a)
(b)
Fig 6: Simulation results for proposed method C) without bit-
flip injection in state register D) with bit-flip injecting at S3
state recovers the next state that is S4 state with one clock
period delay.
The synthesis results for state reformed solutions one-hot×m
(2×2×2×2) of one-hot method and proposed method are shown
in Fig. 7 (a) & (b) respectively. From the synthesis results
observed, the proposed method has little hardware overhead
because of using LUTs. If LUT is used for storing the Xilinx
selects automatically unnecessary gates that is MUX, AND
gates this will increases the hardware complexity. The hardware
complexity can be reduced by using block_ram and this uses
less number of gates for storing 256 bits of memory. The
proposed method detects 2 bit-flip faults in 8-bit state register
and one-hot method detects 2 bit-flip faults in 48-bit state
register so the probability detection of proposed method is high.
The proposed method has 100% error correction with little
hardware over head when error occurred in present state.
Table 3: Comparisons among the hardware implementations of
one-hot×3(16), its state reformed solutions and proposed
method.
Encoding
technique
No. of flip-flops
needed to store
current state
No.of inputs of
each self-
checking block
One-
Hot×3(16)
48 48
One-Hot×3
(4×4)
4 12
One-Hot×3
(2×2×2×2)
24 06
Proposed
„binary-gray‟
08 08
The synthesis results for state reformed solutions one-hot×m
(2×2×2×2) of one-hot method and proposed method are shown
in Fig. 7 (a) & (b) respectively. From the synthesis results
observed, the proposed method has little hardware overhead
because of using LUTs. If LUT is used for storing the Xilinx
selects automatically unnecessary gates that is MUX, AND
gates this will increases the hardware complexity. The hardware
complexity can be reduced by using block_ram and this uses
less number of gates for storing 256 bits of memory. The
proposed method detects 2 bit-flip faults in 8-bit state register
and one-hot method detects 2 bit-flip faults in 48-bit state
register so the probability detection of proposed method is high.
The proposed method has 100% error correction with little
hardware over head when error occurred in present state.
(a)
(b)
Fig. 7 Synthesis results for (a) one-hot×m (2×2×2×2) (b)
proposed method.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 6
5. CONCLUSIONS
In this paper a self checking approach to enhance the
SEU/MBUs immunity of FSMs‟ states has been discussed. This
approach uses „binary-gray‟ code for state encoding and has
ability to detect errors until the integer value of binary is not
equal to integer value of gray for error state, which is a sparse
situation and with little overhead of hardware provide by the
self checking block implemented in FSM gives 100% error
correction for error states. This approach gives higher
reliabilities by reducing the number of flip-flops needed for
storing state values. Simulation results of bit-flip injections
further supported and verified the conclusions of theoretical
analysis above.
This work has been successfully designed using VHDL and
simulated using Model Sim, synthesized using Xilinx tool.
FUTURE SCOPE
Actually 16×8 that is a 256 bits of memory required to store the
states of 16-state FSM in memory. By using LUTs for storing
the un necessary gates like MUX gates, AND gates are selected
this increases gate count for this design. There is a chance to
reducing the hardware complexity of FSM by using block ram
to store the states instead of LUTs.
REFERENCES
[1]. Li Yuanqing, Yao Suying, Xu Jiangtao and Gao Jing, “A
Self-Checking Approach for SEU/MBUs-Hardened FSMs
Design Based on the Replication of One-Hot Code” IEEE
TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 59, NO.
5, OCTOBER 2012.
[2]. M.J.Gadlage,R.D.Schrimpf,B.Narasimham,B.L.Bhuva,P.H.
Eaton, and J. M. Benedetto, “Effect of voltage fluctuations on
the single event transient response of deep submicron digital
circuits,” IEEE Trans. Nucl. Sci., vol. 54, no. 6, pp. 2495–2499,
Dec. 2007.
[3]. S. M. Jahinuzzaman, M. Sharifkhani, and M. Sachdev, “An
analytical model for soft error critical charge of nanometric
SRAMs,”IEEE Trans. Very Large Scale Integr. (VLSI) Syst.,
vol. 17, no. 9, pp.1187–1195, Sep. 2009.
[4]. S.-F. Liu, G. Sorrenti, P. Reviriego, F. Casini, J. A. Maestro,
and M. Alderighi, “Increasing reliability of FPGA-based
adaptive equalizers in the presence of single event upsets,”IEEE
Trans. Nucl. Sci.,vol.58, no. 3, pp. 1072–1077, Jun. 2011.
[5]. M. Zhu, L.-Y. Xiao, C. Liu, and J. W. Zhang, “Reliability
of memories protected by multibit error correction codes against
MBUs,”IEEE Trans. Nucl. Sci., vol. 58, no. 1, pp. 289–295,
Feb. 2011. [6] Y. Yahagi, H. Yamaguchi, E. Ibe, H. Kameyama,
M. Sato, T. Akioka, and S. Yamamoto, “A novel feature of
neutron-induced multi-cell upsets in 130 and 180 nm
SRAMs,”IEEE Trans. Nucl. Sci., vol. 54, no. 4, pp. 1030–1036,
Aug. 2007.
[6]. Y. Yahagi, H. Yamaguchi, E. Ibe, H. Kameyama, M. Sato,
T. Akioka, and S. Yamamoto, “A novel feature of
neutroninduced multi-cell upsets in 130 and 180 nm
SRAMs,”IEEE Trans. Nucl. Sci., vol. 54, no. 4, pp. 1030–1036,
Aug. 2007.

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Self checking approach for reducing soft errors in states of fsm

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 1 SELF-CHECKING APPROACH FOR REDUCING SOFT ERRORS IN STATES OF FSM B.Adichenchaiah1 , S.Arunamastani2 1 M.tech, ECE Department, JNTUACEA, Ananthapur, Andhra Pradesh, India 2 Assistant Professor, ECE Department, JNTUACEA, Ananthapur, Andhra Pradesh, India Abstract Due to reduction in device feature size and supply voltages the probability of soft-errors in Finite State Machines’ (FSMs) states has increased dramatically, and the protection against both Single Event Upset (SEU) and Multiple Bit Upsets (MBUs) soft-errors demand for design of fault tolerant FSMs that detect and correct more than one error. Redundancy has been mostly preferred methodology for Error Detection and Correction (EDAC), however selection of one EDAC method is a trade-off between performance and hardware overhead. In this paper, we present an SEU/MEU hardening approach for FSMs’ states through ‘binary-gray’ code for state encoding and a self-checking process that can detect and correct the soft errors in FSM states. Here 8 bit register is used to store the FSM states using ‘binary-gray’ code, this approach can detect errors until the integer value of binary is not equal to integer value of gray for error state, which is a sparse situation. The little overhead of hardware provided by the self checking block implemented in FSM gives 100% error correction. The Experimentation is performed on a 16 state FSM through bit flip fault injection. The simulation results of bit-flip injection into the FSMs’ state registers are analyzed and compared with the existing one- hot × m & self-checking method [1]. Keywords - FSMs, SEU, MBUs, EDAC --------------------------------------------------------------------------***-------------------------------------------------------------------------- 1. INTRODUCTION The operation of FSM‟s produced in nanometre technology and supply voltages decreases. These causes the decrease of cut off charge, which makes the storage cells (flip-flops, memories etc.,) be more likely to get flipped due to Single Event Upsets (SEUs) [2]-[3]. Multiple Bit Upsets (MBUs) induces in adjacent storage cells becomes higher as circuit density [4]-[5]. So, it is important to design hardened FSMs against soft-errors. Sequential circuit is the circuit that depends on the past behaviour of the circuit, as well as on present values of the inputs. Sequential circuits are also called as FINITE STATE MACHINES (FSMs). Generally FSMs are classified into two types 1. Mealy machines, 2. Moore machines. A Mealy FSM is a state machine where the outputs are function of present state and inputs and a Moore FSM is a state machine where the outputs are only function of inputs. For both these types the output logic and next state logic are combinational circuits and the state registers are composed of several flip-flops to store the current state. The soft errors occurred in state register may make an FSM fall into un- defined state [6] and then FSM goes to sudden reset. So it is important to concentrate on FSM states against soft-errors propagation has to be solved otherwise technology will be blocked soon. In present technology 16-state FSMs are large state machines in digital circuits. So here we are taking a 16- stae FSM for the experimentation against soft-errors. This FSM is vending that has only one input coin slot that accepts only one rupee coins as inputs and after accepting a sixteen one rupee coins it will give the output that may be a any product. The block diagram of the FSM and its state table as shown in Fig. 1 (a)
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 2 Table 1: State Table Present- state Next_State q-in=0 q- in=1 Out put S0 So S1 0 S1 S1 S2 0 S2 S2 S3 0 S3 S3 S4 0 S4 S4 S5 0 S5 S5 S6 0 S6 S6 S7 0 S7 S7 S8 0 S8 S8 S9 0 S9 S9 S10 0 S10 S10 S11 0 S11 S11 S12 0 S12 S12 S13 0 S13 S13 S14 0 S14 S14 S15 0 S15 S15 S0 1 (b) Fig 1 (a) Block diagram (b) State table, for 16-state FSM To protect the FSM‟s states against soft-errors some approaches are implemented based on redundancy techniques such as EDAC methods. As probability of SEU and MBUs increases design a fault tolerant FSMs requires more than single error correction and detection. In the One-Hot×m &self-checking method, Here an soft-errors hardening approach for FSMs states through replicating of one hot code 3 times (one-hot×3) for state encoding and self-checking. So for an FSM containing 16 states, a state register of size 16×3 that is 48 flip-flops are needed. This approach has able correct only less than 3 bit-flip faults occurred in state register of size 48 flip-flops per cycle. Here we propose a new approach to enhance the protection of FSM‟s states against soft-errors. In this approach a new encoding technique is called ‟binary-gray‟ code is used to represent the states of FSM. So for an FSM containing 16 states, only a state register with size 2×4 that is 8 flip-flops are needed and for error detecting and correcting in state register a additional self-checking combinational circuit is involved to retrieve the correct next state logic for error state. This approach can detect errors until the integer value of binary is not equal to integer value of gray for error state and gives 100% error correction for error state. This section provides an overview of the work presented in this paper. The rest of this paper is organized as follows. Section 2 briefly describes the One-Hot × M & self-checking method and its limitation. Section 3 describes the proposed method. Section 4 deals simulation results and discussions followed by conclusions. 2. ONE-HOT×M & SELF-CHECKING METHOD The replication of one-hot code method [1] presents an SEU/MBUs hardening approach for FSMs‟ states. In this approach a replication of One-Hot code is used to represent the states of FSM and a combinational logic is involved for Self- Checking of SEU/MBUs in states of FSM. 2.1 One-Hot×3 Code To protect the FSM states against SEU/MBUs a replication of One-Hot code is used for state encoding. A three times replication of One-Hot code (One-Hot×3) for S1 state for 16- state FSM is represented in Fig. 2. It requires 48 bits to represent the 16 state FSM. Fig 2 The 3 times replication of One-Hot code (One-Hot ×3) Each bit of the original One-Hot code is copied 3 times and expanded to a group. These 48 bits are divided into 16 groups, one ALL-HIGH group and 15 ALL-LOW group. In the hardware implementation, it requires one flip-flop to store one bit of each group. Hence a state register containing 16×3 that is 48 flip-flops are needed for 16-state FSM. In general for M times replication for 16-state FSM it requires a state register that containing 16×M flip-flops. 2.2 Self-Checking Circuit In addition a Self-Checking combinational logic is involved within in the FSM to correct the SEU/MBUs in the states of FSM. This Self-Checking block is designed for identifying which group contains most bits HIGH, and this result is used for generating the hardened One-Hot state value for the output logic and next state logic. One-hot×3 and its self-checking block for 16-state FSM is in Fig.1. is illustrated in Fig.3.
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 3 Input Next-State Logic 1 7 16 1 7 16 Next State (One-Hot) FF 1-1 FF 1-2 FF 1-3 FF 7-1 FF 7-2 FF 7-M FF 16-1 FF 16-2 FF 16-3 Self Checking Output logic Output LOW HIGH LOW Next_Hard (One-Hot) ALL-HIGH group ALL-LOW group FF FF A flip-flop that outputs LOW A flip-flop that outputs HIGH Fig 3 The ordinary structure applying ONE-HOT state encoding of an FSM. For the FSM hardened through One-hot×3, its state register contains 16×3 flip-flops .these flip-flops are divided into 16 groups. One ALL- HIGH group and 16-1 ALL LOW groups. The self-checking module is used to identify which group possesses the most bits HIGH and assert the corresponding bit of its output state_hard. As shown in Fig. 3. The state register contains 16 groups. One group has3 bits HIGH (ALL-HIGH group) and 16 - 1 that is 15 groups each containing 3 bits LOW (ALL LOW group) for the 16 state FSM. A self-checking module is used to identify which group contains most bits HIGH (ALL-HIGH GROUP) and then generate the hardened One-Hot state value state-hard for the next state logic and output logic. If the group 7 possesses the most bits HIGH, the bit 7 will be asserted as state-hard that is a high state. This approach fails when several groups possess the same maximum number of bits high respectively. This approach has the ability to correct less than 3 bit-flip faults occurred in the state register of 48 flip-flops per cycle. If the replications are increased to M times but it has able to correct less than M bit- flip faults occurred in the state register. At maximum this approach corrects only 2 bit flip-faults in state register of size 48 flip-flops for 16-state FSM. As states of FSM increases it requires large size of state register. The improved solutions of one-hot ×m with self-checking method called state reforming are also presented. State reforming means combining several short One-Hot codes for state encoding and replicating them. In One-Hot×3 (4×4) the output of the next state logic is replaced by a two 4-bits one hot codes and replicating three times, and two self-checking modules designed to implement the SEU/MBUs hardening for two replications respectively. Similarly in One-Hot× 3 (2×2×2×2) the next state logic is replaced by four 2-bits one hot codes and replicating. These state reformed solutions reduces the state register size to 24 with simple self-checking circuits Even state reformed solutions requires 24 flip-flop state register and also has less probability of detection. To overcome the drawback of large state register size and to improve the probability of detection Here we present an state register with 8 flip-flops using a new encoding logic which is a combination of binary code and gray code that is a ‟binary-gray‟ code, and a special combinational circuit is presented with in the FSM for error correction and detection. 3. PROPOSED METHOD In present technology states of FSM increases continuously, so it is required to choose minimum size of state register and to protect the FSM‟s states against SEU and MBUs. In the proposed method to protect the FSM‟s states against SEU and MBUs using 8 bit state register, we present a new encoding technique ‟binary-gray‟ code which decreases the state register size and a combinational circuit has LUT and gray code comparator for self-checking. 3.1 ’Binary-Gray’ Code Table 2: „Binary-gray‟ code for 16 State FSM state ‘Binary-gray’ code S0 00000000 S1 00010001 S2 00100011 S3 00110010 S4 01000110 S5 01010111 S6 01100101 S7 01110100 S8 10001100 S9 10011101 S10 10101111 S11 10111110 S12 11001010 S13 11011011 S14 11101001 S15 11111000 In the hardware implementation, one flip-flop requires to store one bit of each group. Hence a state register containing 2×4 that is 8 flip-flops needs for 16-state FSM. These 8 flip-flops are divided into two groups, one group represents the binary code and second group represents the gray code. 3.2 Self-Checking Circuit In addition a self-checking circuit is used within the FSM for error detecting and correcting the states and to retrieve the correct state value when error occurred in current state. In this
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 4 approach all states FSM have to be stored in memory. This approach requires only 16×8 that is 256 bits of memory for 16 state FSM, here LUT is taken to store the states of FSM and a comparator is used to compare the binary values and gray values. 3.2.1 Look up Table A look up table (LUT) is a memory with a one-bit output that essentially implements a truth table where each input combination generates a certain logic output. The input combination is referred to as an address. The HDL synthesizer implements an AND gate or other simple logic function by programming the stored elements in a LUT. The LUT used here to retrieve the next-state logic for error state. 3.2.2 Binary-Gray Code Comparator The binary-gray code comparator compares binary value of the first half bits in state register (current state) with gray value of the next half bits in state register. This comparator used here for the purpose of detection of soft-errors in state register. Input Next_State Logic Output Logic Binary_ Gray Code Comparator Output LUT 1B 4B 1G 4G FF_1B FF_4B FF_1G FF_4G Fig. 4 Memory based Binary-Gray‟ encoded FSM. The ‟binary-gray‟ code with LUT finite state machine (FSM) is illustrated in Fig.4 (Mealy type). As shown in Fig. 4.To represent the 16(=24 ) state FSM it takes 2×4 bits. The first 4 bits represent the binary code and next 4 bits represent the gray code. In the hardware implementation, each bit of each group is stored by a flip-flop. Hence a state register containing 2×4 that is 8 flip-flops are needed in this approach. As shown in Fig. 4 binary-gray code comparator is used to compares the first four bits of binary value with next four bits of gray value. If the both values are not equal that means the error occurred in state register, the next state is taken from the LUT which is stored by all states of FSM from the FSM logic. Otherwise if both values equal that means there is no error occurred in state register in that there is no need to go to the LUT to retrieve the next state logic the FSM execution goes normally which is description vhdl. This approach fails when both binary value and gray value are equal for error state that is error occurred in present state. Fig.4, shows that no encoding logic is needed for hardware implementation of this approach. This approach can detect errors until the integer value of binary is equal to integer value of gray for error state. With little overhead of hardware provided by the self checking block implemented in FSM gives 100% error correction. 4. RESULTS AND DISCUSSIONS The simulation results are analysed for both one one-hot×m &self-checking method and proposed method through bit-flip injection in state register. Simulation results for one hot method are shown in Fig. 5. Here we are injecting one bit-flip at s3 state and two bit-flips at s4 states respectively and this method recovers the next state (a) and this approach fails with 3 bit-flip injections at 16th Position of s9 state and it will change like 0000000100000000->1000000100000000 this is the undefined state and FSM stops execution (b). Simulation results for proposed method are shown in in Fig. 6.without bit-flip injection (a) and injecting a bit –flip at s3 state position and it recovers correct s4 state after one clock cycle (b). (a) (b) Fig 5: Simulation results for One-Hot × m & self-checking through bit-flip injection in state register, (a) FSM recovers next-state logic for less than 3 bit-flip faults.FSM fails to recover the next-state logic because two groups of one hot code possess the same maximum number bits HIGH.
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 5 (a) (b) Fig 6: Simulation results for proposed method C) without bit- flip injection in state register D) with bit-flip injecting at S3 state recovers the next state that is S4 state with one clock period delay. The synthesis results for state reformed solutions one-hot×m (2×2×2×2) of one-hot method and proposed method are shown in Fig. 7 (a) & (b) respectively. From the synthesis results observed, the proposed method has little hardware overhead because of using LUTs. If LUT is used for storing the Xilinx selects automatically unnecessary gates that is MUX, AND gates this will increases the hardware complexity. The hardware complexity can be reduced by using block_ram and this uses less number of gates for storing 256 bits of memory. The proposed method detects 2 bit-flip faults in 8-bit state register and one-hot method detects 2 bit-flip faults in 48-bit state register so the probability detection of proposed method is high. The proposed method has 100% error correction with little hardware over head when error occurred in present state. Table 3: Comparisons among the hardware implementations of one-hot×3(16), its state reformed solutions and proposed method. Encoding technique No. of flip-flops needed to store current state No.of inputs of each self- checking block One- Hot×3(16) 48 48 One-Hot×3 (4×4) 4 12 One-Hot×3 (2×2×2×2) 24 06 Proposed „binary-gray‟ 08 08 The synthesis results for state reformed solutions one-hot×m (2×2×2×2) of one-hot method and proposed method are shown in Fig. 7 (a) & (b) respectively. From the synthesis results observed, the proposed method has little hardware overhead because of using LUTs. If LUT is used for storing the Xilinx selects automatically unnecessary gates that is MUX, AND gates this will increases the hardware complexity. The hardware complexity can be reduced by using block_ram and this uses less number of gates for storing 256 bits of memory. The proposed method detects 2 bit-flip faults in 8-bit state register and one-hot method detects 2 bit-flip faults in 48-bit state register so the probability detection of proposed method is high. The proposed method has 100% error correction with little hardware over head when error occurred in present state. (a) (b) Fig. 7 Synthesis results for (a) one-hot×m (2×2×2×2) (b) proposed method.
  • 6. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 04 | May-2014 | NCRTECE-2014, Available @ http://www.ijret.org 6 5. CONCLUSIONS In this paper a self checking approach to enhance the SEU/MBUs immunity of FSMs‟ states has been discussed. This approach uses „binary-gray‟ code for state encoding and has ability to detect errors until the integer value of binary is not equal to integer value of gray for error state, which is a sparse situation and with little overhead of hardware provide by the self checking block implemented in FSM gives 100% error correction for error states. This approach gives higher reliabilities by reducing the number of flip-flops needed for storing state values. Simulation results of bit-flip injections further supported and verified the conclusions of theoretical analysis above. This work has been successfully designed using VHDL and simulated using Model Sim, synthesized using Xilinx tool. FUTURE SCOPE Actually 16×8 that is a 256 bits of memory required to store the states of 16-state FSM in memory. By using LUTs for storing the un necessary gates like MUX gates, AND gates are selected this increases gate count for this design. There is a chance to reducing the hardware complexity of FSM by using block ram to store the states instead of LUTs. REFERENCES [1]. Li Yuanqing, Yao Suying, Xu Jiangtao and Gao Jing, “A Self-Checking Approach for SEU/MBUs-Hardened FSMs Design Based on the Replication of One-Hot Code” IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 59, NO. 5, OCTOBER 2012. [2]. M.J.Gadlage,R.D.Schrimpf,B.Narasimham,B.L.Bhuva,P.H. Eaton, and J. M. Benedetto, “Effect of voltage fluctuations on the single event transient response of deep submicron digital circuits,” IEEE Trans. Nucl. Sci., vol. 54, no. 6, pp. 2495–2499, Dec. 2007. [3]. S. M. Jahinuzzaman, M. Sharifkhani, and M. Sachdev, “An analytical model for soft error critical charge of nanometric SRAMs,”IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 17, no. 9, pp.1187–1195, Sep. 2009. [4]. S.-F. Liu, G. Sorrenti, P. Reviriego, F. Casini, J. A. Maestro, and M. Alderighi, “Increasing reliability of FPGA-based adaptive equalizers in the presence of single event upsets,”IEEE Trans. Nucl. Sci.,vol.58, no. 3, pp. 1072–1077, Jun. 2011. [5]. M. Zhu, L.-Y. Xiao, C. Liu, and J. W. Zhang, “Reliability of memories protected by multibit error correction codes against MBUs,”IEEE Trans. Nucl. Sci., vol. 58, no. 1, pp. 289–295, Feb. 2011. [6] Y. Yahagi, H. Yamaguchi, E. Ibe, H. Kameyama, M. Sato, T. Akioka, and S. Yamamoto, “A novel feature of neutron-induced multi-cell upsets in 130 and 180 nm SRAMs,”IEEE Trans. Nucl. Sci., vol. 54, no. 4, pp. 1030–1036, Aug. 2007. [6]. Y. Yahagi, H. Yamaguchi, E. Ibe, H. Kameyama, M. Sato, T. Akioka, and S. Yamamoto, “A novel feature of neutroninduced multi-cell upsets in 130 and 180 nm SRAMs,”IEEE Trans. Nucl. Sci., vol. 54, no. 4, pp. 1030–1036, Aug. 2007.