technion – israel institute of technology department of electrical engineering
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Technion – Israel Institute of Technology Department of Electrical Engineering High Speed Digital Systems Lab. Spring 2009. Multi-Core Im plementation Of Nios ® II Processors. Characterization Presentation. Supervisor: Ina Rivkin. Performed by: Ilan Rosen Oded Duek. Overview. - PowerPoint PPT PresentationTRANSCRIPT
Technion – Israel Institute of TechnologyDepartment of Electrical EngineeringHigh Speed Digital Systems Lab
Spring 2009
Multi-Core ImplementationOf Nios ® II Processors
Performed by: Ilan Rosen Oded Duek
Supervisor: Ina Rivkin
Characterization Presentation
OverviewAny system which incorporates two or
more microprocessors who work together is called a multiprocessor system
A multi-core processor combines two or more independent cores in a single integrated circuit
Nios II is an embedded processor implemented on Altera FPGA boards
Several Nios II cores can be joined together on the FPGA board, thus creating a multi-core environment
Project Goals
Implementing different types of multi-core systems, each dealing with different aspects of multiprocessors
Executing C/C++ programs on the different systems and comparing the benefits and disadvantages of each one
Checking different aspects of multi-task programs and their compatibility on the multi-core system
Creating the basis for future lab experiments of multi-core SOPC
PlatformAltera DE2, the board
used in the project, a development board built on a Cyclone II EP2C35 FPGA
Includes memory peripherals as an 8-Mbytes SDRAM, 4Mbyte flash and 512Kbyte SRAM
Includes an LCD, eight 7-segment displays, different LEDs, switches and buttons
In addition includes several I/O device connections
Design ToolsQuartus II 8.0 software used for
analysis and synthesis of the whole board design and I/O integration
SOPC Builder used for creating the complete system infrastructure containing the Nios II processors, data memory and other IP components
Nios II IDE used for executingand debugging C/C++programs on the Nios IIembedded processor
Multiprocessor SystemsA multiprocessor system benefits from
increased performance, but at the expense of significant system complexity
Until recent years such systems were only used on servers and high-end computers, using a complex load-sharing method (SMP)
Altera FPGAs are a good platform for developing asymmetrical embedded multi-core systems
Using the SOPC builder tool different kinds of multi-core systems can be easily built, examined and afterwards tested with the IDE
Different ImplementationsMultiprocessor systems split into 2 main
categories, those who share resources and those who don’t
Autonomous processors do not share resources and do not communicate with each other and so are easy to implement
Memory sharing processors share some resources between them, but creating such a system poses many challenges and isn’t straightforward
A mixed system can also be built, a one in which some processors are autonomous and some share resources
Autonomous processorsAutonomous multiprocessors systems
contain multiple processors, but behave as though they are in separate systems
The processors do not interfere with each other and do not share addresses
The good: When several tasks need to execute in real-time, giving each task its own core and resources lets it run undisturbed
The bad: Resource utilization may not be optimized and cannot be shared with other tasks
Memory Sharing Processors
System resources are considered shared when they are available to be accessed by more than one processor
The good: Shared resources is a very powerful aspect in a multiprocessor system since it maximizes resource utilization
The bad: Although physically connecting several processors to a resource is easy, managing the resource correct operation and processors’ cooperation is hard
Responsibility for this positive cooperation lays on the system programmer
Memory Sharing Processors continued
The most common type of shared resource in multiprocessor systems is the memory
If the memory is shared for instruction purposes each processor must have its separate area for code execution
When using the memory for data purposes, the problem is more complex since each processor can read and write to the same address simultaneously, thus creating data corruption or a system crash
The memory can be shared symmetrically, or asymmetrically when some processors share one memory but others have their own private one
The Mutex CoreNios II processor provides protection of
shared resources using a hardware mutexThe mutex core is itself a shared resource,
providing atomic test-and-set operationUsing the mutex each processor can lock a
specific resource and release it when done using, giving an other processor access
The software using the processors is responsible for using the mutex, since the mutex itself does not physically protect resources
MailboxThe Mailbox is another core peripheral
assisting in shared memory managementThe mailbox contains two mutexes, one for
unique write and one for unique readAccess to the mailbox is FIFO, meaning only
one processor can read or write to the mailbox
Processors can post and read messages in the mailbox, when the read operation can be blocking
Processors must agree on a protocol for interpreting the messages
Timeline Going over Altera’s SOPC tutorial course - done Building a single Nios II processor infrastructure
and running a sample C program on it – done Implementing and testing an autonomous multiprocessor system
– Until the midterm presentation, ~3 weeks Midterm presentation – End of May Implementing a shared memory multiprocessor system using
different architectures and designs – After the midterm, ~4 weeks Executing multi-thread software on the system and comparing the
benefits and disadvantages of it– ~2 weeks Documentation, project report and final presentation – ~Mid July