Kỹ thuật viễn thông - Chapter 18: Programmable dsps

Functional units can be split into submodules, e.g. for images (8bits) TI320C80, 1 RISC 4 x 32bit DSP which can be split into 8bit modules

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Chapter 18: Programmable DSPs Keshab K. Parhi and Viktor Owall Chap. 18 2 DSP Applications DSP applications are often real time but with a wide variety of sample rates • High rates – Radar – Video • Medium rates – Audio – Speech • Low rates – Weather – Finance Chap. 18 3 ...with different demands on • numeric representation – float or fixed – and nmber of bits • Throughput/speed • Power/energy dissipation • Cost Chap. 18 4 DSP features D D Dx(n) h0 h3h2h1 y(n) Fast Multiply/Accumulate (MAC) • FIR • FFT • etc. • Multiple Access Memories • Specialized addressing modes • Specialized execution control (loops) • Specialized interfaces, e.g. AD/DA Chap. 18 5 Addressing Modes • Implied addressing P=X*Y; operation sets location • Immediate data AX0=1234 • Memory direct R1=Mem[101] • Register direct sub R1, R2 • Register indirect A0=A0+ *R5 • Register indirect with increment/decrement A0=A0+ *R5++ A0=A0+ *R5-- Chap. 18 6 Standard DSP Alternatives PCs or Workstations • Non-real time • low requirements General purpose microprocessors • slower for DSP applications • might be one mproc. there anyway Custom • perfomance • low cost at volume • High development cost Chap. 18 7 Standard Processors vs. Special Purpose Algorithm Special Purpose Standard Processor Processor Cores Domain Specific Processors etc. • Programmable • Low Design cost • Standard Interface • Good supply of tools • High Calculation Capacity • Low Power • User defined Interface • Variable Wordlength • Low Price at Volume Chap. 18 8 Main MEM Conflicting req. • Throughput • Flexibility • Power Consumption • Time to market Processor Core ASIC ASIC Main MEM Dist. MEM Local busses and Distributed memory to decrease data transfers MIPS intensive algorithms in dedicated HW to increase throughput and save power Flexibility by using programmable processor core Architectural Partitioning Processor Core Chap. 18 9 Fixed point DSP Motorola DSP56000x X0 X1 Y0 Y1 Shifter ALU A (56) B (56) Shifter/ Limiter 2424 2424 24 24 24 24 56 56 5656 56 Operand Registers Accumulators • Usually DSP has single cycle multiplier, may be pipelined • Double wordlength out + guard bits • scaling • Altenative is mult with reduced wordlength output, e.g. 24 Chap. 18 10 Memory Structures, von Neuman Addresss bus Data bus Processor Core Memory Chap. 18 11 Memory Structures, Harvard Addresss bus 2 Data bus 2 Processor Core Memory A Addresss bus 2 Data bus 2 Memory B Original Harvard • one data • one program Chap. 18 12 TI Processors, high speed Chap. 18 13 TI Processors, low power Chap. 18 14 TI, C64 Chap. 18 15 TI, C55 Chap. 18 16 Processor Architectures SIMD – Single Instruction Multiple Data Program Processor Processor Processor Processor Chap. 18 17 Processor Architectures MIMD – Multiple Instruction Multiple Data Processor Processor Processor Processor Program Program Program Program Chap. 18 18 Processor Architectures VLIW – Very Long Instruction Words Functional Unit VLIW Instruction Control Unit Functional Unit Functional Unit Functional Unit Chap. 18 19 Split Processors Functional units can be split into submodules, e.g. for images (8bits) TI320C80, 1 RISC 4 x 32bit DSP which can be split into 8bit modules Chap. 18 20 Vector Processors Chap. 18 21 Low Power MMAC Multiplier Multiple Accumulator V. Sundararajan and K.K. Parhi, "A Novel Multiply Multiple Accumulator Component for Low Power PDSP Design", Proc. of 2000 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Vol. 6, pp. 3247-3250, Istanbul, June 2000 Chap. 18 22 Low Power MMAC Schedule 16-tap FIR 4 acc. MMAC

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