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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