l12: reconfigurable logic architecturesweb.mit.edu/6.111/www/s2008/lectures/l12.pdf · l12: 6.111...

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L12: 6.111 Spring 2008 1 Introductory Digital Systems Laboratory L12: Reconfigurable Logic Architectures L12: Reconfigurable Logic Architectures Acknowledgements: ¾ Lecture material adapted from R. Katz, G. Borriello, “Contemporary Logic Design” (second edition), Copyright 2005 Prentice-Hall/Pearson Education. ¾ Frank Honore ¾Lecture Notes prepared by Professor Anantha Chandrakasan

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Page 1: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 1Introductory Digital Systems Laboratory

L12: Reconfigurable Logic ArchitecturesL12: Reconfigurable Logic Architectures

Acknowledgements:

Lecture material adapted from R. Katz, G. Borriello, “Contemporary Logic Design”(second edition), Copyright 2005 Prentice-Hall/Pearson Education.

Frank Honore

Lecture Notes prepared by Professor Anantha Chandrakasan

Page 2: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 2Introductory Digital Systems Laboratory

History of Computational FabricsHistory of Computational Fabrics

Discrete devices: relays, transistors (1940s-50s)Discrete logic gates (1950s-60s)Integrated circuits (1960s-70s)

e.g. TTL packages: Data Book for 100’s of different parts

Gate Arrays (IBM 1970s)Transistors are pre-placed on the chip & Place and Route software puts the chip together automatically – only program the interconnect (mask programming)

Software Based Schemes (1970’s- present)Run instructions on a general purpose core

Programmable Logic (1980’s to present)A chip that be reprogrammed after it has been fabricatedExamples: PALs, EPROM, EEPROM, PLDs, FPGAsExcellent support for mapping from Verilog

ASIC Design (1980’s to present)Turn Verilog directly into layout using a library of standard cells Effective for high-volume and efficient use of silicon area

Page 3: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 3Introductory Digital Systems Laboratory

Reconfigurable LogicReconfigurable Logic

Logic blocksTo implement combinationaland sequential logic

InterconnectWires to connect inputs andoutputs to logic blocks

I/O blocksSpecial logic blocks at periphery of device forexternal connections

Key questions:How to make logic blocks programmable?(after chip has been fabbed!)What should the logic granularity be?How to make the wires programmable?(after chip has been fabbed!)Specialized wiring structures for localvs. long distance routes?How many wires per logic block?

LogicLogic

Configuration

Inputs Outputsn m

Q

QSET

CLR

D

Page 4: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 4Introductory Digital Systems Laboratory

Programmable Array Logic (PAL)Programmable Array Logic (PAL)

Based on the fact that any combinational logic can be realized as a sum-of-productsPALs feature an array of AND-OR gates with programmable interconnect

input signals

output signals

programming of product terms

programming of sum terms

AND array OR array

Page 5: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 5Introductory Digital Systems Laboratory

Inside the 22v10 PALInside the 22v10 PAL

Each input pin (and its complement) sent to the AND arrayOR gates for each output can take 8-16 product terms, depending on output pin“Macrocell” block provides additional output flexibility...

Page 6: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 6Introductory Digital Systems Laboratory

Cypress PAL CE22V10Cypress PAL CE22V10

Combinational/active low

Combinational/active high

Outputs may be registered or combinational, positive or inverted

From Lattice SemiconductorFrom Cypress

Page 7: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 7Introductory Digital Systems Laboratory

RAM Based Field Programmable RAM Based Field Programmable Logic Logic -- XilinxXilinx

CLB

CLB

CLB

CLB

SwitchMatrix

ProgrammableInterconnect I/O Blocks (IOBs)

ConfigurableLogic Blocks (CLBs)

D Q

SlewRate

Control

PassivePull-Up,

Pull-Down

Delay

Vcc

OutputBuffer

InputBuffer

Q D

Pad

D QSD

RDEC

S/RControl

D QSD

RDEC

S/RControl

1

1

F'G'

H'

DIN

F'G'

H'

DIN

F'

G'H'

H'

HFunc.Gen.

GFunc.Gen.

FFunc.Gen.

G4G3G2G1

F4F3F2F1

C4C1 C2 C3

K

Y

X

H1 DIN S/R EC

Page 8: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 8Introductory Digital Systems Laboratory

The Xilinx 4000 CLBThe Xilinx 4000 CLB

Page 9: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 9Introductory Digital Systems Laboratory

Two 4Two 4--input Functions, Registered Outputinput Functions, Registered Output and a Two Input Functionand a Two Input Function

Page 10: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 10Introductory Digital Systems Laboratory

55--input Function, Combinational Outputinput Function, Combinational Output

Page 11: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 11Introductory Digital Systems Laboratory

LUT MappingLUT Mapping

N-LUT direct implementation of a truth table: any function of n-inputs.N-LUT requires 2N storage elements (latches)N-inputs select one latch location (like a memory)

4LUT example

Latches set by configuration bitstream

Inputs

Output

Why Latches and Not Registers?

Page 12: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 12Introductory Digital Systems Laboratory

Configuring the CLB as a RAMConfiguring the CLB as a RAM

Memory is built using Latches not FFs

Read is same a LUT Function!

16x2

Page 13: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 13Introductory Digital Systems Laboratory

Xilinx 4000 InterconnectXilinx 4000 Interconnect

Page 14: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 14Introductory Digital Systems Laboratory

Xilinx 4000 Interconnect DetailsXilinx 4000 Interconnect Details

Wires are not ideal!

Page 15: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 15Introductory Digital Systems Laboratory

Xilinx 4000 Flexible IOBXilinx 4000 Flexible IOB

Adjust Transition Time

Adjust the Sampling Edge

Outputs through FF or bypassed

Page 16: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 16Introductory Digital Systems Laboratory

Add Bells & WhistlesAdd Bells & Whistles

Hard Processor

I/O

BRAM

Gigabit Serial

Multiplier

Programmable Termination

Z

VCCIO

Z

Z

ImpedanceControl Clock

Mgmt

18 Bit

18 Bit36 Bit

Courtesy of David B. Parlour, ISSCC 2004 Tutorial, “The Reality and Promise of Reconfigurable Computing in Digital Signal Processing”

Page 17: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 17Introductory Digital Systems Laboratory

The The VirtexVirtex II CLB (Half Slice Shown)II CLB (Half Slice Shown)

Page 18: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 18Introductory Digital Systems Laboratory

Adder ImplementationAdder Implementation

Y = A ⊕ B ⊕ CinAB

Cin

CoutLUT: A⊕B

1 half-Slice = 1-bit adder

Dedicated carry logic

Page 19: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 19Introductory Digital Systems Laboratory

Carry ChainCarry Chain

1 CLB = 4 Slices = 2, 4-bit adders

64-bit Adder: 16 CLBs

+

CLB15

CLB0A[3:0]B[3:0]

A[63:60]B[63:60]

A[63:0]

B[63:0]Y[63:0]

Y[3:0]

Y[63:60]

Y[64]

CLBs must be in same column

CLB1A[7:4]B[7:4] Y[7:4]

Page 20: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 20Introductory Digital Systems Laboratory

VirtexVirtex II FeaturesII Features

Double Data Rate registers Digital Clock Manager

Embedded MultiplierBlock SelectRAM

Page 21: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 21Introductory Digital Systems Laboratory

The Latest Generation: The Latest Generation: VirtexVirtex--II ProII Pro

Courtesy XilinxHigh-speed I/O

Embedded PowerPc

Embedded memories

Hardwired multipliers

FPGA Fabric

Page 22: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 22Introductory Digital Systems Laboratory

AlteraAltera’’ss New New StratixStratix ArchitectureArchitecture

Embedded DSP feature: 9x9, 18x18, 36x36 with 52-bit accumulatorUp to 11,310 LE’s, 10Mbits RAM10 LE’s per LAB

Page 23: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 23Introductory Digital Systems Laboratory

Design Flow Design Flow -- MappingMapping

Technology Mapping: Schematic/HDL to Physical Logic unitsCompile functions into basic LUT-based groups (function of target architecture)

always @(posedge Clock or negedge Reset)beginif (! Reset)

q <= 0;else

q <= (a & b & c) | (b & d);end

Q

QSET

CLR

D

LUTQ

QSET

CLR

D

abc

db

Page 24: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 24Introductory Digital Systems Laboratory

Design Flow Design Flow –– Placement & RoutePlacement & Route

Placement – assign logic location on a particular device

LUT

LUT

LUT

Routing – iterative process to connect CLB inputs/outputs and IOBs. Optimizes critical path delay – can take hours or days for large, dense designs

Iterate placement if timing not met

Satisfy timing? Generate Bitstream to config device

Challenge! Cannot use full chip for reasonable speeds (wires are not ideal). Typically no more than 50% utilization.

Page 25: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 25Introductory Digital Systems Laboratory

Example: Example: VerilogVerilog to FPGAto FPGA

module adder64 (a, b, sum); input [63:0] a, b; output [63:0] sum;

assign sum = a + b;endmodule

Virtex II – XC2V2000

• Synthesis• Tech Map• Place&Route

64-bit Adder Example

Page 26: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 26Introductory Digital Systems Laboratory

How are How are FPGAsFPGAs Used?Used?

(courtesy of IKOS)FPGA-based Emulator

Logic EmulationPrototyping

Ensemble of gate arrays used to emulate a circuit to be manufacturedGet more/better/faster debugging done than with simulation

Reconfigurable hardwareOne hardware block used to implement more than one function

Special-purpose computation engines

Hardware dedicated to solving one problem (or class of problems)Accelerators attached to general-purpose computers (e.g., in a cell phone!)

Page 27: L12: Reconfigurable Logic Architecturesweb.mit.edu/6.111/www/s2008/LECTURES/l12.pdf · L12: 6.111 Spring 2008 Introductory Digital Systems Laboratory 2. History of Computational Fabrics

L12: 6.111 Spring 2008 27Introductory Digital Systems Laboratory

SummarySummary

FPGA provide a flexible platform for implementing digital computingA rich set of macros and I/Os supported (multipliers, block RAMS, ROMS, high-speed I/O)A wide range of applications from prototyping (to validate a design before ASIC mapping) to high-performance spatial computingInterconnects are a major bottleneck (physical design and locality are important considerations)

“College students will study concurrent programming instead of “C” as their first

computing experience.”

-- David B. Parlour, ISSCC 2004 Tutorial