Some Trends in High-level Synthesis Research Tools Tanguy Risset Compsys, Lip, ENS-Lyon

Some Trends in High-level Synthesis Research Tools

Tanguy Risset

Compsys, Lip, ENS-Lyonhttp://www.ens-lyon.fr/COMPSYS

2

Outline

• Context: Why High level synthesis?

• HLS Hard problems

• Some solution in existing tools

• Some on-going projects

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Context: Embedded Computing Systems design

• SoC or MPSoC for multimedia application will soon includes: Network on chip dozens of initiators (CPU, DMA,…) Mbytes of code Operating systems Shared memory coherency protocols …

• SoC Design problems: Time to market Design space exploration Software complexity

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Some envisaged solutions

• Time to market IP re-use High level design

• Design space exploration Fast prototyping and performance evaluation, refinement

methodology (specification, algorithm, TLM, CABA)

• Software complexity Tools for embedded code generation/embedded OS

• High level synthesis is only a small part of the « High level Design » process

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Definition of High Level Synthesis

• HLS: Generates register-transfer level description from behavioral specification, in an automatic or semi-automatic way.

• Input: A behavioral specification Design constraints Library of available RTL components

• Output: RTL description Performance evaluations

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IP block design

System application design

Refinement : from algorithm to hardware• MatlabMatlab• CC

block implementation • RTL SynthesisRTL Synthesisblock implementation • RTL SynthesisRTL Synthesis, VHDL, Verilog, VHDL, Verilog

block specification

algorithmic explorationalgorithmdomain

SoC platform design

abstract architecture

virtual prototype

TransactionLevel

Modeling

• SoC Intermediate RepresentationSoC Intermediate Representation

ArchitectureDescriptionLanguage

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Abstraction levels for HLS

• AL = Algorithm prior to HW/SW partition

• TLM = Transaction-Level Model after HW/SW partition models bit-true behavior, register bank, data transfers, system synchronisation no timing needed

• T-TLM= Timed TLM (also PVT) TLM + timing annotation refined communication model

• CABA = Cycle Accurate-Bit Accurate models state at each clock edge

• RT = Register Transfer (ASIC flow entry point) synthesisable model

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Pro’s and Cons

• « Traditional » motivations: Fast design Safe design : formal refinement approach « Must be used » to cope with Moore’s law

• But! Commercial tools are not here A new tool is a big investment Designers have managed without it

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New motivations ?

• IP-reuse Slightly change design parameter for re-using IP

• New target technologies and languages (FPGA, SystemC, etc.) Tools can easily re-target the designs

• CAD tools companies are investing a lot in « high level-like » synthesis tools Monet, Behavioural compiler, VCC, …

• Technological advantage Traditional RTL design will be de-localized to Asia

10

Outline

• Context: Why High level synthesis?

• HLS Hard problems

• Some solution in existing tools

• Some on-going projects

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HLS Hard Problems

• Huge design space Complex design space exploration Multi-criteria optimization techniques

• Integration into a design environment Lack of standard interchange format SoC simulation time is a crucial issue

• Acceptance by the designers Find a language common to SoC designers and tools designer

• Refinement technical problems (detailed hereafter)

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HLS technical problems

• Compilation occurs when the target architecture is precisely known

• In HLS, target architecture is only partially specified, Examples: Data-flow architecture/systolic arrays : pure RTL description FSM+data path : closer to processor description

• HLS technical problems : Initial specification format / language Specification refinement : fixed point arithmetic Scheduling/Mapping refinement: resource constraints Technological Mapping refinement

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Initial specification format

• Restriction on the input language expressivity are necessary

• … but designers hate new languages

• C-like language (handel-C, silicon-C,hardware-C, etc…) are actually hardware description languages

• Main problems: How to express parallelism/sequentially

- Data-flow, CSP-like, process network, event-driven

How to express both algorithmic and RTL description How much expressivity

- Dynamic control, loops

How to introduce constraints/hints

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Fixed point arithmetic

• Problem: translate a floating point computation to fixed point computation

• Most of the tools start with an initial fixed point specification found by extensive simulation.

• Automatic techniques are not handling loops

• In the case of signal processing application the signal processing theory can help (transfer function used to compute signal-to-noise ratio).

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Scheduling/Mapping

• For a « basic bloc », resource constraints scheduling is NP-Hard, but widely studied.

• Computations Currently, two way to handle loops:

- Unroll them- Keep them sequential

Other solutions:- Use software pipelining theory- Use the polyhedral model

• Memory and communication Memory mapping is usually strongly guided by the user

- Highly active research field (Catthoor, Darte) Communication refinement is also an important issue

- Highly dependent on the chosen computation model (Gajski, Kenhuis)

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Technological mapping refinement

• Fine technological mapping are very target-dependent

• Predefined libraries are not precise enough Delays on wires Power consumption

• VLSI designers « tricks » are difficult to integrate in tools

• Sub-Micronics technologies constraints are changing too fast for high level tools Cross talk Capacitance

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Outline

• Context: Why High level synthesis?

• HLS Hard problems

• Some solution in existing tools

• Some on-going projects

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Some solution in existing tools

• Digital signal processing circuits: Gaut: http://lester.univ-ubs.fr:8080 Source: signal processing (one infinite loop) Target: RTL + FSM

• FSM+datapath Ugh: http://www-asim.lip6.fr/recherche/disydent/ Source: restricted C Target: FSM+data path

• Regular computation and polyhedral Model MMAlpha: http://www.irisa.fr/cosi/ALPHA/ Source : functional specification Systolic like architectures

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GAUT:Génération Automatic d’Unité de Traitement

• Developed first at LASTI (Lannion) and then LESTER (Lorient): free• Generate RTL description from behavioral description for signal

processing algorithm• Kernel technology: highly optimized ressource constraint scheduling• Inputs are

- a behavioral VHDL description (one process repeated infinitely)

- Libraries of operators pre-characterized- Some design constraints

• Outputs are - a synthesizable RTL VHDL description (data path, memory,

and communication units)- Gantt chart for I/O specification

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Compiling-analyzing-loop unrolling

Synthesis-selection-SchedulingMapping

Behavioral descriptionVHDL

Operator library

RTL description(data path+control)

graph

Memory and IO specifications

.src .lib

.gc

.vhd .mem

Gaut design flow

User constraints:Latency, clock frequency

Operators, Alloc,etc.

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Gaut : VHDL Input code

• Sequential instruction in one single process (no clock, no reset, no sensitivity list)

ENTITY fir ISPORT (xn:IN INTEGER; yn:OUT INTEGER);

END fir;

ARCHITECTURE behavioral OF fir IS...

BEGINPROCESS

VARIABLE H,x: vecteur;VARIABLE tmp: INTEGER;VARIABLE i: CONTROL;

BEGINtmp := xn * H(0);FOR i IN 1 TO N-1 LOOP

tmp := tmp + x(i) * H(i);END LOOP;yn <= tmp;FOR i IN N-1 DOWNTO 2 LOOP

x(i) := x(i-1);END LOOP;x(1) := xn;WAIT FOR cadence;

END PROCESS;END behavioral;

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Gaut : Input code

• Types Bit, boolean, std_logic, Integer (single size), Bit_Vector,

Std_Logic_Vector Arrays (to be inlined)

• Sequential instructions Signal and variables assignment Only one level of if For and While loops (to be inlined) Procedure calls (to be inlined) Function calls corresponding to library elements

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Gaut step1: Source code transformation

• Control dependence elimination Loop unrolling

y ( 0 ) := x ( 0 ) * h ( 0 ) ; y ( 0 ) := x ( 0 ) * h ( 0 ) ;

for i in 1 to n - 1 loop y ( 1 ) := y ( 1 - 1 ) + x ( 1 ) * h ( 1 );

y ( i ) := y ( i - 1 ) + x ( i ) * h ( i ) ; y ( 2 ) := y ( 2 - 1 ) + x ( 2 ) * h ( 2 ) ;

end loop ; y ( 3 ) := y ( 3 - 1 ) + x ( 3 ) * h ( 3 ) ;

Procedure inlining

Static single assignmentb := x + z ; b := x + z ;a := b + c ; a := b + c ; b := e + f ; b0001 := e + f ;y := b; y := b0001;

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Gaut step1: Source code transformation

• Simple expression generationb := x + z * u ; tmp := z * u ;

b := x + tmp ;

• Constant propagation • Generation of GC Graph (Data-Flow Graph Format of Synchronous

Programming)

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GAUT step 2: Scheduling/Mapping

• In addition to throughput and clock cycle, the user can give: Ressource constraints and mapping constraints Memory constraints I/O constraints Optimization type

• The result is an architecture and a GANTT charts For computations For I/O For memory

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Gaut step 3: memory and communication synthesis

• Optimizing memory layout and minimizing busesA

SIC

I/O

Communication unit

Datapath Memory unit

Control

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Gaut: summary

• Advantages Advanced development status (still research tool) User guided synthesis Open library Active research team: memory optimization, communication

synthesis

• Drawbacks Loop flattening (complexity problem) Predefined timing characteristics Hard to get out of 1D signal processing

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Ugh: User Guided High Level Synthesis

• Developed at LIP6 (Paris), as part of the Disydent project (Digital System Design Environment): open source

• Behavioral level synthesis tool for control dominated coprocessor• Emphasis on precise timing estimation• Kernel technology: ressource constraint scheduling and (GNU-like) compiler

construction technology• Inputs are

- a C or VHDL behavioral description with KPN communication primitives

- a draft data-path- a cycle time constraint TC

• Outputs are - a synthesizable RTL VHDL model- a cycle accurate simulation model

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Coprocessor System Environment

Bus

unit

Coprocessor

Processor

R3000

ICache DCache

PI-BUS

RAM

Controller

M/S Interface

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UGH Structure

AnnotationsTiming

Caba simulationData-Path + FSM Model

Synthesis +Characterization

UGH-FGSUGH-CGS

Data-Path

Draft

VHDL

Ugh C

FSM/CVHDL

Data-Path

CellLibrary

Depends on theSynthesis tool

VHDL

CK

Coarse grain scheduler

Fine grain scheduler

(Synopsys)

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Input 1 : UGH-C

•Library IEEE;•Useieee.std_logic_arith.all;•entity HCF is •port (CK : in bit;• DINA : in integer;• READA : out bit;• ROKA : in bit;• DINB : in integer;• READA : out bit;• ROKA : in bit;• DOUT : out integer;• WRITE : out bit;• WOK : int bit);•end HCF;

#include <ughc.h>ugh_inChannel32 work2hcfa;ugh_inChannel32 work2hcfb;ugh_outChannel32 hcf2work;uint32 a,b;void hcf(void){

while (a != b)if (a < b) b = b - a;else a = a - b;

}int ugh_main(){

while (1) {channelRead(work2hcfa,&a);

channelRead(work2hcfb,&b);hcf();channelWrite(hcf2work,&a);

}}

C Description

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Input 2 : Draft Data-path

S

b

QD

a

D Q

Subst

A

B

work2hcfa

model Hcf(sofifo hcf2work; sififo work2hcfa, work2hcfa)

{DFFl a, b;SUB subst;

subst.A = a.Q, b.Q;subst.B = a.Q, b.Q;

a.D = subst.S, work2hcfa;b.D = subst.S, work2hcfb;

hcf2work= subst.S;} w

ork2hcfb

hcf2work

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OUTPUT 1 : Refined Data path

zi0

i1d

i1

i0

qdzi0

i1z

i1

i0a

s

b

z

q z op

coRegA

RegB

M2

M1

M3

M4 Subst

sel_m1 we_ra sel_m4 inf zero

op_substsel_m3we_rbsel_m2ck

dinb

dina

dout

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OUTPUT 2 : FSM for control

IF

S1 S2

RESET

READY

READA

READB

START

ROKA

ROKB

START

RESET

RESET

ROKA ROKB

WRITE

WOK

WOK

WHILE

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Ugh summary

• Advantages Precise timing information Multi cycle operation Almost a compiler approach (restricted target architecture) Interfacing (Integrated in a SoC design environment)

• Drawbacks Development status (research tool) Low level information given by the user Highly dependent on commercial tool (synopsys) Dedicated to control oriented applications

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MMAlpha

• Developed in Irisa (Rennes): open source

• High level synthesis of highly pipelined accelerators

• Kernel technology: polyhedral model and systolic design methodology

• Emphasis on loop transformations

• Input : functional specification (Alpha langage)

• Output : RTL description of systolic-like architecture (Alpha or VHDL)

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C

For i=1:1:NFor j=1:1:N

Alpha

FPGA

host

busUniformization

RTL derivation

SchedulingVHDL

VHDL

C

C

C

MMAlpha design flow

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What is polyhedral model?

• Abstract a loop nest by the polyhedron described by the loop indices during execution of the loop

• Can be used for any index-based structure : memory (arrays), communications (accesses), etc…

• example: convolution (FIR filter)

1

0

)()()(N

n

nixnHiy

for (i=N; i<=M; i++) { y(i)=0; for (n =0; n<=N-1; j++)) {

y(i)=y(i)+H(n)x(i-n)}}

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FIR: iteration space

H(N-1)

H(0)

y(N)

y(N+1)

0 0

x(N) x(N+1)

i

n

41

FIR polyhedral representation (MMAlpha input language)

H(N-1)

H(0)

y(N)

y(N+1)

0 0

x(N) x(N+1)

i

n

]H[n]*x[i-n]Y[i,nY[i,n]NnMiNni 1 10 ;,

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MMAlpha polyhedral scheduling

H(N-1)

H(0)

y(N)

y(N+1)

0 0

x(N) x(N+1)

t=4 5 6

i

n

]H[n]*x[i-n]Y[i,nY[i,n]NnMiNni 1 10 ;,

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MMAlpha space time transformation

p]H[p]*x[t-],pY[tY[t,p]NpMNptppt 211 10 ;,

H(N-1)

H(0)

y(N)

0 0

x(N) x(N+1)t=4 5 6

t

p

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MMAlpha mapping p]H[p]*x[t-],pY[tY[t,p]NpMNptppt 211 10 ;,

H(N-1)

H(0)

y(N)

0 0

x(N) x(N+1)t=4 5 6

t

p

H

0

y

x

i

45

MMAlpha resulting architecture

x(n-2N+D+1)

w w1 2

y(n)

x(n-2N+2)

w

w N-1

p=1 p=N-1

0w

y(n)

d(n)

p=0

x(n+D-1)

D-1 x(n)

e(n-N+1)

+-

e(n)

N-1

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MMAlpha current features

• Tool box for designers: Powerful analyze tools Pipelining, Change of basis, multi-dimensionnal scheduling,

control signal generation. Code generation (C, VHDL) Hierarchical design methodology

• Work in progress: Ressource constraint scheduling (extention to Z-polyhedra) Multi-dimensionnal scheduling and memory synthesys

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MMAlpha summary

• Advantages Design tool integrating loop transformation Parameterised design (N: size of the filter not fixed until VHDL

generation) Formal approach for refinement (functional to operational) A real language that syntactically captures HLS input restriction

• Drawbacks Does not yet handle resource constraints A language (Alpha) and design methodology very different from

designer’s habits Implementation status (research tool)

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Some Design results

• Ugh compares IDCT with CoWare and Gaut but the results are highly dependent upon design parameters

• MMAlpha demonstrates real implementation on FPGA co-processor board (DLMS algorithm)

Ck period (ns) #cycle execution

Exec time (µs)

Area (mm^2) Area (#inverter)

Manual (time optimised)

10.41 118 1.228 N-A 242.1

CoWare 21 1 645 34.545 19.94 165.6

Gaut 17.5 526 9.2 19 123.5

Ugh 17 1 466 25.922 10.9 70.9

8 tap DLMS filter Area Clk cycle Synthesis time

MMAlpha 2600 slices 35MHz 112 s

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Outline

• Context: Why High level synthesis?

• HLS Hard problems

• Some solution in existing tools

• Conclusion and on-going projects

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HLS conclusion

• HLS tools are not mature enough to produce the famous « C-to-VHDL » magic tool

• Most tool designer agree that a highly « user guided » approach is mandatory

• CAD tools are still actively developping tools (Mentor: Catapult-C, CoWare: Cocentric….)

• Some progress have been made Domain specific constraints are more clearly identified (control

oriented or data flow) Interfacing is studied together with the synthesis Fast simulation is an important issue addressed by HLS tools

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On-going project: Data-Flow IP interface

• Gaut (Lester) and MMAlpha (Irisa, Lip) are developing a common interface for their IPs (data-flow Ips)

VCI

I_FIFO 1

I_FIFO 2

O_FIFO1

O_FIFO2

CTRL

CTRL

IN

OUT

inputpatterns

patternsoutput

Dat

aflo

w H

ardw

are A

ccel

erat

or

Net

wor

kG

ener

ic

VCI

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On-going project: SocLib

• SocLib environment Public domain systemC simulation models for SoC IP:

- Cycle-accurate hardware simulation

- TLM Simulation

VCI interconnection standard French open academic initiative (should become European through

EuroSoc):http://soclib.lip6.fr/

• Typical platform:

prog

VCI Cache

MIPS

RAM TTY DMA

prog.c

GCC-MIPS

MIPS exec

prog boot

VCI Cache

MIPS

VCI Cache

MIPS

VCI VCI

ASIC

VCI Cache

MIPS

Bus / Network on chip (SPIN)

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On-going project: Loop transformation for compilation

• Unified loop nest transformation framework for optimization of compute/data intensive programs (Alchemy Inria project: http://www-rocq.inria.fr/~acohen/software.html).

• WRaP-IT: and Open-64/ORC Interface tool

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Thanks• Slides with Help from Lester, LIP6

• Here are some tools I did not talk about: Amical, Cathedral, High2, RapidPath, Flash, A/RT, Compaan, Syndex, Phideo, Bach, SPARK, CriticalBlue, Chinook, SCE, CodeSign, Esterel, precisionC, Polis, Atomium, Ptolemy, Handel-

C, Cyber, Bridge, MCSE, Madeo, SpecC, and many more….

Any Questions ?