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Mastering Reconfigurable Hardware: FPGAs, Acceleration & Future Trends

By Peter Alkema

Reconfigurable hardware offers a different set of design choices from a fixed chip or general-purpose processor.

$79.00 Buy this course

Format
Course
Lessons
101
License
PLR
Mastering Reconfigurable Hardware: FPGAs, Acceleration & Future Trends

What's in the PLR package

1 file · 3.4 GB · Included with the PLR license

  • Mastering FPGA Systems_ Reconfigurable Logic, Para_21a506f6-3b2f-42be-92c4-fd4d79cf36b9.zip 3.4 GB

Download links unlock in your account right after purchase.

Curriculum

101 lessons

  1. Lesson: Defining Reconfigurable Hardware in Contrast to Fi
  2. Lesson: Historical context: Why reconfigurable logic emerged in computing evolution
  3. Lesson: Comparing typical field-programmable gate array architectures to traditional processors
  4. Lesson: The rise of field-programmable gate arrays in diverse industry domains and use cases
  5. Lesson: Current trends showing the growing value of reconfigurability for future computation
  6. Lesson: Understanding configurable logic blocks and flexible switching resources
  7. Lesson: Programmable interconnects: Creating custom digital circuits through reconfiguration
  8. Lesson: Embedded memory, digital signal processing units, and their significance in designs
Show 93 more
  1. Lesson: Physical composition: Silicon, routing, input-output, and process technology in hardware
  2. Lesson: Vendor architectures: How leading companies tailor solutions for performance and cost
  3. Lesson: What makes reconfigurable logic fundamentally different from fixed logic designs
  4. Lesson: Illustrating the versatility of hardware for different tasks via logic remapping
  5. Lesson: Hardware reuse and field upgrades: Extending systems without physical overhaul
  6. Lesson: Design flexibility: Supporting innovation through hardware recomposition
  7. Lesson: Enabling innovation in rapidly-changing markets using reconfigurable logic concepts
  8. Lesson: Case study: Consumer electronics adapting rapidly via hardware reconfiguration
  9. Lesson: Telecom networking: Reconfigurability for evolving signal and protocol standards
  10. Lesson: Space and military use: System survivability and extension with reconfigurable logic
  11. Lesson: Industrial controls: Equipment modernization with minimal operational disruption
  12. Lesson: Medical devices: Balancing regulatory updates and engineering adaptability
  13. Lesson: Understanding parallelism�what it is, and why it matters in digital computations
  14. Lesson: Fine-grained versus coarse-grained parallel structures in hardware
  15. Lesson: Comparing data, task, and pipeline parallelism on reconfigurable logic
  16. Lesson: Concrete case: Image and signal processing solutions using parallel approaches
  17. Lesson: Exploring how parallelism amplifies throughput and reduces computational latency
  18. Lesson: How parallelism on reconfigurable hardware surpasses traditional central processors
  19. Lesson: Evaluating throughput and determinism for real-time processing demands
  20. Lesson: Case example: Achieving interactive speeds in artificial intelligence inference
  21. Lesson: Performance versus flexibility: Recognizing scenarios for optimized deployment
  22. Lesson: Addressing bottlenecks unique to field-programmable gate array computations
  23. Lesson: Digital filtering: How hardware parallelism transforms latency-bound applications
  24. Lesson: Fourier transforms: Multiple execution lanes boost performance in core workflows
  25. Lesson: Video encoding: Real-time streaming accelerated by parallel logic blocks
  26. Lesson: Biometric and medical imaging: Speeding up diagnosis through parallel processing
  27. Lesson: Practical limitations and trade-offs in scaling parallel workloads
  28. Lesson: Packet switching: Parallel state machines drive high-throughput, low-latency routing
  29. Lesson: Cryptographic acceleration: Parallel operations for secure real-time transactions
  30. Lesson: Case study: Reconfigurable logic optimizes software-defined networking platforms
  31. Lesson: Wireless protocols: Reconfigurable architectures for multi-standard radios
  32. Lesson: Comparing field-programmable gate arrays to application-specific solutions in networks
  33. Lesson: How hardware acceleration offloads workloads from general-purpose central processors
  34. Lesson: Explaining why hardware acceleration is critical for modern compute-intensive tasks
  35. Lesson: Classifying accelerable workloads: Where do field-programmable gate arrays excel
  36. Lesson: Architectural models: Direct, coprocessor, and heterogeneous offloading strategies
  37. Lesson: Performance, efficiency, and cost trade-offs in hardware acceleration
  38. Lesson: Financial trading: Field-programmable gate arrays for sub-microsecond transaction speeds
  39. Lesson: Genomics and bioinformatics: Hardware speeding up sequencing and data analysis
  40. Lesson: Datacenter acceleration: Custom compute offload for cloud-scale demand
  41. Lesson: Autonomous vehicles: Real-time sensor and decision processing exemplified
  42. Lesson: Comparing acceleration in field-programmable gate arrays versus graphics processors
  43. Lesson: Interfacing field-programmable gate arrays with central processors and memory systems
  44. Lesson: Resource partitioning and balancing for optimized workflow acceleration
  45. Lesson: Impact of on-chip memory architectures on overall system performance
  46. Lesson: Data movement, bottleneck management, and scalability for large workloads
  47. Lesson: Choosing appropriate system architecture for application requirements
  48. Lesson: Re-programmability enabling rapid iterative hardware and algorithm improvements
  49. Lesson: Supporting evolving standards and customer needs without costly redesigns
  50. Lesson: Case study: Long-term adaptability in industrial and aerospace applications
  51. Lesson: Cost- and time-saving updates for safety, regulation, and protocol changes
  52. Lesson: Evaluating when to invest in reconfigurability versus fixed hardware alternatives
  53. Lesson: Identifying domains best suited for reconfigurable logic and hardware acceleration
  54. Lesson: Benchmarking: Defining success for performance, power, and return-on-investment
  55. Lesson: Cost analysis: Total ownership cost considerations, from design to field operation
  56. Lesson: Long-term support, obsolescence risk, and ecosystem availability factors
  57. Lesson: Technology maturity, vendor support, and compatibility landscape assessment
  58. Lesson: Comparing energy use in reconfigurable versus traditional compute architectures
  59. Lesson: Techniques for optimizing power management on field-programmable gate arrays
  60. Lesson: Industrial and mobile applications: Importance of low-energy hardware approaches
  61. Lesson: Trade-offs between high performance and energy efficiency in application domains
  62. Lesson: Sustainability and environmental benefit case studies in hardware acceleration
  63. Lesson: Hardware-level attack surfaces: Evaluating unique security opportunities and risks
  64. Lesson: Bitstream encryption, tamper detection, and hardware-rooted trust models
  65. Lesson: Protecting intellectual property in reconfigurable logic platforms
  66. Lesson: Case studies: Security vulnerabilities and mitigation measures in real deployments
  67. Lesson: Balancing innovation, flexibility, and assurance in secure hardware systems
  68. Lesson: Identifying fundamental limitations of reconfigurable logic for certain workloads
  69. Lesson: Latency, resource contention, and overhead in very large system deployments
  70. Lesson: Cost, availability, and development skill gaps influencing adoption
  71. Lesson: Lessons from failed or stalled hardware acceleration projects
  72. Lesson: Roadmap to overcoming barriers and identifying future innovation possibilities
  73. Lesson: Data centers: How field-programmable gate arrays shape the next generation of cloud computing
  74. Lesson: Edge computing: Processing at the source with reconfigurable architectures
  75. Lesson: Aerospace, defense, and critical infrastructure: Meeting reliability and adaptability needs
  76. Lesson: Artificial intelligence and robotics: Powering autonomous, real-time solutions
  77. Lesson: Blockchain, machine learning, and next-generation research opportunities
  78. Lesson: Anticipated developments in silicon manufacturing benefiting field-programmable design
  79. Lesson: Convergence of central processors, graphics processors, and reconfigurable logic
  80. Lesson: Role of hardware acceleration in quantum and neuromorphic computing platforms
  81. Lesson: Standardization, ecosystem maturity, and the rise of domain-specific architectures
  82. Lesson: Vision for universally accessible hardware flexibility across next-decade technologies
  83. Lesson: Recognizing use cases where reconfigurable hardware maximizes business value
  84. Lesson: Evaluating organizational readiness for adopting alternative compute paradigms
  85. Lesson: Integrating field-programmable gate arrays into product development life cycles
  86. Lesson: Case examples: Success stories and pitfalls in strategic hardware acceleration moves
  87. Lesson: Checklist for management decision-making on specialization and hardware upgrades
  88. Lesson: Review of reconfigurable logic�s evolution, strengths, and present-day impact
  89. Lesson: Parallelism and acceleration�how they enable groundbreaking computational capacity
  90. Lesson: Summarizing conceptual trade-offs, best-use scenarios, and pitfalls to avoid
  91. Lesson: Key takeaways and future directions for aspiring engineers and technology leaders
  92. Lesson: Lifelong learning resources and continuing trends in reconfigurable computing
  93. Lesson: Resources

About this course

Reconfigurable hardware offers a different set of design choices from a fixed chip or general-purpose processor. This course examines FPGA architecture, parallel computation and the tradeoffs involved in choosing a hardware approach.

Logic blocks, switching fabrics, memory and DSP resources provide the architectural foundation. Hardware-description and configuration concepts connect the design with the way an FPGA is programmed and organized.

Examine the parallel work

Pipeline, data and task parallelism are discussed alongside CPU integration and data flow. Acceleration provides an application context for considering how a workload is divided and moved through the system.

Power, resource limits and bitstream security extend the discussion to constraints and responsibilities. Technology selection brings the topics together around the needs of a particular system.

The course is relevant to learners exploring reconfigurable computing and hardware-system concepts. It provides perspectives for comparing architecture choices and the constraints around them.

Adapt for reconfigurable-hardware education

A PLR license lets you modify, rebrand and resell the course. You could tailor it for a computing-architecture learning offer or place it alongside your own practical FPGA instruction. Your own workload examples can help connect the architectural concepts with your audience’s interests.

License rights

What each license lets you do. The full text is in the License terms.

License rights
Right PLR
Selling the course
Product may be sold separately YES
Product may be bundled with other products YES
Product can be a bonus for another product YES
Can be sold as a physical product YES
Can be sold as a digital product YES
Passing on rights
Can offer Resale Rights NO
Can offer Master Resale Rights NO
Can offer Private Label Rights NO
Show all 23 rights Show fewer rights
License rights, continued
Right PLR
Memberships, bonuses and lists
Can be added to paid membership sites YES
Can add bonuses to the Product for sale YES
Can be used to build a list YES
Rebranding and editing
You may put your own name on the sales letter YES
You may rename the product YES
You may edit the sales material YES
You may edit the content of the product YES
You may use the source code/material to create new products YES
You may use the name(s) of the author/creator/seller of the Product YES
Can translate the course into other languages YES
Not allowed with any license
Can be used for YouTube or other free video sites NO
Can be added to free membership sites NO
Can be given away for free NO
Can be used or sold on Uthena NO
Can be used or sold on Soofos, Udemy, Skillshare or other course marketplaces you don't own NO

Questions

What do I receive with a PLR or MRR license?

Downloadable package available: the complete course comes as files you download. The lessons are listed below; their online videos are still being added. PLR and MRR include a license key. Sales copy, editable formats and extras depend on the supplied package; check the listed contents.

What does lifetime access mean?

You can follow the course online for as long as it is available on Uthena. Downloadable files are guaranteed for 12 months from your purchase, so download them and keep your own copy.

Can I cancel my order?

Yes, within 7 days of your purchase: request a refund from your Uthena account. After 7 days an order can no longer be cancelled.

What if I want to speak to someone?

Email info@uthena.com, or support@uthena.com about an order, or use the contact form. We reply within two business days.

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