Introduction to FPGAs in Parallel Computing
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Transcript of Introduction to FPGAs in Parallel Computing
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Introduction to
FPGAs in Parallel Computing
Sebastian Grygiel
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What will we learnWhat is an FPGA
Differences between FPGA and a conventional processor
How does FPGA work
Advantages and disadvantages of using FPGAs
Applications of FPGAs
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What is an FPGA
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Field Programmable Gate ArrayA chip - in a package like ordinary
processors
Device containing large amounts of simple, but versatile components
Reconfigurable silicon surface
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How does an FPGA differ from a conventional processor
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How does a conventional processors work“Conventional” processor - x86, ARM, AVR and others
Faster clock speeds possible
Clock cycle usually executes around one instruction
Sequential execution model
Limited parallel access to available chip resources
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How is an FPGA different from such processorLower clock speeds
A single clock cycle is not related to an instruction
Programs take space and not time
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Programmer’s PerspectiveClear division of control and data flow
High awareness of where the data is
Moving data is easy, changing its flow is hard
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Advantages and Disadvantages of FPGAs
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Advantages of FPGAsEquivalent parallel execution of all instructions
Can accelerate dataflow-heavy algorithms by factors of up to several tens
High power efficiency
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Disadvantages of FPGAsExpensive to buy
Expensive to program
Some algorithms cannot be implemented efficiently
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Applications of FPGAs
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Electronic DevicesHome Internet routers
Medical equipment
Cameras
Hardware controllers
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Industrial and Research ApplicationsNano-scale physical computation
Weather simulation
Seismic data analysis
Financial analytics
Low latency systems
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Alternatives to FPGAs?
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Conclusion
FPGAs are usually more expensive,
different from conventional processors,
but can be used to greatly accelerate some algorithms.
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Further Information and ResourcesMaxeler machine is available on the campus
Contact Dr Ingo Frommholz if you are interested in doing a research project with the machine