1 Optimizing multi-processor system composition Characterization Presentation November 20 th – 2007 Performing: Isaac Yarom Supervising: Mony Orbach Annual project – Semester A (2007-1)

2 General  A few teams from HS DSL are developing a multi-processors system that implements a recognition algorithm (D0417, D0317, D0136).  The system is design as SOPC using: Gidel ProcstarII ® Altera FPGA, implementing NiosII ® soft core based accelerators.  System will be ready at the start of

3 General - The System

4 General o SOPC design provides us flexibility in later stages of the design process. o More hardware equals greater throughput. o Main constraint is fixed limited area for hardware upon the FPGA.

5 Working environment  Sampling vectors (2048B needs to be checked too) - derived from specification document. Arrive at fixed rate.  NiosII ® configurations might differ in cache size and C2H Effecting throughput Effecting Area  Area is limited and fixed for system

6 Project Goals  Developing and implementing performance study methods. Constraint is FPGA area. This will limit number of configuration to study. Determining composition of NiosII ® cores for optimal system:  Symmetric/Asymmetric system  NiosII Configuration  Memory defined for each NiosII  Optimizing the given system using the developed methods.

7 Requirments  The NiosII ® processors need to be categorized by cache size and area needed.  Designed and validated NiosII ® processor (and algorithm) for basic configuration (1024B cache). Other configurations need to be setup in this project.  SWITCH must support at least one basic algorithm for using asymmetric cores.

8 Project expected outcomes Performance evaluation methods and tools  Might be integrated with Host software. Software model (non functional simulator) + results  Recommendations for system configurations to check out in hardware Dummy-system (+ performance study) Interface between SWITCH and NiosII ® will include fields to allow system asymmetric configuration.  Nice to have: Theoretical analytical recommendations for hardware systems to check

9 Project expected outcomes  “ Starting point ” : Basic system  Configurable NiosII ® cores  Configurable SWITCH Performance evaluation methods and tools Software model + recommendations  Outcomes: Performance study for 2-3 configurations Optimized system

10 Workflow (2007-1)

11 Workflow (2007-2)

12 Schedule until midterm