demystifying data-driven and pausible clocking schemes

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Demystifying Data-Driven and Pausible Clocking Schemes Robert Mullins Computer Architecture Group Computer Laboratory, University of Cambridge ASYNC 2007, 13 th IEEE International Symposium on Asynchronous Circuits and Systems

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Demystifying Data-Driven and Pausible Clocking Schemes. Robert Mullins Computer Architecture Group Computer Laboratory, University of Cambridge ASYNC 2007, 13 th IEEE International Symposium on Asynchronous Circuits and Systems. System-Timing: Emerging Challenges. - PowerPoint PPT Presentation

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Page 1: Demystifying Data-Driven and Pausible Clocking Schemes

Demystifying Data-Driven and Pausible Clocking Schemes

Robert MullinsComputer Architecture GroupComputer Laboratory, University of CambridgeASYNC 2007, 13th IEEE International Symposium on Asynchronous Circuits and Systems

Page 2: Demystifying Data-Driven and Pausible Clocking Schemes

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System-Timing: Emerging Challenges

• Current shift is from complex monolithic designs to networks of energy efficient cores

• Distinct block and system-level timing challenges

• Network-level timing– Physically distributed– Activity may be sparse– Interconnect delay and power

are significant– Significant variations in

temperature, supply voltage and process parameters

Higher-level control, timing and scheduling is naturally event-driven

Page 3: Demystifying Data-Driven and Pausible Clocking Schemes

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Combining Local and Global Approaches to Timing

• Synchronization free approaches• Coping with metastability

– Timing-Safe• Allocate a fixed period of time for metastability to

resolve, e.g. two flip-flop synchronizer

– Value-Safe• Wait for metastability to resolve, e.g. clock

stretching or pausing techniques• Clock is generated locally

• Value-safe ideas are less well understood, avoided by industry

Page 4: Demystifying Data-Driven and Pausible Clocking Schemes

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Advantages of a value-safe approach

• Efficiency – Synchronization delay is minimized– Opportunities for optimization

• Robustness– Inherently robust, no trade-off against performance. – Only way to guarantee data is never lost, no MTBF.

Could still have functional failures if we are delayed too long – don’t hit performance requirements

• Transparency– Synchronous block is unaffected by clocking wrapper. – Less true for traditional synchronization and clock-

gating approaches.• Simplicity and modularity

– I aim to illustrate how simple these schemes are

Page 5: Demystifying Data-Driven and Pausible Clocking Schemes

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Adding an asynchronous interface to a clock generator

CLOCK

Page 6: Demystifying Data-Driven and Pausible Clocking Schemes

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Adding an asynchronous interface to a clock generator

C

Req

Ack

CLOCK

Page 7: Demystifying Data-Driven and Pausible Clocking Schemes

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Adding an asynchronous interface to a clock generator

C

CLOCK

Page 8: Demystifying Data-Driven and Pausible Clocking Schemes

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Adding an asynchronous interface to a clock generator

C

Req Grant

MU

TEX

CLOCK

Page 9: Demystifying Data-Driven and Pausible Clocking Schemes

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Input register driven by a

pausible clock

Page 10: Demystifying Data-Driven and Pausible Clocking Schemes

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C C

CLOCK

Ack

Req

CLOCK

Req Grant

MU

TEX

Data-Driven Clock Pausible Clock

- May need to add a mechanism to ensure block receives enough clock edges, e.g. to flush pipeline

- Need to add an explicit sleep mechanism if we want to halt clock generator during periods of inactivity

Helps classify and understand existing techniques. In reality, the design space is a continuum

Page 11: Demystifying Data-Driven and Pausible Clocking Schemes

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Stretchable Clocks

A type of data-driven clock

1. Rising clock edge is generated

2. Stretch signal may be asserted (synchronously) in response to clk+

3. Low-phase of clock is stretched until some operation has completed and stretch signal is removed

Page 12: Demystifying Data-Driven and Pausible Clocking Schemes

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Stretchable Clocks

C

Req

Ack

CLOCK

Page 13: Demystifying Data-Driven and Pausible Clocking Schemes

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Stretchable Clocks

C

Ack

Req

CLOCK

Page 14: Demystifying Data-Driven and Pausible Clocking Schemes

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Stretchable Clocks

C

Ack

Req

CLOCK

Stretch

Page 15: Demystifying Data-Driven and Pausible Clocking Schemes

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Stretchable Clocks

C

Ack

Req

CLOCK

StretchStretch delays Ack+

Page 16: Demystifying Data-Driven and Pausible Clocking Schemes

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Stretchable Clocks

C

Ack

Req

CLOCK

Stretch

Page 17: Demystifying Data-Driven and Pausible Clocking Schemes

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Input Ports

• Arbitrated Inputs– At most one input can be served per cycle

• Synchronised Inputs– Cannot proceed until multiple inputs are ready

• Sampled Inputs– Can progress with a variable number of data inputs

(or none)• Need to also choose event to trigger sampling of inputs

• Paper provides implementation details for each input port type for pausible and data-driven clock generators

Page 18: Demystifying Data-Driven and Pausible Clocking Schemes

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Output Ports

• Scheduled– Ensure data is output on a particular clock cycle, stall

until data is consumed

• Registered– Addition of an output register allows next computation

to proceed while data is consumed

• Polled– Sample output port ready signal and take appropriate

action. Clock period is only ever extended to allow metastability to resolve, not because output is blocked.

Page 19: Demystifying Data-Driven and Pausible Clocking Schemes

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A GALS Wrapper Example

• Free running clock• Asynchronous input

– we know nothing about when data will arrive

– For simplicity, lets assume we can always accept new data

• Registered output feeding asynchronous FIFO

Simple to combine clock generator, input and output ports

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A GALS Wrapper Example: Step 1.

Local clock generator with H/S interface

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A GALS Wrapper Example: Step 2.

Pausible Clock Template

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A GALS Wrapper Example: Step 3.

Provide registered output port

support (stretchable

clock template)

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A GALS Wrapper Example: Step 4.

Page 24: Demystifying Data-Driven and Pausible Clocking Schemes

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Data-Driven Clocking for On-Chip Networks

• Why is global synchrony limiting for on-chip networks?– Reconfigurable networks, adaptive low-voltage

interconnect drivers, irregular topologies, ….• Problem with traditional synchronization

techniques– Latency (could easily double best-case latency, our

routers are single-cycle – support VCs < 30FO4)• Problems with fully-asynchronous

implementations– Latency (for the router designs we have examined)– More difficult to speculate? Scheduling is expensive?

Page 25: Demystifying Data-Driven and Pausible Clocking Schemes

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Data-Driven Clocking for On-Chip Routers

• Router should be clocked when one or more inputs are valid (or flits are buffered)

• Elevator analogy…– Free running (paternoster) elevator

• Chain of open compartments • Must synchronise before you jump on!

– Traditional elevator (data-driven clock)• Wait for someone to arrive• Close doors, decide who is in and who is out• Metastability issue again (potentially painful!)

Page 26: Demystifying Data-Driven and Pausible Clocking Schemes

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Data-Driven Clock with Sampled Inputs

Local Clock Generator TemplateSample inputs

when at least one input is ready (and clock is low)

Assert Lock

Either admitted or locked out

(Close Lift Doors)

Incoming data

Page 27: Demystifying Data-Driven and Pausible Clocking Schemes

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Clock Tree Insertion Delays

• Delay from root to leaf of clock tree can be considerable (certainly non-zero!)

• If every clock cycle is the same, this clock insertion delay is not normally an issue

• If we stretch the clock the insertion delay must be considered in our timing analysis (also true for clock gating in synchronous world)

• Not difficult to handle, but can increase time required to admit new data

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Clock Tree Insertion Delays

Can place logic here

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Clock Tree Insertion Delays

• How do we handle multi-cycle insertion delays?

• In practice, we would want to avoid very large synchronous blocks

• Need to ensure we admit data on the correct clock cycle

• Cannot cheat and promote data!

We simply remember on which clock cycle data has been scheduled to be admitted

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Summary

• Value-safe techniques are simple and robust– Powerful framework for composing synchronous sub-

systems– Build efficient event-driven global communication and

scheduling infrastructure?– Scope for supporting low-power techniques? (self-

timed power-gating, DVFS support, timing-speculation…)

• Scope for exploiting event-driven scheduling and clocking at system-level.

• Synchronization costs are low enough to prompt use in on-chip network applications

• More in the paper, aims to be a useful survey and hopefully fills some gaps too.

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Thank You!