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University of Toronto
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Reducing NoC congestion by over 95% in FPGA designs could revolutionize how we approach chip integration and performance optimization.
Achieving a 4.2x throughput boost for MXFP formats could redefine efficiency benchmarks in low-precision deep learning inference on FPGAs.
Tailored inter-die routing architectures can unlock significant performance gains in 2.5D and 3D FPGAs, challenging the limitations of traditional designs.
