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cs.AR2026
Enabling Retraining-Free Accurate Inference in Analog Compute in Memory Accelerators
George Karfakis, Puneet Gupta
Analog compute-in-memory (CIM) accelerators compute matrix-vector products directly inside memory arrays, eliminating weight movement and promising order-of-magnitude gains in infe…
cs.AR2026
MXFormer: A Microscaling Floating-Point Charge-Trap Transistor Compute-in-Memory Transformer Accelerator
George Karfakis, Samyak Chakrabarty, Vinod Kurian Jacob +4
The proliferation of Transformer models is often constrained by the significant computational and memory bandwidth demands of deployment. To address this, we present MXFormer, a no…