A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication. - Grégoire Eggermann; Marco Rios; Giovanni Ansaloni; Sani R. Nassif; David Atienza (VLSI-SoC, 2023)

Keep All in Memory with Maxwell: A Near-SRAM Computing Architecture for Edge AI Applications. - Grégoire Eggermann; Giovanni Ansaloni; David Atienza (ISQED, 2025)