Traditional vs. SoC FPGA Design Flow A Video Pipeline Case Study
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Transcript of Traditional vs. SoC FPGA Design Flow A Video Pipeline Case Study
WEBINARTraditional vs. SoC FPGA
Design Flowwith
A Video Pipeline Case Study
May 8, 2014
2
SPEAKERS
Allan DubeauPrincipal Design
Engineer, Nuvation Engineering
Todd KoellingSr. Marketing Manager,
SoC Products, Altera
Stefan RosingerProduct Manager,
CPU, ARM
Joseph XavierMarketing Manager, Nuvation Engineering
Moderator:
3
1. Introductions
2. Compare the impacts of a traditional FPGA engineering design flow to one employing an SoC FPGA, from the perspective of:
ARM and ALTERA design/development
System architecture design
Risk mitigation
System integration & Bring-up
Achieving customer satisfaction through Requirements understanding
3. Case Study: Video pipeline evaluation platform
SOC FPGA VS. TRADITIONAL FPGA DESIGN FLOW
AGENDA
4
Established in 1997
Offices in Silicon Valley and Waterloo, Canada
800+ successful projects completed
Clients ranging from start-ups to Fortune-50 companies
Exceptional Engineers and Program Managers
Flexible business models to match customer and market requirements
WHO WE ARECOMPANY PROFILE
NUVATION SPECIALIZES IN PRODUCT REALIZATION AND CUTTING-EDGE DESIGNS.
SUNNYVALE, CA USAWATERLOO, ON CAN
A top-tier Altera Design Services Network partner since 1998, with projects delivered using virtually all device families
Experts with ARM-based microprocessors and SoCs
Altera Partner & EDS ProviderARM Connected Community Member
WHO WE ARENUVATION ENGINEERING
6
THE SoC FPGA
SoC FPGAs integrate ARM-based processor system with FPGA fabric.
Benefits are higher performance, lower power, lower cost, and smaller board space of a single chip solution.
After
FPGA+ CPUD
evic
esMemory
Before
FPGA
Dev
ices
Memory
CPU
Dev
ices
Memory
Altera Embedded Technology Centers of Excellence
7
Premal BuchVP EngineeringSan Jose
Ty GaribayVP EngineeringAustin Technology Center
Mark DickinsonVP EngineeringEurope Technology Center
FPGA IP and Development Tools
• FPGA Tools• Qsys• System Console• AXI/Avalon IP interface
Embedded IC DesignAnd Software
• SoC FPGA IC Design• Embedded Software• Nios II Soft Processsor
Embedded System Solutions
•Industrial Applications•Automotive Applications
•Communications Solutions•Video Processing
Embedded Technology Centers of Excellence
San Jose HQ Austin Technology Center Europe Technology Center
World Class Embedded Team Bringing Customizable SoCs to Market
THE ARCHITECTURE FOR THE DIGITAL WORLD®
From sensors to servers, ARM designs processor technology that lies at the heart of advanced consumer products
Software development tools
Physical IP – Design of the building blocks of the chip
Processor and Graphics IP – Design of the brain of the chip
Power Mgmt
Bluetooth
Cellular Modem
WiFi
SIM
GPS Flash Controller
Touchscreen & Sensor Hub
Sensor Hub
Camera
Apps Processor
Advanced consumer products are incorporating more and more ARM technology – from processor and multimedia IP to software
ARM TECHNOLOGY
• ARM delivers technology to drive scalable, efficient system-on-chip solutions:– Software increasing system
efficiency with optimized software solutions
– Diverse components, including CPUs and GPUs designed for specific tasks
– Interconnect System IP delivering coherency and the quality of service required for lowest memory bandwidth
– Physical IP for a highly optimized processor implementation
THE CHIP IS THE SYSTEM
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ARM and Altera Design/Development:
Co-Design and Co-Development
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ARM AND ALTERA DESIGN/DEVELOPMENT:CO-DESIGN AND CO-DEVELOPMENT
ARM Development Studio 5 (DS-5) Altera Edition Toolkit
Altera USB-Blaster™II
Connection
13
Industry First: FPGA-Adaptive Debugging
Removes debugging barrier between CPUs and FPGA
• Synchronizes debug between the FPGA and ARM processor software
• Cross-triggering between the HPS and FPGA fabric allows inter-domain synchronization, for instance, to stop all hard and soft processors simultaneously.
Automatic creation of register views of FPGA peripherals
• Qsys-generated FPGA peripheral registers definition can be imported into DS-5 Debugger for system register visibility while debugging software
ARM AND ALTERA DESIGN/DEVELOPMENT:CO-DESIGN AND CO-DEVELOPMENT
ARM® Development Studio 5 (DS-5™) Altera® Edition Toolkit
ARM AND ALTERA DESIGN/DEVELOPMENT:CO-DESIGN AND CO-DEVELOPMENT
CUSTOMIZABLE DATA COLLECTION TO ENABLE SYSTEM WIDE OPTIMIZATION
OS counters: CPU load, threadwait, network, memory
CPU counters, aggregated, per coreor cluster: clock cycles, instructions,branch prediction, cache & TLB misses
System and custom counters: level2 cache, interconnect, custom metrics
Visual annotations: from bitmapsto frame buffers
Process/thread heat map: colorreflects CPU/GPU activity
Text annotations: signal high-levelevents in the application
System-Level Analysis with Streamline Performance Analyzer
Capable andCost Effective
Altera USB-Blaster™ II
Elaborate
ARM DSTREAM
15
System Architecting
16
SYSTEM ARCHITECTING
Profiling assessment in relation to a client’s requirements
• Initial requirements maybe biased based on pre-conceived feature limitations of bandwidth limitations of external interfaces.
• Can be enhanced by removing the bottleneck associated with external multi-chip solutions
• The tight integration between the HPS and FPGA fabric provides over 125-Gbps peak bandwidth with integrated data coherency between the processors and the FPGA.
• Computation profiling is an available feature of the development tools
—Streamline support: Statistical analysis of software load and bus traffic spanning the CPUs and FPGA
• Many elements of the hardware and software can be independently developed
17
SYSTEM ARCHITECTING
Software Design Flow
HardwareDevelopment
SoftwareDevelopment
Release Release• Quartus II Programmer• In-system Update
• Flash Programmer
Simulate Simulate• ModelSim,etc.• AMBA-AXI and Avalon bus functional models (BFMs)
• Virtual Target
Debug Debug• SignalTap™ II logic analyzer• System Console
• ARM Development Studio 5• GNU, Lauterbach•iSystem, SEGGER
• Quartus II design software• Qsys system integration tool• Standard RTL flow• Altera and partner IP
• ARM Development Studio 5• GNU tool chain• OS/BSP: Linux, VxWorks• Hardware Libraries• Design Examples
Design DesignHW/SW Handoff
FPGA Design Flow
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SYSTEM ARCHITECTING
HW/SW Design Partitioning
Partitioning can be postponed and refined at a later phase of the design process and is not part of the critical path.
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SYSTEM ARCHITECTING
HW/SW Design Partitioning (cont.)
The architecture and development flow will lead towards an earlier IDM deployment, effort re-use, as well as a more IDM friendly architecture and deployment strategy.
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SYSTEM ARCHITECTING
HW/SW design partitioning (cont)
• Data coherency maximizes partitioning options
—Increase power efficient computing
o Co-processing certain tasks in the FPGA fabric can not only benefit from a performance standpoint but also reduces the per power computational element
—Decreased and much finer grained latency potentials (do not have to deal with protocol overheads)
—Saves on board level debugging
—Not I/O restrictive and removes having to commit to a board level CPU to FPGA interface
—Expedites board design faster
Hard Processor System (HPS)…….
FPGA
Shared Multiport DDR SDRAM Controller (2)
HPS toFPGA
FPGAto HPS
FPGAConfig.
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Monolithic SOC advantages
• Does not compromise some of the characteristics of a multi-chip solution
—Independent powering
—Flexible configuration and boot sequencing
• Reduced power, voltage rail requirement, clocking, BOM, layout etc.
SYSTEM ARCHITECTING
≡
22
SYSTEM ARCHITECTING
Integrated Hard IP peripherals
• Increased performance
• Reduces implementation time and cost
• Reduces FPGA resource and IP cost requirements
—PCIe multi-function support can save around 20K logic elements alone
• Can share external DDR memory
• FPGA can also access some of the other HPS Hard IP peripherals
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Risk Mitigation
24
SOC lends itself towards a better step wise development and integration process
Integrated data coherency and non-committal multi-chip interface maximizes functional requirement changes and increased flexibility
• Not having to commit to the FPGA andCPU I/O at the board level.
Earlier customer wide deployment taking advantage of both In-the field updates and extended and flexible functional requirement changes and enhancements.
RISK MITIGATION
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Extends integration and definition of final functionality further along the design process cycle.
More easily adapts to handle unforeseen changes in external requirements or expected signaling behavior.
Reduces initial commitment directly associated to “What-if” scenarios
• Can allocate effort only when certain criteria become apparent or are part of critical path.
Based on well-established HW/SW manufacturers and distributor with mature and extensive eco-systems.
With a well established SoC-friendly architecture can increase the abstraction level for easier and faster incorporation of design enhancements as well as test and debug
RISK MITIGATION
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System Integration and Bring-Up
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Faster and less costly when factoring elements such as;
• Board and layout issues between multi-chip interface being eliminated
• Using extensive co-verification real-time debugging options
Easier systematic debugging process through incremental and step-wise development
• Taking advantage of the Cyclone V SoC ARM core’s computational power.
Can incorporate and leverage on familiar, extensive and powerful Linux based application level for debugging.
• The interfaces between many of the hard core periphery and software drivers are mature and can be used as-is without additional debugging
SYSTEM INTEGRATION AND BRING-UP
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3rd Party example of a HW/SW validation platform from Flexibilis that makes use of an external custom processor environment. Many benefits of this system level solution for validation can be realized and incorporated within the Cyclone V SoC itself. This includes system solutions that would not necessarily populate a processor
SYSTEM INTEGRATION AND BRING-UP3RD PARTY VENDOR EXAMPLE USING CUSTOM HW/SW VALIDATION
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Achieving Customer Satisfaction through Requirements
Understanding
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Progression milestones that fit with client’s demonstrations and establishes confidence in progress of deliverable(s)
• The SoC architecture lends itself to a more incremental functional bring-up process. Initial conceptual functionality and proof of concepts can be implemented using the powerful ARM core and be incorporated as milestones for demonstration purposes.
• The FPGA fabric can incorporate “What-if” scenarios for SW corner cases that maybe present in the field and tested in a controlled and observable manner.
—example shown on the next slide
ACHIEVING CUSTOMER SATISFACTION THROUGH REQUIREMENTS UNDERSTANDING
31
Design for testability (Actual Example)
• ARM can be used
—to prototype FPGA destined algorithms
o developed faster in SW than RTL
o can later serve to verify HW with “Golden Test Vectors”
• FPGA can create Fault-Insertion Modules to profile and verify SW flow control handling and corner cases
ACHIEVING CUSTOMER SATISFACTION THROUGH REQUIREMENTS UNDERSTANDING
32
Reliability
• Apply non-intrusive tasks between both CPU and FPGA
—Data and Flow control integrity health monitoringoMany FPGA designs omit this due to the impact on
additional resources and development time A small subset can be implemented on latency
sensitive signaling and exposed to SW routinesoSoftware based health monitoring is faster/easier and
less resource intensive to implement
ACHIEVING CUSTOMER SATISFACTION THROUGH REQUIREMENTS UNDERSTANDING
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Cyclone V SoC Case Study:A Video Pipeline Evaluation
Platform
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Video Pipeline Evaluation Platform
17 Calendar Week Engagement
1600 Eng-Hours (40 Eng-Weeks)
2 FPGA Designs
1 Controller (NIOS II) Software Design
Nuvation Design Engagement
CYCLONE V SoC CASE STUDY:VIDEO PIPELINE EVALUATION PLATFORM
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BLOCK DIAGRAM OF FPGA ARCHITECTURE
FPGA ‘A’ Board below is the Board that is targeted for the Cyclone V SoC Solution
CYCLONE V SoC CASE STUDY:VIDEO PIPELINE EVALUATION PLATFORM
36
ARM AND ALTERA DESIGN/DEVELOPMENT:CO-DESIGN AND CO-DEVELOPMENT
Cyclone V SoC Familiarity with tool chains does not
incur any extra engineering time and effort
Allows more flexibility for engineering resourcing
Complex interaction between PC and on-board FPGA ARM controller will benefit from the enhanced Debugging between FPGA fabric and ARM controller
Can utilize Linux and Ethernet interface to develop and debug application SW for both low level and PC interface
FPGA only Embedded OS
• PC based Application required both Low-Level and High Level control of FPGA Video Pipeline
• NIOS solution posed a problem in Horsepower and required additional time in IDE to nail down requirements
• The initial design UI was not ready until the late stages of the design
DEVELOPMENT AND DEBUG TOOL CHAIN BASED ON MATURE ECOSYSTEM OF TOOLS FOR BOTH ARM AND ALTERA
37
SYSTEM ARCHITECTING
HW/SW DESIGN PARTITIONING
Cyclone V SoC An SoC solution allows some of
the implementation details to be optimized during implementation with an initial architecture approach unblocking the development phase of the FPGA.
FPGA only The Initial Design Engagement
phase was over 8 engineering weeks of effort spanning an initial 5 week period
• There was considerable effort spent on initial architecture due to custom protocol between the PC and on-board NIOS II
• The architecture partitioning affected the FPGA implementation and both the Software and Hardware Detailed Design Specifications
• Several architecture decisions could not be postponed
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SYSTEM ARCHITECTING
INTEGRATED HARD IP PERIPHERALS (MEMORY)
Cyclone V SoC Cyclone V SoC Hard IP
• The design memory bandwidth requirements can utilize a single HPS hard memory controller for ARM program execution and Video Capture storage
• The FPGA DDR Pipeline buffer can be accessed by the ARM to implement incremental bring-up
Using hard memory controller reduces implementation and debugging time for both the Calendar and Engineering effort by 2-3 weeks. Details to follow.
FPGA only Design required storage for Video
Frame buffering for Video Pipeline and Video Capture controlled by user on Host PC via the NIOS II
Original design necessitated 2 external interfaces and 2 DDR soft cores
• Timing closure required a reduction in speed.
39
SYSTEM ARCHITECTING
INTEGRATED HARD IP PERIPHERALS (I2C AND SPI)
Cyclone V SoC This solution is available as Hard IP
connected directly to the ARM block
• Linux access to the I2C and SPI modules
—Low level drivers already exist
—Functional HW/SW blocks that do not to be debugged
—Already available to perform board level tests of the external interfaces
• Another example saving
—Time and effort costs
—FPGA internal resource reduction
FPGA only Original design used FPGA soft core
modules in conjunction with the NIOS II to interface with the second FPGA sensor board and configure external HDMI chips.
• This also involved Software Driver development work for the NIOS II developer
40
SYSTEM ARCHITECTING
INTEGRATED HARD IP PERIPHERALS (USB 2.0/GIGE ETHERNET/CUSTOM)
Cyclone V SoC The Cyclone V SoC GIGE Ethernet
interface is a “slam dunk” winner for the client
• Reducing complexity and image transfer time to Host PC.
• Leverage on existing Linux Ethernet interface connected to the Host PC
• Drastically minimize controller software development complexity and custom developed interface to FPGA fabric
• Early access for integration and debug
FPGA only Client originally was looking to use
USB 2.0 to interface between the host PC and the FPGA system board
• The board USB 2.0 was not functional and another means was looked into
• GIGE Ethernet was available but the client was concerned with the additional development time + costs + feasibility
• Client opted for a Custom Interface using the FPGA GPIO pins and an external board they decided to design themselves.
41
SYSTEM ARCHITECTING
FPGA “A” RESOURCE MAPPING INTO CYCLONE V SOC SE FAMILY OFFERING
Device Resources 5CSEA2 5CSEA4 5CSEA5 5CSEA6LEs (K) 25 40 85 110Adaptive logic modules (ALMs) 9,434 15,094 32,075 41,509M10K memory blocks 140 224 397 514M10K memory (Kb) 1,400 2,240 3,972 5,140MLABs (Kb) 138 220 480 62118-bit x 19-bit multipliers 72 116 174 224Variable-precision DSP blocks (1) 36 58 87 112FPGA PLLs 4 5 6 6HPS PLLs 3 3 3 3Maximum FPGA user I/Os 145 145 288 288Maximum HPS I/Os 188 188 188 188FPGA hard memory controllers 1 1 1 1
HPS hard memory controllers 1 1 1 1Processor cores (ARM CortexTM-A9 MPCoreTM) Single/Dual Single/Dual Single/Dual Single/Dual
Device Resources FPGA ‘A’LEs (K) 34Adaptive logic modules (ALMs) 12,600M10K memory blocks 90M10K memory (Kb) 900MLABs (Kb)18-bit x 19-bit multipliers 74Variable-precision DSP blocks (1) 37FPGA PLLs 2HPS PLLs 2Maximum FPGA user I/Os 140Maximum HPS I/Os 130FPGA hard memory controllers 1HPS hard memory controllers 1Processor cores (ARM CortexTM-A9 MPCoreTM) Single
Cyclone V SoC Device Selection Options
Design Requirements
42
RISK MITIGATION
..FUNCTIONAL REQUIREMENT CHANGES AND ENHANCEMENTS.
Cyclone V SoC Almost all aspects of risk
mitigation that we highlighted earlier would be applicable to this project by utilizing a Cyclone V SoC based solution
Image Capture Rate optimization could have more easily been handled in an SoC based solution with the ARM and Linux interface
FPGA only The client wanted to
increase the Image Capture Rate transfer to the Host PC system but was limited by initial HW interface selection.
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RISK MITIGATION
Cyclone V SoC GIGE Ethernet and Linux
environment available in a Cyclone V SoC are a “slam dunk” solution.
FPGA only The fact that the USB 2.0 did not work
and client opted for a custom interface using 8 bit wide FIFO GPIO with an internally developed custom board design
• Added undesirable delays for the client in the overall debugging and development before they were able to use our system as was delivered
—Majority of problem was attributed directly to signal integrity issues of the 3rd party custom board design
MORE EASILY ADAPTS TO HANDLE UNFORESEEN CHANGES IN EXTERNAL REQUIREMENTS OR EXPECTED SIGNALING BEHAVIOR
44
SYSTEM INTEGRATION AND BRING-UP
Cyclone V SoC We can take advantage of the
shared multi-port memory controller to insert and verify video frames
The next few slides make use of a brief “gut feel check” for data rates and throughputs
FPGA only Elements of the Video Pipeline
that were difficult to debug
• Capture Frame buffer
• Corner cases in some of the Video Pipeline Blocks
• Auto White Balancing
• Sensor Raw Data interface
FASTER AND LESS COSTLY WHEN FACTORING ELEMENTS SUCH AS USING EXTENSIVE CO-VERIFICATION REAL-TIME DEBUGGING OPTIONS
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SYSTEM INTEGRATION AND BRING-UP
FPGA “A” PARTIAL BLOCK DIAGRAM: THE VIDEO PROCESSING PIPELINE
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SYSTEM INTEGRATION AND BRING-UP
Easier systematic debugging process through incremental and step-wise development
• Taking advantage of the ARM cores computational power.
—The ARM is both powerful and fast enough to implement many of the sub-blocks of the Video Pipelining flow and manipulate the Pipeline Frame buffer
o Use reduced video rates when system wide solution utilizes software sub-modules
o FPGA sub-blocks all designed to support per module bypass
Video Res. 36 bit 32 bit 48 bit
Frame Buffer (12 bits / color) (10 bits/ color) (16 bits / color)
1080p60 4.5 Gb/s 4.0 Gb/s 6.0 Gb/s
1080p50 3.7 Gb/s 3.4 Gb/s 5.0 Gb/s
1080p30 2.3 Gb/s 2.0 Gb/s 3.0 Gb/s
1080p25 1.9 Gb/s 1.7 Gb/s 2.5 Gb/s
1080p24 1.8 Gb/s 1.6 Gb/s 2.4 Gb/s
720p60 2.0 Gb/s 1.7 Gb/s 2.7 Gb/s
720p50 1.7 Gb/s 1.5 Gb/s 2.3 Gb/s
720p30 1.0 Gb/s 0.9 Gb/s 1.4 Gb/s
47
The ARM Hard IP memory interface “Gut Feel Check” for manipulating and sharing the Pipeline Frame Buffer DDR3.
Showing example of 32 bit external interface to DDR3 and sample memory size of 256 MB
The Design can consider Ping Pong buffering schemes
Many decisions are deferred and effort is modular depending on potential bring-up issues, risk mitigation aspects as well as feature demonstration requirements
Example below shows a full frame of video at the lowest rate to be read and written to/from memory in around 6 ms allowing a minimum 26 ms of processing in a 30 fps requirement.
Note – a conservative DDR3 efficiency of 50% is shown whereas 75% is typical
SYSTEM INTEGRATION AND BRING-UP
Memory Freq. Ext.Width Data Rate Efficiency
Shared AccessRate
DDR3
MHz Bits 50% 1/2
300 32 19.2 Gb/s 9.6 Gb/s 4.8 Gb/s
400 32 25.6 Gb/s 12.8 Gb/s 6.4 Gb/s
Video Res. PixelStorage
MemoryStorage
Req.
Sample Storage256 MB
Bits MB Frames
1080p48 12.5 20
32 8.3 31
720p48 5.6 46
32 3.7 69
48
ACHIEVING CUSTOMER SATISFACTION THROUGH REQUIREMENTS UNDERSTANDING
Cyclone V SoC The Cyclone V SoC solution
introduced in this sample design would have been an ideal choice platform for this client. Additional and enhanced features could easily have been implemented within committed budgets and timeframes.
FPGA only Nuvation is able to clearly establish
and refine client requirements and align our engineering effort and deliverables during the IDE phase.
Some compromises were made early during the IDE phase for both cost and effort. Examples include initial support for HD-SDI and initial implementation of the auto white balance module. We were able to postpone decisions of these modules to the post implementation stages of the design.
ELABORATING VIA COHESIVE INITIAL DESIGN ENGAGEMENT PHASE AND ADDING CLARITY TO THE FEATURE REQUIREMENTS
49
Incorporating trade-offs and benefits from an in-depth understanding of the full system level design process
• Time to evaluate our SoC-based solution
—We will utilize the metrics directly from our project timetable and effort and make the necessary modifications to where the SoC would impact the schedule
—We will utilize this information to directly quantify the impact of an SoC-based solution
—The following slides illustrate the evaluation process as it relates to the Design phases of the project
SoC FPGA VS TRADITIONAL FPGA DESIGN FLOW:CASE STUDY CONCLUSIONS
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Quantifying effort at all the various levels of the design process
• ARM estimates are compared to the NIOS II actuals columns and actuals are used if the schedule is not directly impacted or has a minimal effect
• Estimate imply a potential reduction in both calendar week and engineering hours respectively as;
—12 w vs. 17 w = 70%
—1111 hrs. vs. 1711 hrs. = 65 %
• Estimate reduction of 30 % of Calendar time and 35% Cost
SoC FPGA VS TRADITIONAL FPGA DESIGN FLOW: CASE STUDY CONCLUSIONS
51
Cyclone V SoC FPGA “A”
• Engineering hours effort reduction
—260 vs. 410 = 63.5%
—Soft IP replaced by Hard IP
—Emulation modules reduction
Cyclone V SoC Controller NIOS II replaced by
embedded ARM
• Engineering hours effort reduction
—70 vs. 170 = 41%
—using GIGE Ethernet
—using Linux environment for Development and Host PC interface
LEVERAGING ON EXISTING DESIGN EXPERIENCE AND AVAILABLE IP MINIMIZES AND ACHIEVES ESTIMATE METRICS FOR THE DELIVERABLE COSTS AND TIME-FRAMES
SoC FPGA VS TRADITIONAL FPGA DESIGN FLOW: CASE STUDY CONCLUSIONS
52
DESIGN FOR TESTABILITY AND RELIABILITY
Cyclone V SoC Inherent part of Nuvation’s
design philosophy. The Cyclone V SoC solution reduces engineering effort and calendar time for this particular project as it is the right fit for the desired end product.
FPGA only Made use of development
kits
Additional effort involved in FPGA modules implementing test modules
• Effort involved is higher using FPGA coding then C-based higher level abstractions
CASE STUDY CONCLUSIONS:ON-TIME DELIVERABLES – FIRST TIME RIGHT
53
CLIENT HANDOFF
Cyclone V SoC A working system containing a
Cyclone V SoC with the initial low-level design details abstracted will further enable end-users to enable at a much higher programming level the numerous advantages a coherent FPGA/ARM processor has to offer.
FPGA only Deliverables in conjunction with
working prototypes allowed the client to use a GUI based interface on a Host PC to completely control the system. The details of the implementation are abstracted.
• New commands between the Host and the FPGA system were easily implemented using the NIOS II code headers and recompiling the NIOS II and updating the Flash on the system board
—again abstracting the FPGA details
SIMPLIFYING AND ABSTRACTING THE MORE COMPLEX FINER GRANULAR COMPONENTS OF COMPLEX SYSTEM DESIGN ELEMENTS
54
Questions?
Allan DubeauPrincipal Design
Engineer, Nuvation Engineering
Todd KoellingSr. Marketing Manager,
SoC Products, Altera
Stefan RosingerProduct Manager,
CPU, ARM
888.669.0828
Silicon Valley Headquarters151 Gibraltar Court, Sunnyvale, CA 94089 USA
Waterloo Design Center332 Marsland Drive, Suite 200, Waterloo, ON N2J 3Z1 Canada