Transcript Presentazione del progetto Urbino Wireless Campus Urbino
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Alessandro Bogliolo
University of Urbino
Nicola Terrassan
and
Davide Bertozzi
University of Ferrara SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Outline 1. Motivation 2. Physical channel design 3. Analytical model
• Design • Validation against HSPICE
4. Macromodel integration in SystemC
• Accuracy assessment
5. Applications and conclusions
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Motivation
500M Transistor Platform SPICE-based design space explorations are not viable due to system complexity Design-Productivity Gap Physical gap Hell of nano-scale physics SPI-07 – May 14, 2007 Development of accurate physical models and their abstraction into accurate compact models are mandatory for designing complex circuits • Degradation of RC propagation delay across on-chip interconnects • Low-swing signaling and coding for low-power • Increased sensitivity to on-chip noise sources [email protected]
FF in Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Objective of the work
FF out Driver Receiver RC line
Data out Data in
Scalability analysis From 130 to 90 nm, Berkeley Predictive Technology Models Communication channel driver, interconnect, receiver, sampling stages Target: 1 GHz operating frequency, low-power, high throughput links Analytical model capturing the effects of on-chip noise sources on the channel sub-systems based on the
noise sensitive area concept
Paramet. bit-level model of noisy on-chip communication channels Macromodel integration in SystemC for system-level simulation SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Outline 1. Motivation 2. Physical channel design 3. Analytical model
• Design • Validation against HSPICE
4. Macromodel integration in SystemC
• Accuracy assessment
5. Applications and conclusions
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Pseudo-differential interconnect
PDIFF receiver RC Line Driver Static FF Clocked sense amplifier • Makes use of a single wire per bit while still retaining most advantages of differential signaling: low swing, low sensitivity to supply noise • Sources of reliability degradation: mismatches of input pair TNs or REFs SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Delay breakdown
130nm technology node Transistor sizing with Hspice optimization engine Vdd=1.2V, Swing=0.2V
Interconnect length=2mm (intermediate metal layer) Maximum Frequency: 1.35Ghz
SAFF Flip Flop and PDIFF receiver are the delay bottlenecks SPI-07 – May 14, 2007 [email protected]
• • • • • Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Delay scalability
130 nm technology node 90 nm technology node
Vdd = 1,2 V Swing =
0,2 V
Interconnect length = 2 mm Intermediate metal layer F MAX (130 nm)=
1,35
GHz
• • • • •
Vdd = 1 V Swing =
0,2 V
(to preserve noise margins) Interconnect length = 2 mm Intermediate metal layer F MAX (90 nm)=
1,45
GHz
Propagation delay. Logic 1-to-0 transition
Scaling of gate delay Interconnect delay does not scale (51% degradation) SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Power breakdown
130nm 90nm 7% 10% 19% 30% 26% SAFF Driver RC line PDIFF Latch NOR 24% 7% 20% 30% Total Power: 98,968 µW 38,532 µW 27% Scaling factor of power ranges from 0.24x (SAFF) to 0.52x (NOR Latch) Interconnect power increases by 1.1x
FF, driver and receiver are the most power-hungry components Interconnect power relevant only in 90nm Overall channel power reduces by 60% SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Outline 1. Motivation 2. Physical channel design 3. Analytical model
• Design • Validation against HSPICE
4. Macromodel integration in SystemC
• Accuracy assessment
5. Applications and conclusions
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Modelling approach
Data in
splitting the communication channel in two parts: a
driving section
and a
driven section Driving section
FF in Driver
Splitting point Driven section
FF out Receiver RC line
Data out
SPI-07 – May 14, 2007
Provides a signal waveform Poses conditions to its shape to guarantee correct sampling
Error probability evaluated by comparing the signal provided by the driving section with the requirements posed by the driven section [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Noise sensitive areas
Receiver requirements modelled through noise sensitive areas: regions in the signal-time plane which are forbidden to the signal waveform Vin Vin Receiv.
FF clock Vswing=0.2
t0 Hold Time Triggering condition: a requirement on the input voltage at sampling time SA-based receiver imposes holding requirements on the input signal: the stronger the signal the shorter the hold time SPI-07 – May 14, 2007 [email protected]
Vin [V] Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Experimental NSA
nominal
130 nm technology node – 10% positive injected noise on Vdd Thold [ps] A positive Vdd variation at the receiver shrinks the NSA The receiver takes less time to sample input signals Triggering condition reduces to: Vin higher than 0.140V (for sampling a logic 1) Vin lower than 0.065V (for sampling a logic 0) SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Parametric NSA model
Measured parameters are manipulated in order to use linear regressions to fit experimental data with a minimum number of fitting coefficients 1 T hold 2 c(V in V LT ) c c 1.2
Gnd c 1.1
Vdd c 1.0
V LTeff V LT V ref V gnd_ref 2 V ref_nom V gnd_ref_no m 2 T hold c 1.2
Gnd c 1.1
Vdd 1 c 1.0
V in V LTeff SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Model accuracy
• Analytical models of Thold evaluated for different random combinations of noise sources and Vin values • HSPICE sweep simulations conducted with injected noise sources to determine the minimum hold time • Results: – Average error: 3.5% in 130 nm (4.95% in 90nm) – Maximum error: 17.53% in 130 nm (23.5% in 90nm) for concurrent common-mode noise on Vref and Vgnd SPI-07 – May 14, 2007 [email protected]
Data in
FF in Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Driving subcircuit model
Driver RC line
Vin
Far-end signal waveform approximated by a
delay
followed by an
exponential transient
SPI-07 – May 14, 2007 Time (ps) [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels V in V in Gnd V ref
Exponential transient model
V ref Gnd Gnd V ref 1 1 exp exp (t (t t0)c t0)c
Logic 0 to 1 transition Logic 1 to 0 transition c
is the slope parameter, experimentally approximated by: c c 2 l 2 1 c 1 l c 0 V dd V dd_nom
Almost insensitive to Vref variations Depends on interconnect length (l)
Further refined to account for wire parameters: c c 2 R w R w0 C w C w0 l 2 c 1 ( R R t0 t C 1 w C w0 R w C r R w0 C r0 ) l R t R t0 C r C r0 c 0 V dd V dd_nom
Rw,Cw: resistance and capacitance per unit length Rt: driver output resistance Cr: receiver input capacitance
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Delay model
We did not derive fitting models of the delay measured from HSPICE simulations, but of those delay values that minimize the MSE of the fitting exponential transients d c 2 1 (V dd Gnd) c 1 R w C w c 0 Directly proportional to Resistance and Capacitance per unit length Inversely proportional to V dd - Gnd SPI-07 – May 14, 2007 We therefore aim at achieving maximum accuracy in predicting the far-end voltage Vin at sampling time [email protected]
20% 18% 16% 14% 12% 10% 8% 6% 4% 2% 0%
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Accuracy
Validation against HSPICE for different noise scenarios
Min
MSE for exp. transient
Avg (logic 1) Avg (logic 0) Max 130nm 90nm
In practice, the error on Vin is much smaller than MSE at sampling time
Time (ps) SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Outline 1. Motivation 2. Physical channel design 3. Analytical model
• Design • Validation against HSPICE
4. Macromodel integration in SystemC
• Accuracy assessment
5. Applications and conclusions
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Macromodel integration in SystemC
Need: expose the analytical models to a high-level modelling and simulation environment Interconnect analysis with SPICE accuracy in complex systems Traditional macromodels integrated in VHDL/Verilog SystemC is emerging as the ref. backbone for system-level design C-language programming facilitates HW-SW codesign Analytical macromodel integration in SystemC We exploited the Advanced and Flexible Communication Abstractions in SystemC Ports:
gateways to communication functions
Interfaces:
declaration of communication functions
Channels:
actual implementation of communication functions
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
SystemC communication abstractions
Plug-and-play channels in the link communication model
Interface Interface
HW Module Predefined sc_signal channel (read/write implementation) HW Module Plug-'n'-Play sc_signal with Integrated Analytical model
Output port Input port
SPI-07 – May 14, 2007 Predefined channel augmented with analytical model [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
SystemC vs SPICE accuracy
Accuracy results for 30 different mixes of noise sources
Technology node Sampled logic value Max Error Avg Error Min Error
130nm 1
1,23% 0,46% 0,02%
130nm 0
5,87% 1,76% 0,08%
90nm 1
1,46% 0,38% 0,00%
90nm 0
6,26% 1,48% 0,18% Average error at sampling time never worse than 2% , max. error less than 7% Risk of logic value misprediction if sampled voltage close to decision threshold a
warning
is generated by the SystemC channel Accounting for Inter-Symbol Interference Simulation time improvements with SystemC by 10x SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Outline 1. Motivation 2. Physical channel design 3. Analytical model
• Design • Validation against HSPICE
4. Macromodel integration in SystemC
• Accuracy assessment
5. Applications and conclusions
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Communication channel exploration
First application
Injection of noise in the transmitter until a logic error is produced at the receiver
Power supply noise FF TX
Power Supply Noise Type Differential Common Mode SystemC
0,04 0,051
130nm HSPICE
0,048 0,058
Error 0,67% 0,58% SystemC
0,056 0,063
90nm HSPICE
0,063 0,074
Error 0,70% 1,10%
SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Communication channel exploration
Second application: Exploration of different clocking schemes
Native dual clocking schemes with phase shift 1000 ps = 1 GHz Clock TX Clock RX Which is the min. shift for correct sampling at 1 GHz?
SystemC
35
ps HSPICE
35
ps (exact matching) SPI-07 – May 14, 2007 [email protected]
Spice-Accurate SystemC Macromodels of Noisy on-Chip Communication Channels
Conclusions
Design of a communication channel for high-performance on-chip links targeting 1 GHz operating frequency at 130nm and 90nm techn. nodes low power, low swing signaling Analytical modelling of channel behavior in presence of noise Noise sensitive area concept, delay and signal slope models Macromodel integration into SystemC Powerful communication abstractions Plug-and-play backannotated channel Very high accuracy in predicting far-end voltage at sampling time Average error below 2%, max error below 7% Improvement of simulation time by 10x Accounting for Inter-Symbol Interference Macromodels at work for fast assessment of channel robustness against noise sources physical channel design space exploration Future work: crosstalk analytical macromodelling SPI-07 – May 14, 2007 [email protected]