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BENCHMARK SUITE

BENCHMARK SUITE. RADAR SIGNAL & DATA PROCESSING. CERES EPC WORKSHOP 2008-10-01. THE BENCHMARK SUITE. The purpose is to evaluate processing architectures with regard to radar signal & data processing requirements The suite comprises Signal processing kernels “front-end” processing

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BENCHMARK SUITE

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  1. BENCHMARK SUITE RADAR SIGNAL & DATA PROCESSING CERES EPC WORKSHOP 2008-10-01

  2. THE BENCHMARK SUITE The purpose is to evaluate processing architectures with regard to radar signal & data processing requirements The suite comprises • Signal processing kernels • “front-end” processing • data-independent, stream-oriented • Information and knowledge processing kernels • “back-end” processing • data-dependent, thread oriented • Application examples • some of the kernels are used • illustrates complications in data access/movement It is to a large extent based on the HPEC Challenge benchmark suite

  3. THE HPEC CHALLENGE BENCHMARK SUITE Created under the DARPA PCA program, introduced 2005 Nine kernel benchmarks: • Signal processing • Time-domain and frequency-domain FIR filters • QR factorization • Singular value decomposition • Constant false-alarm rate detection • Information and knowledge processing • Pattern matching • Graph optimization via genetic algorithm • Real-time database operation • Communication kernel • Corner turn (memory rearrangement) of a data matrix Metrics • Latency, throughput, efficiency

  4. MORE KERNELS Complement to the HPEC Challenge suite • Fast Fourier Transform • The free FFTW package from MIT • C subroutine library for computing the DFT in one or more dimensions • Benchmark source code and methodology are available • Interpolation kernels • Cubic interpolation • Bi-cubic interpolation • Source code is available

  5. APPLICATIONS different processing directions in chain data access/movement complications when combining kernels channel signal processing kernels range processing chain 1 processing chain 2 pulse

  6. APPLICATIONS • A simplified Doppler signal processing chain • problem: processing along different directions in data set • benchmark: Doppler filtering, pulse compression, CFAR detection • Space-Time Adaptive Processing (STAP) • problem: weight calculations based on a sliding volume in a 3D data set • benchmark: QR decompositions of matrices formed from data in a sliding volume • Synthetic Aperture Radar (SAR) processing • problem: 2D interpolations along tilted paths in memory • benchmark: elementwise addition of data from two matrices accessed along tilted lines

  7. THE PROVIDED SOURCE CODE Single processor code For comparisons/reference Excecutable ”spec” Basis for parallel code, if applicable

  8. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level

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