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Performance Analysis of Processor

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Title: Performance Analysis of MicroBlaze Processor Author: d0515 Last modified by: Alex Iolin Created Date: 12/11/2005 6:36:01 PM Document presentation format – PowerPoint PPT presentation

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Title: Performance Analysis of Processor


1
Performance Analysis of
Processor
  • Midterm Presentation


Performed by Winter 2005 Alexei Iolin

Alexander Faingersh 307724211
Instructor
306966912 Evgeny
Fiksman
2
Agenda
  • Project Goals
  • MicroBlaze architecture
  • OPB timer/counter
  • OPB interrupt controller
  • Connecting Customized IP to FSL bus
  • Our Customized IP
  • Performance result

3
Project Goals
MicroBlaze is a Soft core Processor developed by
Xilinx that meets performance, area-efficiency
and low cost targets. Although using the
MicroBlaze enables fast system development on a
single FPGA, some of the special applications
run slower than in Hardware IP. We will examine
this with EDK environment
  • Examination of MicroBlaze calculation abilities
    by measuring time of running application and
    power consumption.
  • Implementing arbitrary application in Hardware
    (IDCT) and using it as a hardware acceleration
    for MicroBlaze.
  • Implementing the same functionality in C and
    comparing the results with hardware.
  • Adding self written C code for testing FPU.
  • Using as application code one of well known
    benchmarks.
  • Such as DHRYSTONE MIPS ,SPEC CPU 2000.
  • Or implementing arbitrary benchmark.

4
Hardware
5
EDK and MicroBlaze
  • The Embedded Development Kit (EDK) is a set of
    microprocessor design tool and common software
    platforms. The EDK includes the Platform Studio
    tool suite, the MicroBlaze core and a library of
    peripheral IP cores.
  • The MicroBlaze embedded soft core is a 32-bit
  • Reduced Instruction Set Computer (RISC)
    optimized for implementation in FPGA. Operating
    at up to 200
  • MHz.
  • MicroBlaze enables to you have complete
    flexibility in setting peripherals, memory and
    interface features on a single FPGA

6
MicroBlaze Architecture
MicroBlaze Hardware Options and Functions
Hardware Barrel Shifter Hardware Divider
Machine Status Set and Clear Instructions
Hardware Exception Support Pattern Compare
Instructions Floating-Point Unit (FPU)
Hardware Multiplier Enable Bus
Infrastructure Data-side On-chip Peripheral
Bus (DOPB) Instruction-side On-chip Peripheral
Bus (IOPB) Data-side Local Memory Bus (DLMB)
Instruction-side Local Memory Bus (ILMB) Fast
Simplex Link (FSL)
7
OPB Timer/Counter
The TC (Timer/Counter) is a 32-bit timer module
that attaches to the OPB.
  • Two programmable interval timers with
    interrupt, event generation, and eventcapture
    capabilities.
  • Each timer has 3 32bit registers
  • 1. TCSR - Control Register
  • 2. TLR - Load Register
  • 3. TCR - Counter Register
  • Both timer/counter modules can be used in a
    Generate Mode, a Capture Mode, or a Pulse Width
    Modulation (PWM) Mode.

8
OPB Interrupt Controller
9
Continuing INTC
  • INTC Features
  • Priority between interrupt requests is
    determined by vector position.
  • Supports data bus widths of 8-bits, 16-bits, or
    32-bits for OPB interface.
  • Number of interrupt inputs configurable up to the
    width of data bus.
  • Interrupt Enable Register (IER) for selectively
    disabling individual interrupt inputs.
  • Master Enable Register for disabling interrupt
    request output and choosing software or hardware
    interrupts.
  • Each input is configurable for edge or level
    sensitivity.

10
Connecting Customized IP to FSL BUS
  • MicroBlaze has the ability to use its dedicated
    FSL bus interface to integrate a customized IP
    core into a MicroBlaze soft processor-based
    system.
  • Generally, there are two ways to integrate a
    customized IP core into a MicroBlaze
  • One way is to connect the IP on the (OPB) .
  • 2. The second way is to connect the user IP
    to the
  • MicroBlaze dedicated Fast Simplex Link (FSL)
    bus system.
  • If the application is time-critical, the designer
    should take bus standard delays into account,
    thus the user IP should be connected to the FSL
    bus system.
  • Otherwise, it can be connected as a slave
    or master on the OPB.

11
Continuing Customized IP
  • In general, every application can be realized and
    implemented either as software algorithm or as
    structural hardware. It is important to use the
    hardware implementation advantage (parallel
    execution).

Example demonstrates how the parallel execution
advantage can be used. The software routine
needs 12 clock cycles to calculate the result G.
However, in hardware it takes only 2 clock cycles
to compute the same result.
12
  • RISC architectures have a two-input and a
    one-output (ALU). IP with more than two input
    values and more than one output value are
    problematical.
  • If the critical path of the whole system is
    through
  • the user IP, the whole soft processor will
    decrease in performance (processor frequency).
  • The software integration of customized
    instruction cant be handled directly from the
    compiler, thus the user has to use inline
    assembly to work with them.
  • The customized instructions have to be
    implemented in software as inline assembler code.
    This could produce a C application code, which is
    neither very clean nor portable.
  • It is possible to use more than 2 dynamic inputs
    and more than 1 output because up to 16 FSL
    interface busses are provided.
  • User IP is independent, doesnt affect the
    internal MB RISC architecture thus wont decrease
    the clock frequency of MB.
  • Outside implementation of IP allows to run
    customs calculations parallel to main stream
    application.
  • The new hardware doesn't require inline
    assembler code because the FSL interface has
    predefined C-macros for I/O to IP
  • Two MB processors connected back to back have a
    very fast and clean way to communicate with each
    other.

13
Our Customized IP
  • We implemented 1-dimension IDCT on FSL .
  • A 1-dimension IDCT realized in software requires
    a high execution time because the C- program
    executes many loops sequentially .
  • Implementation of application as hardware module
    greatly reduces the execution time due to
    parallel processing.
  • The software application writes 8 values from
    memory to the FSL. The IDCT core gets the data,
    calculates the result and returns the result data
    (8 words) back to MB trough the FSL.
  • By cascading the 1-dimensional IDCT core, it is
    possible to integrate a 2-dimensional IDCT core
    (Useful for Image processing).

14
Continuing Our Customized IP
The whole embedded system consists of the
MicroBlaze itself, two FSL bus systems, the user
core, an OPB on-chip bus, two OPB peripherals
(UART lite and the MicroBlaze Debug module) and
the on-chip block RAM. The application program
is stored in the on-chip block RAM.
15
Continuing Our Customized IP
FSL_M_Data - The data bus written to the FSL
FIFO FSL_M_Write - Input signal that controls
the write enable signal of the FIFO. FSL_M_Full
- Output signal from the FIFO indicating that the
FIFO is full. FSL_S_Data - Output bus that
indicates the data available at the read end of
the FIFO. FSL_S_Read - Input signal that
controls the read acknowledge signal of the FIFO.
FSL_S_Exists - Output signal indicating that
FIFO contains valid data.
16
Performance Results
Test Specifications SW Application Time
Testing basic start-up functionality including printing out. Default EDK SW TestApp.c 1.0968 sec
Testing the time that takes one entering, printing out and exiting empty interrupt handler. Default EDK SW TestApp.c 8.3326 msec
Testing the time that takes to enter the interrupt handler after the interrupt occurred TestApp Custom IDCT application 14.76 usec
Testing the time for custom IDCT (VHDL)hardware accelerator application TestApp Custom IDCT application 3.26541 sec
17
Time Table
EDK trainings
Studying the communication with OPB Timer and Controller
Measuring execution time for basic application files and interrupts.
Implementation of IDCT in HW for hardware acceleration
Midterm Presentation
Implementation of IDCT in C (fixed FPU version) and power consumption measurements
Dhrystone benchmark or arbitrary benchmark
Final presentation, poster and Project book
DONE
DONE
DONE
DONE
DONE
2 WEEK
1 WEEK
3 WEEK
18
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