Kazem Cheshmi

May 2010

Class presentation for the course: “Custom Implementation of DSP Systems” All the materials are copy rights of their respective authors as listed in references.

OutlineReconfigurable Computing[2,3]

IntroductionCouplingRun-time configurations

Reconfigurable Computing for DSP[4]Motivations[2]

An example of DSP application[1]CPAC architectureSystem level integrationResults

Implementation methods

Hard wired technology

Software programmed processor

Third method : Reconfigurable Computing[4]

Coupling

[3]

Run-Time ReconfigurationReconfigurable models

[3]

Reconfigurable Computing for DSPSpecializationFlexibility

Field customizationSlow adaptationFast adaptation

Parallelism[4]

Motivations There are two design methods:

General purposeEspecial purpose

Motivations to especial purpose:Digital signal processingWord-length optimization

Area reduction of up to 80%, power reduction up to 98%, and speedup up to 36%

MotivationOther

MultimediaCHAMPION IGOL(hardware plug-in)SA-C(image processing)

NetworkingConvert Ponder(network policy description) to

hardwareConvert Click to efficient hardware

CGRA Coprocessor Targeting DSP KernelsCo-porocessor

dedicated hardwareSIMDreconfigurable architectures (RAs).

CPACfunctional unit extensionSIMD acceleratorDSP kernel accelerator

G.723.1 codec (part of the H.324 standard)

CPAC ArchitectureSingle context

Architecture PartsHost Interface

3 FIFO portsMemory

Tightly loosely

PE

[1]

Processing Elements in CPAC

[1]

Computational ModelModel 1

r e s u l t = (a − b) ∗ c ;Model 2

for ( j = 0; j < 100; j ++ )r e s u l t = (a [ j ] − b [ j ] ) ∗ c ;

Model 3for ( i = 0; i < 100; i ++ ) {

d i f f = 0;for ( j = i ; j < 100; j ++ )

d i f f = (a [ j ] − b [ j − i ]) ∗ c ;result [ i ] = di f f ;

}

ConfigurationConfiguration time

Programming scenario:1. Configure vector definition registers.2. Download data vectors.3. Configure processing elements.4. Start computation.5. Synchronize by performing a blocking read

operation to the result FIFO.

System Level IntegrationGPP is used to configure, communicate

data and scheduling tasks on co-processor

Processor InterfaceMapping Functionality

[1]

ResultsCP-2 in inst per frame(CPI>=1)DSPs are hand-optimized

[1]

Refrences[1] H.Svensson, “Reconfigurable Architectures for Embedded Systems,”

PHD thesis, The Department of Electrical and Information Technology Lund University, September 2008

[2] T.J. Todman, G.A. Constantinides, S.J.E. Wilton, O. Mencer, W. Luk and P.Y.K. Cheung,:”Reconfigurable computing: architectures and design methods”, IEE Proc.-Comput. Digit. Tech., Vol. 152, No. 2, March 2005

[3] K.Compton, S.Hauck, : ‘Reconfigurable computing: a survey of systems and software’, ACM Comput. Surv., 2002, 34, (2), pp. 171–210

[4] R.Tessier ,W.Burleson, “Reconfigurable Computing for Digital Signal Processing : A Survey” , Journal of VLSI Signal Processing 28, 7–27, 2001.

[5] S.Hauck, A.DeHon, “RECONFIGURABLE COMPUTING THE THEORY AND PRACTICE OF FPGA-BASED COMPUTATION”, 2008 by Elsevier Inc.