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CoMeFa: Compute-in-Memory Blocks for FPGAs., , , , , , and . FCCM, page 1-9. IEEE, (2022)MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs., , , , and . FPGA, page 52. ACM, (2022)Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs., , and . ACSCC, page 1156-1163. IEEE, (2021)GAPS: GPU-acceleration of PDE solvers for wave simulation., , , , , and . ICS, page 30:1-30:13. ACM, (2022)Demystifying the MLPerf Benchmark Suite., , , , , , and . CoRR, (2019)The gem5 Simulator: Version 20.0+., , , , , , , , , and 63 other author(s). CoRR, (2020)Wave-PIM: Accelerating Wave Simulation Using Processing-in-Memory., , , , , , , and . ICPP, page 8:1-8:11. ACM, (2021)Intel Wins in Four Decades, but AMD Catches Up., , , and . IEEE Micro, 41 (6): 168-171 (2021)CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration., , , , , , , , and . ACM Trans. Reconfigurable Technol. Syst., 16 (3): 50:1-50:34 (September 2023)Demystifying the MLPerf Training Benchmark Suite., , , , , , and . ISPASS, page 24-33. IEEE, (2020)