A High-Efficiency Charge-Domain Compute-in-Memory 1F1C Macro Using 2-bit FeFET Cells for DNN Processing by Nellie Laleni, Franz Muller, Gonzalo Cunarro, Thomas Kampfe, Taekwang Jang

Subjects: “…artificial intelligence (AI) accelerator…”
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Evaluation of Novel AI Architectures for Uncertainty Estimation by Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

“…Using High-Performance (HPC) platforms, including the traditional Polaris supercomputer and AI accelerators like Cerebras CS-2 and SambaNova DataScale, we assessed the computational merits and bottlenecks of each platform. …”
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Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions by Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil

“…The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases <inline-formula> <tex-math notation="LaTeX">$\text{R}_{ON}/\text{R}_{OFF}$ </tex-math></inline-formula> ratio and negatively affects the achieved accuracy and reliability of the hardware. …”
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Co-Optimization of Power Delivery Network Design for 3-D Heterogeneous Integration of RRAM-Based Compute In-Memory Accelerators by Madison Manley, James Read, Ankit Kaul, Shimeng Yu, Muhannad Bakir

“…Three-dimensional heterogeneous integration (3D-HI) offers promising solutions for incorporating substantial embedded memory into cutting-edge analog compute-in-memory (CIM) AI accelerators, addressing the need for on-chip acceleration of large AI models. …”
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