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Introduction to Digital Signal Processors

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Introduction to Digital Signal Processors INTRODUCTION TO Accumulator architecture DIGITAL SIGNAL PROCESSORS Memory-register architecture Prof. Brian L. Evans in collaboration with Niranjan Damera-Venkata and Magesh Valliappan Load-store architecture Embedded Signal Processing Laboratory The University of Texas at Austin Austin, TX 78712-1084 http://anchovy.ece.utexas.edu/ Outline n Signal processing applications n Conventional DSP architecture n Pipelining in DSP processors n RISC vs. DSP processor architectures n TI TMS320C6x VLIW DSP architecture n Signal and image processing applications n Signal processing on general-purpose processors n Conclusion 2 Signal Processing Applications n Low-cost embedded systems 4 Modems, cellular telephones, disk drives, printers n High-throughput applications 4 Halftoning, radar, high-resolution sonar, tomography n PC based multimedia 4 Compression/decompression of audio, graphics, video n Embedded processor requirements 4 Inexpensive with small area and volume 4 Deterministic interrupt service routine latency 4 Low power: ~50 mW (TMS320C5402/20: 0.32 mA/MIP) 3 Conventional DSP Architecture n High data throughput 4 Harvard architecture n Separate data memory/bus and program memory/bus n Three reads and one or two writes per instruction cycle 4 Short deterministic interrupt service routine latency 4 Multiply-accumulate (MAC) in a single instruction cycle 4 Special addressing modes supported in hardware n Modulo addressing for circular buffers (e.g. FIR filters) n Bit-reversed addressing (e.g. fast Fourier transforms) 4Instructions to keep the 3-4 stages of the pipeline full n Zero-overhead looping (one pipeline flush to set up) n Delayed branches 4 Conventional DSP Architecture (con’t) Data-shifting n Modulo Time Buffer contents Next sample x x x x x addressing n=N N-K+1 N-K+1 N-1 N N+1 4 implementing x x n=N+1 N-K+2 xN-K+3 N xN+1 x circular buffers N+2 x x and delay lines N-K+3 xN-K+4 N+1 xN+2 n=N+2 xN+3 Modulo addressing Time Buffer contents Next sample n Bit reversed n=N x x x x x x addressing N-2 N-1 N N-K+1 N-K+2 N+1 4 used to x x x x xN+2 n=N+1 N-2 xN-1 N N+1 xN-K+2 N-K+3 implement the radix-2 x x xx x x x x n=N+2 N-2 N-1 NN N+1 N+2 N-K+3 xN-K+4N-K+4 x FFT N+3 5 Conventional DSP Architecture (con’t) Fixed-Point Floating-Point Cost/Unit $5 $10 Architecture accumulator load-store or memory-register Registers 2–4 data 8 or 16 data 8 address 8 or 16 address Data Words 16 or 24 bit integer and 32 bit integer and fixed-point fixed/floating-point On-Chip 2–64 kwords data * 8–64 kwords data Memory 2–64 kwords program 8–64 kwords program Address 16 kw–8 Mw data 16 Mw–4Gw data Space 16–64 kw program ** 16 Mw–4 Gw program Compilers C compilers; C, C++ compilers; poor code generation better code generation Examples TI TMS320C5x; TI TMS320C3x; Motorola 56000 Analog Devices SHARC 6 Conventional DSP Architecture (con’t) n Market share: 95% fixed-point, 5% floating-point n Each processor has dozens of configurations 4 Size and map of data and program memory 4A/D, input/output buffers, interfaces, timers, and D/A n Drawbacks to conventional DSP processors 4 No byte addressing (desirable for image and video) 4 Limited on-chip memory 4Limited addressable memory on fixed-point DSPs: except Motorola 56300 (16 Mw data; 32 Mw program) and C548/C549/C54xx (8 Mw data; 256 kw program) 4 Non-standard C extensions to support fixed-point data 7 Pipelining Sequential (Motorola 56000) Fetch Decode Read Execute Pipelined (Most conventional DSP processors) Fetch Decode Read Execute Superscalar (Pentium, MIPS) Managing Pipelines •compiler or programmer •interlocking Fetch Decode Read Execute Superpipelined (CDC7600) •hardware instruction scheduling Fetch Decode Read Execute 8 Pipelining: Operation Fetch Decode Read n Time-stationary pipeline model Execute 4 Programmer controls each cycle F D R E 4 Motorola DSP56001 D C B A MAC X0,Y0,A X:(R0)+,X0 Y:(R4)-,Y0 E D C B F E D C n Data-stationary pipeline model G F E D H G F E 4 Programmer specifies data I H G F operations J I H G 4TMS320C30/40 K J I H L K J I MPYF *++AR0(1),*++AR1(IR0),R0 L - K J L - K n Interlocked pipeline L - 4 Programmer is “protected” from L pipeline effects 9 Pipelining: Hazards Fetch Decode Read n A control hazard occurs when a Execute branch instruction is decoded F D R E 4 “Flush” the pipeline D C B A 4 or: Delayed branch (expose pipeline) E D C B n A data hazard occurs because F E D C br F E D an operand cannot be read yet G br F E 4 Intended by programmer - - br F 4 or: Interlock hardware inserts - - - br “bubble” X - - - TMS320C5x example Y X - - Y - X - LAC #064h LAR AR2, DATA Z Y - X SAMM AR2 LACC *- NOP Z Y - LACC *- Z Y Z 10 Pipelining: Avoiding Control Hazards Fetch Decode Read A key factor in the numeric performance Execute of DSPs is the provision of special F D R E hardware to perform looping. D C B A RPT COUNT E D C B TBLR *+ F E D C rpt F E D n A repeat instruction repeats X rpt F E one instruction or a block of X - rpt F X - - rpt instructions after repeat X X - - n The pipeline is filled with X X X - X X X X repeated instruction (or X X X X block of instructions) X X X X n Cost: one pipeline flush only 11 RISC vs. DSP: Instruction Encoding n RISC: Superscalar Reorder Load/store FP Unit Integer Unit n DSP: Horizontal microcode Load/store Load/store Address ALU Multiplier 12 RISC vs. DSP: Memory Hierarchy n RISC Registers I/D Physical Cache memory Out of TLB order TLB: Translation Lookaside Buffer I Cache Internal n DSP memories Registers External memories DMA Controller DMA: Direct Memory Access 13 TI TMS320C6x VLIW DSP Architecture Simplified Architecture Program RAM Data RAM or Cache Addr Internal Buses DMA Data Regs (A0-A15) .D1 .D2 Regs (B0-B15) Serial Port External .M1 .M2 Host Port Memory .L1 .L2 -Sync Boot Load -Async .S1 .S2 Timers Control Regs Pwr Down CPU 14 TI TMS320C6x VLIW DSP Architecture n One instruction cycle per clock cycle n Two parallel data paths with single-cycle units: 4 Data unit - 32-bit address calculations (modulo, linear) 4 Multiplier unit - 16 bit x 16 bit with 32-bit result 4 Logical unit - 40-bit (saturation) arithmetic & compares 4 Shifter unit - 32-bit integer ALU and 40-bit shifter n 16 32-bit general purpose registers in each path 4 40 bits can be stored in adjacent even/odd registers n 32-bit addressing of 8/16/32 bit data n Fixed-point (C62x) and floating-point (C67x) n C67x computes floating-point multiply in 4 cycles 15 TI TMS320C6x VLIW DSP Architecture n TMS320C6211: $21 in volume 4 150 MHz, 300 million MACs/sec, 1200 RISC MIPS 4 on-chip: 4k x 8 bits program and 4k x 8 bits data (plus 64k x 8 bits L2 cache) n Deep pipeline 4 7-11 stages in C62x: fetch 4, decode 2, execute 1-5 4 7-16 stages in C67x: fetch 4, decode 2, execute 1-10 4 If a branch is in the pipeline, interrupts are disabled (the latency of a branch instruction is 5 cycles) 4 Avoid branches by using conditional execution n No hardware protection against pipeline hazards 4 Compiler and assembler must prevent pipeline hazards 16 C5x and C6x Addressing Modes n Immediate TMS320C5x TMS320C6x 4 The operand is part of the instruction ADD #0FFh add .L1 -13,A1,A6 n Register 4 The operand is (implied) add .L1 A7,A6,A7 specified in a register n Direct 4 The address of the operand is part of the ADD 010h not supported instruction (added to imply memory page) n Indirect ADD * ldw .L1 *A5++[8],A1 4 The address of the operand is stored in a register 17 TMS320C6x vs. Pentium MMX Processor Peak BDTI ISR Power Unit Area Volume MIPS marks latency Price Pentium 466 49 1.14 µs 4.25 W $213 5.5” x 2.5” 8.789 in3 MMX 233 Pentium 532 56 1.00 µs 4.85 W $348 5.5” x 2.5” 8.789 in3 MMX 266 C62x 1200 74 0.12 µs 1.45 W $25 1.3” x 1.3” 0.118 in3 150 MHz C62x 1600 99 0.09 µs 1.94 W $96 1.3” x 1.3” 0.118 in3 200 MHz BDTImarks: Berkeley Design Technology Inc. DSP benchmark results (larger means better) http://www.bdti.com/bdtimark/results.htm http://www.ece.utexas.edu/~bevans/courses/ee382c/lectures/processors.html 18 Application: FIR Filter z-1 z-1 z-1 n Each tap requires 4 Fetching one data sample 4Fetching one operand 4Multiplying two numbers 4Accumulating multiplication result 4Shifting one sample in the delay line n Computing an FIR tap in one instruction cycle 4Three data memory accesses 4Auto-increment or decrement addressing modes 4Modulo addressing to implement delay line as circular buffer 4 Eleven RISC instructions 19 Application: FIR Filter on a TMS320C5x Coefficients Data COEFFP .set 02000h ; Program mem address X .set 037Fh ; Newest data sample LASTAP .set 037FH ; Oldest data sample … LAR AR3, #LASTAP ; Point to oldest sample RPT #127 MACD COEFFP, *- ; Do the thing APAC SACH Y,1 ; Store result -- note shift 20 Application: FIR Filter on a TMS320C62x Coefficients Data Single-Cycle Loop ..
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