SlideShare a Scribd company logo
1 of 31
Managing High Performance  Data Pipeline Execution  with an FPGA Processor Presenter: Ben Hor – Xilinx, Inc Authors: Glenn Steiner, Dan Isaacs – Xilinx, Inc. David Pellerin – Impulse Accelerated Technologies
Agenda  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is  Control Plane / Data Plane Processing and  Why Might I Need It?
Challenge Example:    HD Video Streaming ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Coprocessing: An Effective Way of Accelerating Software ,[object Object],[object Object],[object Object]
A Look at Coprocessing Architectures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Control Plane / Data Plane Data In  Data Out User Interface Processor Bus or  Dedicated Control Channel(s) Control Plane Data Plane Control Plane Processor (OS) Coprocessor Coprocessor Coprocessor
Control / Data Plane Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Adapted from: Active correlation between the control and data plane – Z. Morley Mao
FPGA’s Enable Computation Balancing Between a Processor and Application Specific Logic
FPGAs: Ideal for Coprocessing  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
External Processor Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation of A  Control Plane / Data Plane System is Straight Forward
Building The Control Plane / Data Plane System ,[object Object],[object Object],[object Object],[object Object],[object Object]
Assemble the Control Plane Processor
 
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Assemble and Connect the Data Plane
CASE STUDY: HD VIDEO RECOGNITION SYSTEM
The Case Study Problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Architected Solution ,[object Object],[object Object]
Base Processor Reference Design Linux Xilinx MicroBlaze Processor Block RAM SystemAce Compact Flash ICC GPIO LEDs GPIO DIP Switch Debug Module UART Multiport Memory Controller DDR2 Memory GPIO Push Buttons Clock Generator Reset Module
DVI Pass-through Reference Design ,[object Object],DVI  Input DVI  Output Image  Processing
DVI Pass-through Reference Design ,[object Object],Image  Processing DVI  Input DVI  Output ,[object Object],[object Object],[object Object],[object Object],System Generator Custom video accelerator pcore
Integrated Control/Data Plane System DVI The processor is used to dynamically configure filters Processor Local Bus (PLB) DVI  Filter control (UART)  New Pipeline Element DVI In Gamma In Gamma Out DVI Out Xilinx MicroBlaze Processor System 2D FIR Filter Object Detection
HD Object Detection & Highlighting
Connecting the  Embedded Processor to the FPGA with Linux
Control the Pipe with Linux ,[object Object],[object Object],[object Object],[object Object],[object Object]
Configure Linux for the IO Device ,[object Object],[object Object],[object Object],[object Object],[object Object]
Controlling the Data Pipe with the Linux Application ,[object Object],[object Object],[object Object],[object Object],[object Object]
SUMMARY ,[object Object],[object Object],[object Object],[object Object]
Thank You Glenn Steiner, Dan Isaacs – Xilinx, Inc. David Pellerin – Impulse Accelerated Technologies

More Related Content

What's hot

Public Seminar_Final 18112014
Public Seminar_Final 18112014Public Seminar_Final 18112014
Public Seminar_Final 18112014Hossam Hassan
 
Exploration of Radars and Software Defined Radios using VisualSim
Exploration of  Radars and Software Defined Radios using VisualSimExploration of  Radars and Software Defined Radios using VisualSim
Exploration of Radars and Software Defined Radios using VisualSimDeepak Shankar
 
6 profiling tools
6 profiling tools6 profiling tools
6 profiling toolsvideos
 
Linaro Connect 2016 (BKK16) - Introduction to LISA
Linaro Connect 2016 (BKK16) - Introduction to LISALinaro Connect 2016 (BKK16) - Introduction to LISA
Linaro Connect 2016 (BKK16) - Introduction to LISAPatrick Bellasi
 
Performance out of the box developers
Performance   out of the box developersPerformance   out of the box developers
Performance out of the box developersMichelle Holley
 
Implementation of Soft-core Processor on FPGA
Implementation of Soft-core Processor on FPGAImplementation of Soft-core Processor on FPGA
Implementation of Soft-core Processor on FPGADeepak Kumar
 
Digital design lect 26 27
Digital design lect 26 27Digital design lect 26 27
Digital design lect 26 27babak danyal
 
Best Practices and Performance Studies for High-Performance Computing Clusters
Best Practices and Performance Studies for High-Performance Computing ClustersBest Practices and Performance Studies for High-Performance Computing Clusters
Best Practices and Performance Studies for High-Performance Computing ClustersIntel® Software
 
Revisit DCA, PCIe TPH and DDIO
Revisit DCA, PCIe TPH and DDIORevisit DCA, PCIe TPH and DDIO
Revisit DCA, PCIe TPH and DDIOHisaki Ohara
 
SDVIs and In-Situ Visualization on TACC's Stampede
SDVIs and In-Situ Visualization on TACC's StampedeSDVIs and In-Situ Visualization on TACC's Stampede
SDVIs and In-Situ Visualization on TACC's StampedeIntel® Software
 
FUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGN
FUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGNFUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGN
FUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGNPankaj Singh
 
Arista @ HPC on Wall Street 2012
Arista @ HPC on Wall Street 2012Arista @ HPC on Wall Street 2012
Arista @ HPC on Wall Street 2012Kazunori Sato
 
Intel Knights Landing Slides
Intel Knights Landing SlidesIntel Knights Landing Slides
Intel Knights Landing SlidesRonen Mendezitsky
 
AMD_11th_Intl_SoC_Conf_UCI_Irvine
AMD_11th_Intl_SoC_Conf_UCI_IrvineAMD_11th_Intl_SoC_Conf_UCI_Irvine
AMD_11th_Intl_SoC_Conf_UCI_IrvinePankaj Singh
 
Using VPP and SRIO-V with Clear Containers
Using VPP and SRIO-V with Clear ContainersUsing VPP and SRIO-V with Clear Containers
Using VPP and SRIO-V with Clear ContainersMichelle Holley
 
Preparing Codes for Intel Knights Landing (KNL)
Preparing Codes for Intel Knights Landing (KNL)Preparing Codes for Intel Knights Landing (KNL)
Preparing Codes for Intel Knights Landing (KNL)AllineaSoftware
 

What's hot (20)

Public Seminar_Final 18112014
Public Seminar_Final 18112014Public Seminar_Final 18112014
Public Seminar_Final 18112014
 
Exploration of Radars and Software Defined Radios using VisualSim
Exploration of  Radars and Software Defined Radios using VisualSimExploration of  Radars and Software Defined Radios using VisualSim
Exploration of Radars and Software Defined Radios using VisualSim
 
6 profiling tools
6 profiling tools6 profiling tools
6 profiling tools
 
Linaro Connect 2016 (BKK16) - Introduction to LISA
Linaro Connect 2016 (BKK16) - Introduction to LISALinaro Connect 2016 (BKK16) - Introduction to LISA
Linaro Connect 2016 (BKK16) - Introduction to LISA
 
Performance out of the box developers
Performance   out of the box developersPerformance   out of the box developers
Performance out of the box developers
 
Implementation of Soft-core Processor on FPGA
Implementation of Soft-core Processor on FPGAImplementation of Soft-core Processor on FPGA
Implementation of Soft-core Processor on FPGA
 
Intel python 2017
Intel python 2017Intel python 2017
Intel python 2017
 
Digital design lect 26 27
Digital design lect 26 27Digital design lect 26 27
Digital design lect 26 27
 
Best Practices and Performance Studies for High-Performance Computing Clusters
Best Practices and Performance Studies for High-Performance Computing ClustersBest Practices and Performance Studies for High-Performance Computing Clusters
Best Practices and Performance Studies for High-Performance Computing Clusters
 
Revisit DCA, PCIe TPH and DDIO
Revisit DCA, PCIe TPH and DDIORevisit DCA, PCIe TPH and DDIO
Revisit DCA, PCIe TPH and DDIO
 
SDVIs and In-Situ Visualization on TACC's Stampede
SDVIs and In-Situ Visualization on TACC's StampedeSDVIs and In-Situ Visualization on TACC's Stampede
SDVIs and In-Situ Visualization on TACC's Stampede
 
FUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGN
FUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGNFUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGN
FUSION APU & TRENDS/ CHALLENGES IN FUTURE SoC DESIGN
 
SoC: System On Chip
SoC: System On ChipSoC: System On Chip
SoC: System On Chip
 
Arista @ HPC on Wall Street 2012
Arista @ HPC on Wall Street 2012Arista @ HPC on Wall Street 2012
Arista @ HPC on Wall Street 2012
 
Intel Knights Landing Slides
Intel Knights Landing SlidesIntel Knights Landing Slides
Intel Knights Landing Slides
 
AMD_11th_Intl_SoC_Conf_UCI_Irvine
AMD_11th_Intl_SoC_Conf_UCI_IrvineAMD_11th_Intl_SoC_Conf_UCI_Irvine
AMD_11th_Intl_SoC_Conf_UCI_Irvine
 
Using VPP and SRIO-V with Clear Containers
Using VPP and SRIO-V with Clear ContainersUsing VPP and SRIO-V with Clear Containers
Using VPP and SRIO-V with Clear Containers
 
Chris brown ti
Chris brown tiChris brown ti
Chris brown ti
 
The_Final_Presentation
The_Final_PresentationThe_Final_Presentation
The_Final_Presentation
 
Preparing Codes for Intel Knights Landing (KNL)
Preparing Codes for Intel Knights Landing (KNL)Preparing Codes for Intel Knights Landing (KNL)
Preparing Codes for Intel Knights Landing (KNL)
 

Viewers also liked

"Implementing Eye Tracking for Medical, Automotive and Headset Applications,"...
"Implementing Eye Tracking for Medical, Automotive and Headset Applications,"..."Implementing Eye Tracking for Medical, Automotive and Headset Applications,"...
"Implementing Eye Tracking for Medical, Automotive and Headset Applications,"...Edge AI and Vision Alliance
 
Beacon Marketing Seminar Faces of Content
Beacon Marketing Seminar Faces of ContentBeacon Marketing Seminar Faces of Content
Beacon Marketing Seminar Faces of ContentFaces of Content
 
Betting, Big on Mobile - with Andrew Till
 Betting, Big on Mobile - with Andrew Till Betting, Big on Mobile - with Andrew Till
Betting, Big on Mobile - with Andrew TillHARMAN Services
 
Internet of Things Insights
Internet of Things InsightsInternet of Things Insights
Internet of Things InsightsWalton Institute
 
DDS in Action -- Part I
DDS in Action -- Part IDDS in Action -- Part I
DDS in Action -- Part IAngelo Corsaro
 
The Cloudy, Foggy and Misty Internet of Things -- Toward Fluid IoT Architect...
The Cloudy, Foggy and Misty Internet of Things --  Toward Fluid IoT Architect...The Cloudy, Foggy and Misty Internet of Things --  Toward Fluid IoT Architect...
The Cloudy, Foggy and Misty Internet of Things -- Toward Fluid IoT Architect...Angelo Corsaro
 
DDS and OPC UA Explained
DDS and OPC UA ExplainedDDS and OPC UA Explained
DDS and OPC UA ExplainedAngelo Corsaro
 

Viewers also liked (7)

"Implementing Eye Tracking for Medical, Automotive and Headset Applications,"...
"Implementing Eye Tracking for Medical, Automotive and Headset Applications,"..."Implementing Eye Tracking for Medical, Automotive and Headset Applications,"...
"Implementing Eye Tracking for Medical, Automotive and Headset Applications,"...
 
Beacon Marketing Seminar Faces of Content
Beacon Marketing Seminar Faces of ContentBeacon Marketing Seminar Faces of Content
Beacon Marketing Seminar Faces of Content
 
Betting, Big on Mobile - with Andrew Till
 Betting, Big on Mobile - with Andrew Till Betting, Big on Mobile - with Andrew Till
Betting, Big on Mobile - with Andrew Till
 
Internet of Things Insights
Internet of Things InsightsInternet of Things Insights
Internet of Things Insights
 
DDS in Action -- Part I
DDS in Action -- Part IDDS in Action -- Part I
DDS in Action -- Part I
 
The Cloudy, Foggy and Misty Internet of Things -- Toward Fluid IoT Architect...
The Cloudy, Foggy and Misty Internet of Things --  Toward Fluid IoT Architect...The Cloudy, Foggy and Misty Internet of Things --  Toward Fluid IoT Architect...
The Cloudy, Foggy and Misty Internet of Things -- Toward Fluid IoT Architect...
 
DDS and OPC UA Explained
DDS and OPC UA ExplainedDDS and OPC UA Explained
DDS and OPC UA Explained
 

Similar to Xilinx track g

Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph
Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph
Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph Ceph Community
 
Using a Field Programmable Gate Array to Accelerate Application Performance
Using a Field Programmable Gate Array to Accelerate Application PerformanceUsing a Field Programmable Gate Array to Accelerate Application Performance
Using a Field Programmable Gate Array to Accelerate Application PerformanceOdinot Stanislas
 
NI Compact RIO Platform
NI Compact RIO PlatformNI Compact RIO Platform
NI Compact RIO Platformjlai
 
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...Puppet
 
DAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence
DAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI ConvergenceDAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence
DAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergenceinside-BigData.com
 
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)Ontico
 
SCFE 2020 OpenCAPI presentation as part of OpenPWOER Tutorial
SCFE 2020 OpenCAPI presentation as part of OpenPWOER TutorialSCFE 2020 OpenCAPI presentation as part of OpenPWOER Tutorial
SCFE 2020 OpenCAPI presentation as part of OpenPWOER TutorialGanesan Narayanasamy
 
G rpc talk with intel (3)
G rpc talk with intel (3)G rpc talk with intel (3)
G rpc talk with intel (3)Intel
 
Threading Successes 03 Gamebryo
Threading Successes 03   GamebryoThreading Successes 03   Gamebryo
Threading Successes 03 Gamebryoguest40fc7cd
 
Introduction to Software Defined Visualization (SDVis)
Introduction to Software Defined Visualization (SDVis)Introduction to Software Defined Visualization (SDVis)
Introduction to Software Defined Visualization (SDVis)Intel® Software
 
HPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural NetworksHPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural Networksinside-BigData.com
 
Clusters (Distributed computing)
Clusters (Distributed computing)Clusters (Distributed computing)
Clusters (Distributed computing)Sri Prasanna
 
PowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDAPowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDAAlexander Grudanov
 
Using the Cypress PSoC Processor
Using the Cypress PSoC ProcessorUsing the Cypress PSoC Processor
Using the Cypress PSoC ProcessorLloydMoore
 

Similar to Xilinx track g (20)

Choosing the right processor
Choosing the right processorChoosing the right processor
Choosing the right processor
 
Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph
Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph
Ceph Day Seoul - AFCeph: SKT Scale Out Storage Ceph
 
Using a Field Programmable Gate Array to Accelerate Application Performance
Using a Field Programmable Gate Array to Accelerate Application PerformanceUsing a Field Programmable Gate Array to Accelerate Application Performance
Using a Field Programmable Gate Array to Accelerate Application Performance
 
NI Compact RIO Platform
NI Compact RIO PlatformNI Compact RIO Platform
NI Compact RIO Platform
 
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
Exploring the Final Frontier of Data Center Orchestration: Network Elements -...
 
DAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence
DAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI ConvergenceDAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence
DAOS - Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence
 
Introduction to Blackfin BF532 DSP
Introduction to Blackfin BF532 DSPIntroduction to Blackfin BF532 DSP
Introduction to Blackfin BF532 DSP
 
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)
 
SCFE 2020 OpenCAPI presentation as part of OpenPWOER Tutorial
SCFE 2020 OpenCAPI presentation as part of OpenPWOER TutorialSCFE 2020 OpenCAPI presentation as part of OpenPWOER Tutorial
SCFE 2020 OpenCAPI presentation as part of OpenPWOER Tutorial
 
Agnostic Device Drivers
Agnostic Device DriversAgnostic Device Drivers
Agnostic Device Drivers
 
G rpc talk with intel (3)
G rpc talk with intel (3)G rpc talk with intel (3)
G rpc talk with intel (3)
 
Threading Successes 03 Gamebryo
Threading Successes 03   GamebryoThreading Successes 03   Gamebryo
Threading Successes 03 Gamebryo
 
Balancing Power & Performance Webinar
Balancing Power & Performance WebinarBalancing Power & Performance Webinar
Balancing Power & Performance Webinar
 
Introduction to Software Defined Visualization (SDVis)
Introduction to Software Defined Visualization (SDVis)Introduction to Software Defined Visualization (SDVis)
Introduction to Software Defined Visualization (SDVis)
 
HPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural NetworksHPC Impact: EDA Telemetry Neural Networks
HPC Impact: EDA Telemetry Neural Networks
 
Clusters (Distributed computing)
Clusters (Distributed computing)Clusters (Distributed computing)
Clusters (Distributed computing)
 
509 512
509 512509 512
509 512
 
PowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDAPowerDRC/LVS 2.2 released by POLYTEDA
PowerDRC/LVS 2.2 released by POLYTEDA
 
Using the Cypress PSoC Processor
Using the Cypress PSoC ProcessorUsing the Cypress PSoC Processor
Using the Cypress PSoC Processor
 
The Cell Processor
The Cell ProcessorThe Cell Processor
The Cell Processor
 

More from Alona Gradman

Bary pangrle mentor track d
Bary pangrle   mentor track dBary pangrle   mentor track d
Bary pangrle mentor track dAlona Gradman
 
C:\fakepath\apache track d updated
C:\fakepath\apache   track d updatedC:\fakepath\apache   track d updated
C:\fakepath\apache track d updatedAlona Gradman
 
Apache track d updated
Apache   track d updatedApache   track d updated
Apache track d updatedAlona Gradman
 
National instruments track e
National instruments   track eNational instruments   track e
National instruments track eAlona Gradman
 
Stephan berg track f
Stephan berg   track fStephan berg   track f
Stephan berg track fAlona Gradman
 
Mullbery& veriest track g
Mullbery& veriest  track gMullbery& veriest  track g
Mullbery& veriest track gAlona Gradman
 
Target updated track f
Target updated   track fTarget updated   track f
Target updated track fAlona Gradman
 
C:\fakepath\micrologic track c
C:\fakepath\micrologic   track cC:\fakepath\micrologic   track c
C:\fakepath\micrologic track cAlona Gradman
 
Timing¬Driven Variation¬Aware NonuniformClock Mesh Synthesis
Timing¬Driven Variation¬Aware NonuniformClock Mesh SynthesisTiming¬Driven Variation¬Aware NonuniformClock Mesh Synthesis
Timing¬Driven Variation¬Aware NonuniformClock Mesh SynthesisAlona Gradman
 
Chip Ex2010 Gert Goossens
Chip Ex2010 Gert GoossensChip Ex2010 Gert Goossens
Chip Ex2010 Gert GoossensAlona Gradman
 

More from Alona Gradman (19)

Bary pangrle mentor track d
Bary pangrle   mentor track dBary pangrle   mentor track d
Bary pangrle mentor track d
 
C:\fakepath\apache track d updated
C:\fakepath\apache   track d updatedC:\fakepath\apache   track d updated
C:\fakepath\apache track d updated
 
Apache track d updated
Apache   track d updatedApache   track d updated
Apache track d updated
 
National instruments track e
National instruments   track eNational instruments   track e
National instruments track e
 
Stephan berg track f
Stephan berg   track fStephan berg   track f
Stephan berg track f
 
Mullbery& veriest track g
Mullbery& veriest  track gMullbery& veriest  track g
Mullbery& veriest track g
 
Altera trcak g
Altera  trcak gAltera  trcak g
Altera trcak g
 
Arm updated track h
Arm updated  track hArm updated  track h
Arm updated track h
 
Evatronix track h
Evatronix   track hEvatronix   track h
Evatronix track h
 
Target updated track f
Target updated   track fTarget updated   track f
Target updated track f
 
Vsync track c
Vsync   track cVsync   track c
Vsync track c
 
C:\fakepath\micrologic track c
C:\fakepath\micrologic   track cC:\fakepath\micrologic   track c
C:\fakepath\micrologic track c
 
Synopsys track c
Synopsys track cSynopsys track c
Synopsys track c
 
Intel track a
Intel   track aIntel   track a
Intel track a
 
Mips track a
Mips   track aMips   track a
Mips track a
 
E silicon track b
E silicon  track bE silicon  track b
E silicon track b
 
Magma trcak b
Magma  trcak bMagma  trcak b
Magma trcak b
 
Timing¬Driven Variation¬Aware NonuniformClock Mesh Synthesis
Timing¬Driven Variation¬Aware NonuniformClock Mesh SynthesisTiming¬Driven Variation¬Aware NonuniformClock Mesh Synthesis
Timing¬Driven Variation¬Aware NonuniformClock Mesh Synthesis
 
Chip Ex2010 Gert Goossens
Chip Ex2010 Gert GoossensChip Ex2010 Gert Goossens
Chip Ex2010 Gert Goossens
 

Recently uploaded

POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 

Recently uploaded (20)

POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 

Xilinx track g

  • 1. Managing High Performance Data Pipeline Execution with an FPGA Processor Presenter: Ben Hor – Xilinx, Inc Authors: Glenn Steiner, Dan Isaacs – Xilinx, Inc. David Pellerin – Impulse Accelerated Technologies
  • 2.
  • 3. What is Control Plane / Data Plane Processing and Why Might I Need It?
  • 4.
  • 5.
  • 6.
  • 7. What is Control Plane / Data Plane Data In Data Out User Interface Processor Bus or Dedicated Control Channel(s) Control Plane Data Plane Control Plane Processor (OS) Coprocessor Coprocessor Coprocessor
  • 8.
  • 9. FPGA’s Enable Computation Balancing Between a Processor and Application Specific Logic
  • 10.
  • 11.
  • 12. Implementation of A Control Plane / Data Plane System is Straight Forward
  • 13.
  • 14. Assemble the Control Plane Processor
  • 15.  
  • 16.  
  • 17.
  • 18. CASE STUDY: HD VIDEO RECOGNITION SYSTEM
  • 19.
  • 20.
  • 21. Base Processor Reference Design Linux Xilinx MicroBlaze Processor Block RAM SystemAce Compact Flash ICC GPIO LEDs GPIO DIP Switch Debug Module UART Multiport Memory Controller DDR2 Memory GPIO Push Buttons Clock Generator Reset Module
  • 22.
  • 23.
  • 24. Integrated Control/Data Plane System DVI The processor is used to dynamically configure filters Processor Local Bus (PLB) DVI Filter control (UART) New Pipeline Element DVI In Gamma In Gamma Out DVI Out Xilinx MicroBlaze Processor System 2D FIR Filter Object Detection
  • 25. HD Object Detection & Highlighting
  • 26. Connecting the Embedded Processor to the FPGA with Linux
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. Thank You Glenn Steiner, Dan Isaacs – Xilinx, Inc. David Pellerin – Impulse Accelerated Technologies

Editor's Notes

  1. Example of a “real-time” non-frame buffer based processing solution. There are several products that require a specialized streaming processing, and this example provide a quick and easy method for the developer to quickly the existing design with their algorithm. The fully integrated HW-CoSim environment enables a faster validation cycle with the hardware in the loop functionality.
  2. DE Gen - Data Enable Generator - Example of a “real-time” non-frame buffer based processing solution. There are several products that require a specialized streaming processing, and this example provide a quick and easy method for the developer to quickly the existing design with their algorithm. The fully integrated HW-CoSim environment enables a faster validation cycle with the hardware in the loop functionality.