OPTIMIZING A MULTI-PROCESSOR SYSTEM

Performing: Isaac YaromSupervised by: Mony Orbach15/5/2008

Annual Project – Semester A (2007-1)Mid-term presentation

Introduction A few teams from HS DSL are developing a

multi-processors system that implements a recognition algorithm from REFAEL.

The system is design as SOPC using on multiple FPGA systems

Area on FPGA is an important constraint, there is a need to decide on system “configuration” that will supply the best performance on a given FPGA system.

Tools Hardware:

PC system GiDEL StartixII®

Development system: Altera SoPC® + QuartusII GiDEL ProcStar®

NiosII® based VPU LBS developed Host/Generator software

System overview

System overview (continued)Current state of system: Nios VPU is implemented with C2H.

Some issues regarding size and speed Switch system is implemented.

No support for asymmetric VPUs yet. MultiFIFO communication between PC and

FPGA has problems. Implementation Generator team has

contacted GiDEL in regards to this problem.

Project goals – Part A Performance evaluation methods and tools

Define methods and tools to use Implement needed tools

Define optimization constraints and trade offs Software model

Design and Implement Performance simulator Run on several configuration and produce recommendations for configuration to test on actual system.

Build Dummy-system (+ performance study) Learn Tools: PROCWizard, SOPC Learn System: Switch, Software application & VPU Build dummy system and produce performance evaluation

Performance evaluation methods Performance is evaluated in several

levels: VPU functions VPU latency System throughput

A “Software system” throughput will be measured as well to perceive FPGA system merit.

FPGA tools Ramp-up Basic tutorials for

PROCStar® Basic NiosII® CPU on

StarTIX card. Integrating PROCStar,

Quratus and SOPC Builder Basic design Basic VPU

Timeline – Part A

ID Task NameQ2 08

4/5 11/5

1 Define performance methods and tools

2 Implement performance tools

3 Learn FPGA tools

5 Learn system

6 Build dummy system and run performance evaluation

7 Design and implement performance simulator

8 Run and analyze configuration on simulator

4 Define optimization constraints and tradeoffs

18/5 25/5 1/6 8/6 15/6 22/6

Presentation Notes Profiling algorithm is first prority from

performance tasks Understand algorithm Control C2H If needed push other task to second

semester