Algorithm-Hardware Implications of Softmax Approximations for In-Memory Computing-Based LLM Accelerators

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Authors: Jan Finkbeiner, Sebastian Siegel, Chirag Sudarshan, Yuankang Zhao, John Paul Strachan, Emre Ozgur Neftci
Cited by: 0

Fields of Study & Subjects

Advanced Memory and Neural Computing Low-power high-performance VLSI design Parallel Computing and Optimization Techniques

Publication details

Journal / source
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Volume
16
Issue
2
Pages
483–499
Publication date
6 February 2026
Language
EN