Scalable and Low Cost Design Approach for Variable Block Size Motion Estimation Hadi Afshar, Philip...

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Scalable and Low Cost Design Approach for Variable Block Size Motion Estimation Hadi Afshar, Philip Brisk, Paolo Ienne EPFL 30 April 2009

Transcript of Scalable and Low Cost Design Approach for Variable Block Size Motion Estimation Hadi Afshar, Philip...

Scalable and Low Cost Design Approach for Variable Block Size Motion Estimation

Scalable and Low Cost Design Approach for Variable Block Size Motion Estimation

Hadi Afshar, Philip Brisk, Paolo Ienne

EPFL

Hadi Afshar, Philip Brisk, Paolo Ienne

EPFL

30 April 2009

Fixed Block Size Motion Estimation Fixed Block Size Motion Estimation

Less compression Few motion vectors

Current FrameReference Frame

MBMV

MV: Motion VectorMB: Macro Block 2

Variable Block Size Motion Estimation Variable Block Size Motion Estimation

More compression More motion vectors More computation

MBMV

Current FrameReference Frame

MV: Motion VectorMB: Macro Block 3

Systolic Arrays and Motion EstimationSystolic Arrays and Motion Estimation

Data is shared, low memory bandwidth

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Current FrameReference Frame

MBMV

PE0 PE1 PE2 PEn

MemoryFF FF FF

Comparator

Regfile

Pixel(s)Ref.

C SABS1 ABS4…

Pix Ref Pix Ref

Comparator

Systolic Arrays for VBSMESystolic Arrays for VBSME

PE0 PE1 PE2 PEn

MemoryFF FF FF

16-pixel

16-pixel

Regfile

Regfile

ComparatorSAD MERGE TREE

+ +++

+

Regfile

Comparator

SAD BUS NETWORK

REUSE UNIT

REUSE UNIT

REUSE UNIT

REUSE UNIT

Regfile+

Primitive Blocks

• Yap TCAS 2004• Song IEICE 2006• Chen TCAS 2006• Li FPT 2006

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OutlineOutline

Proposed Design Approach Array Organization Processing Element Design Scheduling

Related WorkCase Study: H.264 VBSMEExperimental Results

VLSI Implementation FPGA Implementation

Conclusion6

Proposed ApproachProposed Approach

Basics: Each PE is augmented by a comparator

unit in addition to the reuse unit Each PE computes the SADs of all sub-

blocks within MB considering a specific reference MB

Each PE is one clock cycle prior to its neighbouring PE

Different PEs compute different SADs of the same MB with different reference MBs

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Proposed ApproachProposed Approach

SADB0,R0

PE2

Ti

Ti+1

Ti+2

Ti+3

PE0PE1

Ti+4

SADB1,R1

SADB2,R2

SADB3,R3

SADB4,R4

SADB0,R1

SADB1,R2

SADB2,R3

SADB3,R4

SADB0,R2

SADB1,R3

SADB2,R4

R0 R1 R3

B0 B1 B2

R2 R4

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Proposed Approach

SB2,R2

SB1,R1

SB0,R0

PE2PE0 PE1

MIN MIN

MIN

MIN

MIN

MIN MIN

MIN MIN

MIN

MIN

MIN MIN

MIN

MINSB0,R1

SB1,R2

SB2,R3

SB0,R2

SB1,R3

SB2,R4

Ti

Ti+1

Ti+2

Ti+3

Ti+4

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Array OrganizationArray Organization

MemoryFF FF

ComparatorSAD BUS NETWORK

REUSE UNIT

PE0

Co

mp

are REUSE

UNIT

PE1

Co

mp

are REUSE

UNIT

PEn

Co

mp

are

Min SAD Register File

Array Organization

- MIN SADs move in the chain and stored in the regfile

- Each PE must compute more than one search region- (# of Pes) < (# of Search regions)

MIN SADReg File

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PE DesignPE Design

CU output(s) of Previous PE

C SABS1 ABS4…

Pix Ref Pix RefFB CU

RU

MIN Reg

Regfile

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PE Design OptimizationPE Design Optimization

To minimize the size of RU register fileEach PE should compare and transfer computed

SADs ASAPParallel comparators are required, when multiple

SADs are produced in the same cycleTransfer Rate

B: # of sub-blocks within MBT: # of cycles required to compute MB SADs

BTR

T

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PE Design OptimizationPE Design Optimization

To minimize the size of RU register fileEach PE should compare and transfer computed

SADs ASAPParallel comparators are required, when multiple

SADs are produced in the same cycleTransfer Rate

B: # of sub-blocks within MBT: # of cycles required to compute MB SADs

Uniform generation of B sub-blocks within T cycles, reduces the RU regfileRegular workflow, simplifies controller

BTR

T

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SAD SchedulingSAD Scheduling

Primitive SADs computations need to be distributed in T cycles

Non-primitive SADs A SAD is generated as soon as its building SADs

are ready Proper scheduling frees SAD registers for other

generated building SADs

We propose zig-zag pattern for reusing Also helps to evenly distribute SAD computations

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SAD SchedulingSAD Scheduling

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VLSI H.264 VBSME Yap [TCAS 2004]: 1-D array with SAD bus network Song [IEICE 2006]: 1-D array with SAD bus network Chen [TCAS 2006] : 2-D array with SAD merge tree, use for

HDTV applications

FPGA H.264 VBSME Wei [2003]: 1-D array with SAD bus network Lopez [ISCAS 2005]: 1-D array using SRAMs with SAD bus

network Li [FPT 2006]: Bit-serial architecture with SAD merge tree

Related WorkRelated Work

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Case Study: H.264 VBSMECase Study: H.264 VBSME

MB = 16x16 pixels, B = 41 sub-blocks, 4x4 primitive blocks

4 PEs Each PE computes 4 pixel SADs in each cycle

Search range: 16x16 pixels for each pixel T = 64 cycles, for each MBFour identical and regular 16-cycles

workflows

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SAD SchedulingSAD Scheduling

Experimental ResultsExperimental Results

H.264 VBSME modelled in VHDLVLSI Implementations

Synopsys DC CMOS libraries

• 0.18 µm: 12k gates, 285 MHz

• 0.13 µm: 18k gates, 400 MHz

FPGA Implementations Altera Quartus, Xilinx ISE Altera APEX, Xilinx VIRTEX-II & STRATIX-II

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VLSI ImplementationVLSI Implementation

MB Processing Time (MBPT) SR: Search Range T: MB SAD cycles N: # of PEs

*

* clk

SR TMBPT

N F

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~20-25%reduction

VLSI ImplementationVLSI Implementation

Gate count (k gates)

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largearea

reduction

FPGA ImplementationFPGA Implementation

Throughput (MB / sec)

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lowerthroughputthan best

designs, but…

FPGA ImplementationFPGA Implementation

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…up to 3/4th

areareduction

bestefficiency

ScalabilityScalability

Stratix-II

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almost perfectscalability

ConclusionConclusion

We improved scalability by redesigning the organization of systolic array and the design of PEs in the array Very low cost design, less area and delay

We proposed zig-zag pattern for reusing the primitive SADs Less registers for maintaining computed SADs Very regular workflow

This approach can be exploited by existing architectures and also can be applied to future standards with different block sizes

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Thanks!

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SAD SchedulingSAD Scheduling