Showing posts with label logic synthesis. Show all posts
Showing posts with label logic synthesis. Show all posts

Sep 29, 2026

Do we need to fix the Trans/Cap Violations During Synthesis ?

Complete Guide: Transition & Capacitance Violations in Synthesis

Complete Guide: Transition & Capacitance Violations in Synthesis

From Understanding Violations to Technology Trends, Constraint Tuning, and Avoiding Common Pitfalls in RTL Synthesis

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1. Do We Need to Fix Transition/Capacitance Violations During Synthesis?

Short Answer: Yes, generally you should fix them, but with nuance.

Why Fix Them?

  • Signal Integrity Issues: Transition violations indicate slow signal edges, which can cause increased delay uncertainty, higher susceptibility to noise/crosstalk, and potential glitches.
  • Timing Closure Problems: Cap violations lead to inaccurate delay calculations in later stages. If not fixed early, they compound in Place-and-Route (P&R) and Clock Tree Synthesis (CTS).
  • Cell/Library Compliance: Violations often mean you're exceeding characterized limits in liberty (.lib) files, making Static Timing Analysis (STA) results unreliable/extrapolated.
  • Power Concerns: Excessive capacitance loading increases dynamic power consumption.

When Flexibility Exists

  • Minor violations on non-critical paths may self-resolve during placement-aware optimization (CTS/Place-and-Route stages).
  • Early synthesis (pre-layout) estimates aren't always accurate—wire load models can overestimate/underestimate real capacitance.
  • Some tools/flows prioritize fixing setup/hold violations first, addressing trans/cap as secondary.
✅ Best Practice Approach:
Priority Action
High Fix violations on timing-critical paths
High Fix violations exceeding max_transition/max_capacitance by large margins
Medium Fix violations on high fanout nets (clock-like signals)
Low Minor violations on non-critical, low-fanout paths — can defer to P&R stages with real parasitics

Common Fixes in Synthesis

  • Buffer insertion/sizing
  • Gate resizing (upsizing drivers)
  • Logic restructuring/fanout splitting
  • Adjusting max_transition/max_capacitance constraints if too aggressive
🎯 Bottom Line:
Don't ignore them, but also don't over-fix based on pre-layout estimates. Use case analysis — validate with post-layout (real RC) data before major ECOs, since synthesis-stage numbers are estimates using wireload models, not actual routing parasitics.

2. Is This an ECO? (Clarifying the Process)

No, This is NOT an ECO (Engineering Change Order) at the Synthesis stage.

The term ECO is reserved for modifications made to place-and-route (P&R) or GDSII data after timing closure has been reached (or during late-stage optimization).

At the Synthesis stage, the process is called Optimization.

Key Distinction

Stage Process Name What You're Doing
Synthesis Optimization Changing gate sizes, inserting buffers, restructuring logic via scripts/commands (e.g., set_max_transition, buffer, resize in DC/Genus). The netlist is regenerated.
P&R Optimization / ECO Moving instances, re-routing wires, swapping cells. If it's a late-stage fix to a taped-out design, it's an ECO.

Why This Matters

  • If you ignore trans/cap violations in synthesis, you may end up with a netlist that cannot be routed or fails timing in P&R.
  • If you fix them in synthesis, you give P&R a clean, compliant starting point, making timing closure easier.
  • You never call this an ECO. ECOs are costly and risky; synthesis optimization is part of the normal design flow.

How Do You Fix Trans/Cap Violations in Synthesis?

You use synthesis optimization commands, such as:

# Common synthesis optimization commands
set_max_transition [current_design]   ;# Sets transition constraint
set_max_capacitance [current_design]  ;# Sets capacitance constraint
size_design                            ;# Resizes cells to meet timing/driver-strength constraints
buffer                                 ;# Manually inserts buffers on high-fanout nets
compile_ultra (DC) / compile (Genus)   ;# Runs the full optimization flow
💡 Summary:
No, it's not an ECO. It's synthesis optimization.
You fix trans/cap violations in synthesis using constraints + compile/optimize commands, not ECO procedures.

3. Typical Constraint Values & Technology Trends

There's no universal fixed value — it depends heavily on technology node, library, voltage corner, and clock frequency.

1. set_max_transition (Slew Constraint)

Technology Node Typical Max Transition
180nm / 130nm 800ps – 1ns
90nm / 65nm 400ps – 600ps
40nm / 28nm 150ps – 300ps
16nm / 14nm 80ps – 150ps
7nm / 5nm 30ps – 80ps
Rule of Thumb: Max transition ≈ 10-20% of the clock period
# Example for a 1GHz clock (1ns period) in 28nm
set_max_transition 0.15 [current_design]   ;# ~150ps

2. set_max_capacitance

This is usually library-driven, not something you invent from scratch:

# Best Practice: Pull from library's own cell characterization
set_max_capacitance [get_attribute [get_lib_cell */BUFX4] max_capacitance] $design
  • Most standard cell libraries already define max_cap per cell in the .lib file.
  • Typical output driver max cap (buffer/inverter) in liberty:
    • 28nm: ~50fF – 150fF (varies by drive strength)
    • 16nm: ~20fF – 80fF

3. How It's Usually Set in Practice

Rather than hardcoding, most flows do this:

# Derive from library instead of guessing
set_max_transition [get_attribute [get_lib_cell $lib/$typical_buf] max_transition] $design
set_max_capacitance [get_attribute [get_lib_cell $lib/$typical_buf] max_capacitance] $design

Or teams inherit values from the foundry/PDK-provided constraint (SDC) template, which is qualified via characterization + signoff correlation.

4. Common Industry Defaults (as a Starting Point)

If no guidance exists, many engineers start with:

set_max_transition 0.2  [current_design]     ;# 200ps - moderate node
set_max_capacitance 0.1 [current_design]     ;# 100fF - moderate node

Then iterate based on violations reported and refine per clock domain.

⚠️ Important Note:
Never blindly copy these values. Always:
  1. Check your foundry PDK guidelines
  2. Check your standard cell library's recommended operating conditions
  3. Correlate with your target clock frequency
  4. Validate against signoff STA tool (PrimeTime, Tempus) — synthesis is just an estimate!

4. Impact of Clock Frequency in 7nm

In 7nm, clock frequency impacts set_max_transition mainly because teams typically cap data/clock slews as a fraction of the clock period so that edge-rate uncertainty and slew-dependent cell delay don't consume too much of the cycle.

1) The Direct Relationship: Period-Based Budgeting

Let:

  • f_clk = clock frequency
  • T = 1/f_clk = clock period

A common budgeting rule used early (before physical is accurate) is:

max_transition ≈ k · T

where k is often:

  • Data paths: ~0.10 to 0.20 of period
  • Clock network (tighter): ~0.05 to 0.10 of period

So as frequency increases (T decreases), the allowed max transition shrinks linearly.

2) Concrete Examples in 7nm

Assume typical budgeting factors: Data: k = 0.10 to 0.15, Clock: k = 0.05 to 0.08

Frequency Period (T) Data max_transition (10–15%) Clock max_transition (5–8%)
1.0 GHz 1000 ps 100–150 ps 50–80 ps
2.0 GHz 500 ps 50–75 ps 25–40 ps
3.0 GHz 333 ps 33–50 ps 17–27 ps
4.0 GHz 250 ps 25–38 ps 12–20 ps

These values line up with what you often see in advanced-node flows: tens of ps for max slew.

3) Why 7nm Tends to Be Stricter Than "Just % of Period"

Even if the period-based rule gives you a number, at 7nm the practical upper bound is often set by library validity and SI sensitivity:

  • Lib characterization limits: .lib/.db often has a defined max_transition per pin/cell. If you allow slews larger than that, STA ends up extrapolating delays/noise → unreliable.
  • Crosstalk/noise: slow edges + tight spacing = bigger coupling impact; keeping slew small helps.
  • Clock quality: slow clock edges degrade duty cycle, increase jitter sensitivity, and can worsen hold behavior.

So in 7nm, the final constraint is usually:

set_max_transition = min(kT, library max_transition guidance)

4) Practical Guidance

  • Start with period-based constraints per clock domain (data vs clock).
  • Then clamp them to what the library/PDK recommends (often the real limiter at 7nm).
  • Use different values for:
    • clock trunk vs leaf vs data nets
    • different frequency domains
💡 Note: If you tell me your target frequency (e.g., 2.5 GHz) and whether you're setting it for clock nets or data nets, I can suggest a reasonable starting set_max_transition number and how to apply it (per-clock or per-design).

5. Consequences of Choosing a Constraint That Is Too Tight

In 7nm, setting max_transition tighter than necessary does not just "fix more violations"—it actively degrades QoR (Quality of Results) in both timing and power. Here's why:

⏱️ Timing Consequences

1. Excessive Buffer Insertion → Added Path Delay

  • The tool inserts buffers/repeaters to meet the tight slew target.
  • Each inserted buffer adds intrinsic delay to the path.
  • Net effect: You may "fix" a transition violation but create a new setup violation on that same path due to added buffer delay stacking up.
Original: Driver → Long Net → Load           (slew violation, but short delay)
"Fixed":  Driver → Buf1 → Buf2 → Buf3 → Load (slew OK, but delay ↑↑↑)

2. Logic Depth / Stage Count Increases

  • More buffers = more logic stages between register-to-register paths.
  • Increases delay uncertainty (more stages = more PVT variation accumulation).

3. Hold Time Violations

  • Inserted buffers change the relative delay balance between clock and data paths (or between parallel data paths).
  • Can introduce new hold violations that weren't there before, especially on short paths.

4. Clock Tree Impact (if applied to clock nets)

  • Overly tight slew on clock buffers → more clock tree stages.
  • Leads to increased insertion delay and potentially worse skew — counterproductive since original goal (clock quality) gets worse, not better.

5. Non-Convergence / False Violations

  • If the constraint is unrealistically tight (tighter than what the library or PDK design rules can support), the tool cannot fix it no matter how much buffering is added.
  • Result: Persistent "unfixable" violations in reports — engineers waste time chasing false urgency instead of real critical paths.
  • Common on primary I/O pins with fixed external driver/load characteristics you can't control.

6. Longer Optimization Runtime

  • Synthesis tool spends excessive iterations trying to meet an aggressive target.
  • Can significantly increase compile/optimization runtime without proportional QoR benefit.

⚡ Power Consequences

1. Dynamic Power ↑ (Switching Power)

  • Every inserted buffer switches every clock cycle (if in a toggling path).
  • More buffers = more switched capacitance = higher dynamic power.
P_dynamic ∝ α · C_load · V² · f

More buffers → more C_load switching nodes → power scales up.

2. Leakage Power ↑ (Static Power)

  • More cells in the design = more leakage paths.
  • At 7nm, leakage is already a significant fraction of total power — adding unnecessary buffers compounds this.

3. Area ↑ → Routing Power ↑

  • More cells = larger die area or denser placement = longer wires to route the extra buffers.
  • Additional wire capacitance adds to both dynamic power and potential congestion.

4. Cascading Upstream Cap Violations

  • To drive the newly inserted buffer, the upstream driver's output pin capacitance increases.
  • This can trigger new max_capacitance violations upstream, causing a chain reaction of unnecessary resizing/buffering — a snowball effect in power and area.

📊 Summary Table

Consequence Timing Impact Power Impact
Extra buffers inserted +Path delay, +Setup risk +Dynamic + Leakage power
More logic stages +Delay uncertainty +Switched cap
Hold balance shifts +Hold violations (new) —
Clock buffering (if applied) +Skew, +Insertion delay +Clock tree power (often the single largest power sink)
Unrealistic target Unfixable violations, wasted runtime Wasted area/power for no SI benefit

✅ Best Practice: Avoid Over-Constraining

  1. Don't blindly tighten max_transition "to be safe" — use library/PDK-recommended values.
  2. Differentiate domains: Clock nets can have tighter limits than general data nets — but even clock limits should be grounded in real skew/duty-cycle requirements, not arbitrary tightening.
  3. Check for diminishing returns: If tightening the constraint by 10% causes a 30% increase in buffer count, you've likely crossed into negative ROI territory.
  4. Validate empirically: Run synthesis with two constraint sets (e.g., library default vs. custom tighter value) and compare:
    • Total buffer/cell count
    • WNS/TNS (Worst/Total Negative Slack)
    • Total power (dynamic + leakage)
    • Area
🎯 Bottom Line:
Too tight ≠ better. It creates a false sense of "clean" transition reports while silently degrading real timing (via delay/hold issues) and inflating power/area — often making the design worse overall, even though the transition metric looks "fixed".

The goal is the minimum sufficient constraint — tight enough to ensure signal integrity and delay-model accuracy, but not so tight that it forces unnecessary buffering.

6. Best Practices & Summary

Key Takeaways

  • Yes, fix trans/cap violations in synthesis, but prioritize critical paths.
  • It's not an ECO — it's synthesis optimization.
  • No universal values — derive from library and PDK guidelines.
  • Frequency matters — tighter periods require tighter slews.
  • Don't over-constrain — it hurts timing, power, and area.

Common Pitfalls

  • Hardcoding generic values without checking library limits.
  • Ignoring the difference between clock and data path constraints.
  • Chasing "perfect" transition reports at the cost of setup/hold margins.
  • Not validating synthesis estimates against post-layout signoff.

Recommended Workflow

1. Start with library-derived constraints:
   set_max_transition [get_attribute [get_lib_cell ...] max_transition]
   set_max_capacitance [get_attribute [get_lib_cell ...] max_capacitance]

2. Apply period-based clamping for high-frequency domains:
   if {freq > 2GHz} { set_max_transition [expr {$period * 0.1}] }

3. Run synthesis optimization:
   compile_ultra

4. Analyze violations:
   - Critical paths → Fix immediately
   - Non-critical, minor → Defer to P&R
   - Unfixable → Check if constraint is unrealistic

5. Validate against signoff STA with real parasitics.
💡 Final Thought:
Transition and capacitance constraints are enablers, not goals. Their purpose is to ensure signal integrity and accurate timing analysis — not to achieve a "perfect" report. Balance constraint rigor with design practicality, and always validate with post-layout data.
📚 Continue Your Learning Journey
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QUIZ: Digital Design : Synthesis : Basic Fundamentals-Part1

Sep 20, 2026

What are the measures to be taken to design for optimized area?

Area Optimization Measures

Measures to design for optimized area (minimum silicon) using architecture/RTL, synthesis, and floorplanning levers.

Area Optimization
Why area matters: As silicon real-estate is very costly and saving is directly proportional to the company's revenue generation, a lot of emphasis is placed on designing which has optimal utilization in the area-front.

1) Architecture-level (biggest impact)

  • Resource sharing / time-multiplexing: reuse ALU/multiplier across cycles instead of duplicating blocks.
  • Reduce parallelism when throughput allows.
  • Bit-width optimization: use only required word length (trim unused bits).
  • Use memory macros: replace large flop arrays with SRAM/ROM whenever feasible.
  • Simpler arithmetic: shift/add vs multiply if allowed by spec.

2) RTL / micro-architecture

  • Remove redundant logic: share common sub-expressions and decodes.
  • Avoid unnecessary pipelining: extra registers increase area (and clock overhead).
  • FSM encoding (ASIC): binary/compact encodings typically use fewer flops than one-hot.
  • Control mux growth: restructure to avoid very wide mux trees.

3) Synthesis-driven techniques

  • Don’t over-constrain timing: aggressive constraints lead to upsizing/buffering → more area.
  • Use low-drive cells on non-critical paths: if the path is not timing-critical, optimize the cells to use low-drive strength cells so that there will be saving in the area.
  • Enable area-focused compile (tool option) and/or apply set_max_area targets.
  • Manage fanout early: high fanout nets often cause buffer insertion (area increase).
Quick win: Move non-critical logic to minimum-size / low-drive cells and relax timing where legally possible.

4) Floorplanning / physical (ASIC)

  • Abut the VDD rows (clean standard-cell row strategy) to improve utilization and reduce wasted whitespace.
  • Iterate floorplans: analyzing utilization numbers with multiple floor-planning versions which brings up with optimized area targets.
  • Reduce congestion (better macro placement/channel sizing) to avoid late buffering and detours.

Example (typical synthesis knobs)

/* Generic (tool-dependent) examples */
# Set an area target (units depend on library)
set_max_area 0

# Use an area-focused compile (name varies by tool)
compile -area_effort high

# Ensure non-critical paths are allowed to use smaller cells
# (avoid over-aggressive timing constraints)
Best practice: optimize architecture first, then let synthesis pick smaller cells on non-critical paths, and validate with floorplan utilization.
Architecture • Synthesis • Floorplan

What is meant by Wireload Model?

Wire Load Model

Understanding Wire Load Models (WLM) in logic synthesis flow.

Synthesis Concept
In the synthesis tool, in order to model the wires we use a concept called Wireload Models. Wireload models are statistical models with respect to fanout. Say for a particular technology, based on our previous chip experience we have a rough estimate. If a wire goes for "n" number of fanout, then we estimate its delay as say "x" delay units. So a model file is created with the fanout numbers and corresponding estimated delay values. This file is used while performing Synthesis to estimate the delay for Wires, and to estimate the delay for cells, technology specific library model files will be available.

Why do we need WLM?

  • Synthesis happens before Place & Route.
  • No physical layout exists, so actual wire lengths are unknown.
  • WLM provides a statistical approximation of wire capacitance and resistance based on fanout.
  • Allows synthesis tools to optimize cell sizing and buffering realistically.

Key Concepts

  • Fanout: Number of loads a net drives.
  • Statistical Model: Based on historical data from previous chips in the same technology.
  • Estimation: Higher fanout → longer estimated wire → higher delay/capacitance.
  • Technology Specific: Different libraries (e.g., 28nm, 7nm) have different WLMs.

How it works in Synthesis

The synthesis tool uses the WLM file to calculate interconnect parasitics for timing analysis.

/* Example logic flow in Synthesis Tool */

1. Define WLM:
   set_wire_load_model -name "wlm_28nm"

2. Apply Mode:
   set_wire_load_mode "segmented"

3. Synthesis:
   compile_ultra
   // Tool calculates:
   // Wire Delay = f(Fanout)
   // Cell Delay = f(Input Slew, Output Load)
Note: WLM is an approximation. After Place & Route, actual wire lengths are extracted (SPEF files), and timing is re-verified with accurate parasitics. WLM is only for pre-layout synthesis.
WLM bridges the gap between logical design and physical reality during synthesis.
Pre-Layout • Approximation • Fanout-Based

What are the various Design constraints used while performing Synthesis for a design ?

Design Power Optimization Strategies

Various Design Changes to Meet Power Targets

To achieve specific power targets, engineers employ a combination of Architectural/RTL, Clocking, Datapath/Activity Reduction, and Implementation/Library strategies. Below is a comprehensive list of design changes categorized by their primary impact.

Key Insight: Power is primarily driven by Dynamic Power (switching activity, capacitance, voltage squared, frequency) and Static Power (leakage). Most high-level design changes target Dynamic Power, while library and voltage changes often target both.

1. Reduce Switching Activity (Dynamic Power)

Reducing the number of logic transitions per cycle directly lowers dynamic power ($P_{dyn} = \alpha C V^2 f$).

  • Clock Gating: Insert clock gating cells (ICG) to disable clocks to flops when data is not changing or when the block is idle.
    • RTL level: Use enable signals on flip-flops.
    • Implementation: Tool inserts integrated clock gating cells.
  • Data Gating / Operand Isolation: Prevent useless toggling in combinational logic (e.g., adders, multipliers) when the output is not used.
    • Example: If a multiplier result is ignored, isolate the inputs to prevent internal switching.
  • Glitch Reduction:
    • Retime pipeline registers to reduce long combinational paths.
    • Balance logic paths to reduce reconvergence glitches.
    • Use one-hot encoding instead of binary for control signals if it reduces toggling.
  • Encoding Optimization:
    • Use Gray Code for counters and FIFO pointers to minimize bit flips per step.
    • Use Bus Inversion to minimize average switching activity on buses.

2. Lower Frequency or Active Time

Since dynamic power is linearly proportional to frequency ($f$), reducing clock speed or active time saves power.

  • DVFS (Dynamic Voltage and Frequency Scaling): Design the system to support multiple performance modes. Run at low frequency/voltage when full speed is not needed.
  • Race-to-Sleep: If the workload is bursty, optimize the design to complete tasks quickly and enter a low-power idle state, rather than running continuously.
  • Reduced Over-Pipelining: While more pipelines allow higher frequency, they increase clock tree power and register count. Sometimes, fewer stages (lower frequency) are more energy-efficient for a given task.

3. Reduce Capacitance ($C$) Being Switched

Lower capacitance on wires and input pins reduces energy per switch.

  • Reduce Fanout: Minimize the number of loads on a net. Use fanout trees or buffer trees to avoid large fanout on single drivers.
  • Datapath Width Optimization:
    • Trim unused bits (e.g., use 16-bit instead of 32-bit if data range allows).
    • Use saturation arithmetic to reduce bit-width requirements.
  • Memory Hierarchy:
    • Replace large arrays of flip-flops with SRAM macros. SRAM cells are smaller and have lower energy per bit than standard cells.

4. Reduce Supply Voltage & Leakage (Static Power)

Voltage is squared in the dynamic power equation, making it the most powerful lever. Static power is critical in modern deep-nanometer nodes.

  • Multi-Voltage Domains (MPV):
    • Partition the design into high-speed (high voltage) and low-speed (low voltage) blocks.
    • Run non-critical blocks (e.g., debug logic, slow interfaces) at a lower $V_{DD}$.
    • Requires level shifters and isolation cells at domain boundaries.
  • Power Gating:
    • Completely shut off power to idle blocks using power switches.
    • Requires state retention registers to save context.
    • Note: Clock gating does not reduce leakage; only power gating does.
  • Library Cell Selection:
    • Use High-Vt (High Threshold) cells for non-timing-critical paths to reduce leakage.
    • Use Multi-Vt libraries to balance performance and power.
  • Multi-Bit Flops:
    • Use DFF2, DFF4, etc., instead of single DFFs. This reduces the total number of clock pins and associated capacitance.

5. Optimize Arithmetic & Architecture

Algorithmic and architectural changes can significantly reduce the hardware required for computation.

  • Approximate Computing: If the application tolerates errors (e.g., audio, image processing), use approximate multipliers/adders with fewer bits or simplified logic.
  • Resource Sharing:
    • Time-multiplex functional units (ALUs, multipliers) across different parts of the design.
    • Trade-off: Reduced area and power, but potentially lower throughput.
  • Efficient Arithmetic:
    • Use shift-and-add operations instead of hardware multipliers where possible.
    • Replace wide MUX trees with hierarchical or encoded selects to reduce switching in selection logic.

6. Memory & Interface Power Optimization

Memory accesses and I/O toggling are often major power contributors.

  • Memory Access Optimization:
    • Implement Caching to reduce off-chip memory accesses.
    • Batch reads/writes to reduce transaction overhead.
    • Enable clock enables on RAM ports to prevent internal switching when idle.
    • Avoid redundant reads/writes of the same data.
  • I/O Power Reduction:
    • Use slower slew-rate I/O cells if timing allows (reduces overshoot/undershoot energy).
    • Reduce drive strength on I/O pins where possible.
    • Use bus encoding to minimize toggling on external interfaces.

7. Synthesis & Implementation Knobs

These are applied during the synthesis and P&R stages to refine power.

  • Power-Driven Compilation:
    • Set set_max_dynamic_power and set_max_leakage_power constraints.
    • Enable set_power_optimization in synthesis tools (e.g., Design Compiler, Genus).
  • DRC Compliance:
    • Ensure max_capacitance, max_fanout, and max_transition are met. Violations often force the tool to insert larger, higher-power buffers.
  • Corner Analysis:
    • Optimize for Typical conditions for power, not just Worst-Case for timing. Over-designing for worst-case timing can increase area and power unnecessarily.

8. Verification & Measurement-Driven Iteration

Blind optimization is inefficient. Use data to guide changes.

  • SAIF/VCD-Based Power Estimation:
    • Run simulations with realistic test vectors to generate activity files (SAIF/VCD).
    • Feed these into the power estimation tool to identify hotspots.
  • Top Contributor Analysis:
    • Focus on the top 3-5 contributors: usually the clock tree, high-activity buses, large combinational blocks, or memory interfaces.

Summary: Power Optimization Levers by Domain

Domain Technique Primary Power Target
RTL / Architecture Clock Gating Dynamic
Operand Isolation Dynamic
Resource Sharing / Approximate Computing Dynamic + Area
System Level DVFS / Multi-Voltage Dynamic + Static
Power Gating Static (Leakage)
Implementation High-Vt Cells Static (Leakage)
Multi-Bit Flops / SRAMs Dynamic (Capacitance)
Verification SAIF/VCD Analysis Guides all above
Final Recommendation: Always start with Architectural/RTL changes (Clock gating, operand isolation) as they offer the largest relative improvement with minimal cost. Follow with Implementation strategies (Multi-Vt, Power Gating) to fine-tune the remaining gap. Use SAIF/VCD data to prioritize efforts on the most active parts of the design.

What are the various Design constraints used while performing Synthesis for a design ?

1. Timing Constraints

These comes under timing constraints , they are clock constraints like creating_clock, clock 
uncertainity . generative clock , clock latency etc , IO delay, timing exceptions.

Exmaple : 

# Define clock
create_clock -name clk -period 10 [get_ports clk]

# Clock uncertainty (jitter + skew)
set_clock_uncertainty 0.5 [get_clocks clk]

# Clock latency
set_clock_latency 2.0 [get_clocks clk]

# Clock transition
set_clock_transition 0.1 [get_clocks clk]

# Input/Output delays
set_input_delay 2.0 -clock clk [get_ports din]
set_output_delay 1.5 -clock clk [get_ports dout]

# False paths (paths not to be timed)
set_false_path -from [get_cells reg_A] -to [get_cells reg_B]

# Multicycle paths
set_multicycle_path 2 -setup -from [get_cells reg_X] -to [get_cells reg_Y]

# Maximum/Minimum delays
set_max_delay 5.0 -from A -to B
set_min_delay 1.0 -from A -to B

2. Area Constraints

# Set maximum area (in library units)
set_max_area 5000

# Area optimization effort
set_max_area 0   ;# Tool tries to minimize area as much as possible

3. Power Constraints

# Set maximum dynamic power
set_max_dynamic_power 100mW

# Set maximum leakage power
set_max_leakage_power 50uW

# Power optimization mode
set_power_optimization true

 

4. Design Rule Constraints (DRC)

# Maximum fanout
set_max_fanout 16 [get_designs TOP]

# Maximum capacitance
set_max_capacitance 0.5 [get_designs TOP]

# Maximum transition time
set_max_transition 0.4 [get_designs TOP]

5. Environment Constraints

# PVT (Process-Voltage-Temperature) corners
set_operating_conditions WORST   ;# Slow corner
set_operating_conditions BEST    ;# Fast corner
set_operating_conditions TYPICAL ;# Typical corner

# Estimates wire parasitics before place & route
set_wire_load_model -name "wlm_10k" -library tech_lib
set_wire_load_mode top/segmented/enclosed

6. I/O Constraints

# Drive strength of input ports
set_drive      0    [get_ports clk]      ;# Ideal driver
set_drive      1.0  [get_ports din]      ;# Resistance in ohms

# Driving cell (more accurate)
set_driving_cell -lib_cell BUFX4 [get_ports din]

# Output load
set_load 0.1 [get_ports dout]           ;# Capacitance in pF

7. Optimization Constraints

# Compile effort
compile_ultra -effort high

# Boundary optimization
set_boundary_optimization [get_designs TOP] true

# Don't touch / Don't use
set_dont_touch [get_cells critical_inst]
set_dont_use   [get_lib_cells *SLOWCELL*]

# Size only (no topology change)
set_size_only  [get_cells inst_A]

8. Timing Exception Constraints

Constraint
Description
set_false_path
Path excluded from timing analysis
set_multicycle_path
Path allowed multiple clock cycles
set_max_delay
Maximum delay on a path
set_min_delay
Minimum delay (hold) on a path
set_disable_timing
Disable timing arc of a cell


Would you like to see the sample SDC file ?