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Author

Tergel Molom-Ochir

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#edge computing Oct 2026

CAMformer: Binary Associative Memory Is All You Need

Transformer attention mechanisms pose significant scalability challenges due to quadratic complexity in sequence length, and existing accelerators remain bottlenecked by dense arithmetic and data movement. This paper proposes CAMformer, a hardware accelerator that reinterprets attention as an associative memory operati...

Tergel Molom-Ochir, Benjamin F. Morris, Mark Horton et al. · 0 citations
Book Open access Aug 2026

A Differentiable Simulator for Optimizing Time-Domain Analog CNN Accelerators

This work introduces a differentiable, GPU-accelerated CNN inference simulator that backpropagates through the analog accumulation trajectory, and allows gradient-based exploration of high-dimensional, heterogeneous hardware-parameter settings.

Mark Horton, Changwoo Park, Tergel Molom-Ochir et al. · 0 citations
Jul 2026

Multi-primitive in-memory computing for Monte Carlo tree search

Monte Carlo tree search (MCTS) enables artificial intelligence (AI) decision-making, but requires 55-300 W on conventional processors, limiting edge deployment. In-memory computing (IMC) is energy-efficient on regular workloads but has been considered incompatible with irregular multi-phase algorithms. We introduce pha...

Tergel Molom-Ochir, Benjamin F. Morris, Yin-Tao He et al. · 0 citations

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