| HyperAccel Adelia: A 4nm LLM Processor for Efficient Generative AI Inference
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Seungjae Moon; Hyper Accel |
| Basilisk: A 34 mm² End-to-End Open-Source 64-bit Linux-Capable RISC-V SoC in 130nm BiCMOS
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Philippe Sauter; ETH Zurich |
| Bit-Separable Transformer Accelerator Leveraging Output Activation Sparsity for Efficient DRAM Access
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Seunghyun Park; Kyungpook National University |
| Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization for On-device Generative AI
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Sangjin Kim; KAIST |
| An Energy-Efficient Spatial Computing SoC for Real-time Interactable-Rendering and Modeling with Surface-aware 3D Gaussian Splatting
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Seokchan Song; KAIST |
| BROCA: A Low-power and Low-latency Conversational Agent RISC-V System-on-Chip for Voice-interactive Mobile Devices
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Wooyoung Jo; KAIST |
| MEGA.mini: A NPU with Novel Heterogeneous AI Processing Architecture Balancing Efficiency, Performance, and Intelligence for the Era of Generative AI
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Donghyeon Han; Chung-Ang University |
| High Density Si-IPD Technologies as enabler for High-Performance and Low-Power consumption Processor Chips
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Mohamed Mehdi Jatlaoui; Murata |
| Clo-HDnn: Continual On-Device Learning Accelerator with Hyperdimensional Computing via Progressive Search
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Chang Eun Song; UC San Diego |
| A 4.69mW LLM Processor with Binary/Ternary Weights for Billion-Parameter Llama Model
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Sangyeob Kim; Yonsei University |
| KLIMA: Low-latency mixed-signal In-Memory Computing accelerator for solving arbitrary-order Boolean Satisfiability
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Tinish Bhattacharya; UC Santa Barbara |