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Spatial
 
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Back Getting Started Targetting Devices Control Flow Hello, Spatial! 
Inner Product General Matrix Multiply (GeMM) Convolution Genetic
Alignment PageRank Bitcoin PoW (SHA2) Workload Arbiter Performance:
Using Instrumentation Performance: Best Practices Performance:
Streaming Controllers Performance: Meta-programming Design Space
Exploration Debugging FAQ
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HomePublications Tutorials Getting Started Targetting Devices Control
Flow Hello, Spatial! Inner Product General Matrix Multiply (GeMM)
Convolution Genetic Alignment PageRank Bitcoin PoW (SHA2) Workload
Arbiter Performance: Using Instrumentation Performance: Best
Practices Performance: Streaming Controllers Performance:
Meta-programming Design Space Exploration Debugging FAQ DocForum
Spatial
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SPATIAL

A high-level language for programming accelerators

Get Started
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Features

 

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Easily Write and Validate Algorithms

Write high-performance code without being encumbered by the low-level
details about hardware (unless you want to).  Validate code with a
short feedback loop that allows for rapid and efficient debugging

View Tutorial
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Automatically Explore Design Space

Let the compiler use neural networks to rapidly explore huge design
spaces, including coarse-grain pipelining and parallelization factors
and choose the optimal designs

Learn More
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Seamlessly Deploy to Hardware

Generate bitstreams and co-processor code for a variety of systems,
including Amazon AWS F1 instances, Xilinx Ultrascale MPSoC, Altera
Arria10 SoC, Coarse-grain reconfigurable architectures, ASIC-ready
HDL, and more...

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Spatial is a research project in the DAWN collaboration at Stanford
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