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The Groq Software-defined Scale-out Tensor Streaming Multiprocessor : From chips-to-systems architectural overview.

, , , , , , , , , and . HCS, page 1-69. IEEE, (2022)

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Harnessing Numerical Flexibility for Deep Learning on FPGAs., , , , , , , , , and 1 other author(s). HEART, page 1:1-1:3. ACM, (2018)Harnessing the Power of FPGAs with the Intel FPGA SDK for OpenCL™., , and . IWOCL, page 19:1. ACM, (2017)BddCut: Towards Scalable Symbolic Cut Enumeration., , and . ASP-DAC, page 408-413. IEEE Computer Society, (2007)In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC., , , , , , , , , and 1 other author(s). FPL, page 106-110. IEEE Computer Society, (2018)DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration., , , , , , , , , and 1 other author(s). FPL, page 411-418. IEEE Computer Society, (2018)Challenges/Opportunities to Enable Dependable Scale-out System with Groq Deterministic Tensor-Streaming Processors., , , , , , and . DSN (Supplements), page 19-22. IEEE, (2022)FPGA PLB Evaluation using Quantified Boolean Satisfiability., , and . FPL, page 19-24. IEEE, (2005)Towards scalable placement for FPGAs., , , and . FPGA, page 147-156. ACM, (2010)Towards automated ECOs in FPGAs., , , and . FPGA, page 3-12. ACM, (2009)Incremental placement for structured ASICs using the transportation problem., , and . VLSI-SoC, page 172-177. IEEE, (2007)