While FPGAs have long been a platform for prototyping and optimized hardware solutions to cyber-security and DSP applications, recent advances in High-Level Synthesis have made them more amenable for applications like machine learning and high-performance computing. Here we provide access to a variety of FPGA boards from the primary FPGA vendors, Intel and Xilinx.
What’s available currently?:
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FPGA Board
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FPGA
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Memory
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Programming Tools
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Notes
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Hosting Machine |
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GX1150
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8 GB DDR3
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Intel SDK, OpenCL
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shared via the GTRI CIPHER lab
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Flubber | |
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SX660 (Arm+GX1150)
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6 GB DDR4
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Intel SDK, OpenCL
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shared via the GTRI CIPHER lab
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Flubber | |
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GX1150
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4 GB DDR3
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Intel SDK
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Available upon request
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||
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GX1150
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8 GB DDR4
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Intel SDK, OneAPI
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On loan from Intel
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Flubber | |
| Bittware 520N | GX2800 | 16 GB DDR4 | Intel SDK, OpenCL | Flubber | |
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Zynq XC7Z020-1CLG400C
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512MB DDR3
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Xilinx Vivado
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Also available for Nengo-FPGA
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Brainard | |
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Zynq UltraScale+ MPSoC XCZU7EV-1FBVB900E
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DDR4
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Xilinx Vitis, Vivado
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Brainard | ||
| ZCU106 Devkit | Coming soon | ||||
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Ultrascale+ XCU280
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8 GB HBM2
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Xilinx Vitis, Vivado, Vitis AI
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Supported in part by Xilinx University Program
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Flubber, multiple cards | |
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Kintex UltraScale 060 and HMC
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4 GB HMC
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Xilinx Vivado 2016
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Supported in part by Micron
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Cubed | |
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Virtex Ultrascale+ UV7P and HMC
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2 GB HMC, 16 GB DDR4
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Xilinx Vivado 2018+
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Supported in part by Micron
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Cubed |
Tools: Intel FPGA SDK 2019 (19.3, 20.1), Intel Devstack, Xilinx Vitis and Vivado 19.2, 20.1, Xilinx PYNQ
Primary Contact: Jeffrey Young
Restrictions: None
Related Projects: SuperSTaRLU, GTRI CIPHER research, SRTML, RISC-V on FPGA