DISCA achieves 3.59 TOPS/W per bit energy efficiency for matrix multiplication at 500 MHz in 180 nm CMOS using a compressed Bent-Pyramid stochastic format.
Compute-in-eDRAM with Backend Integrated Indium Gallium Zinc Oxide Transistors
6 Pith papers cite this work. Polarity classification is still indexing.
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NEM-GNN proposes a scalable DAC/ADC-less PIM architecture for GNNs with early termination and CAR execution, claiming 80-230x performance and 850-1134x energy gains over prior accelerators.
PLENA introduces a co-designed system with three optimization pathways for long-context agentic LLM inference, claiming up to 2.23x throughput over A100 and 4.04x energy efficiency.
The paper adapts prior reflection frameworks into an eight-indicator scheme for software engineering and validates fine-tuned encoder-only transformers that classify student reflections with human-level agreement on most indicators.
Overview chapter surveying volatile and non-volatile memories including SRAM, DRAM, RRAM, MRAM, FeFET and cryogenic JJFET devices, with focus on principles, tradeoffs, and challenges.
citing papers explorer
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DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
DISCA achieves 3.59 TOPS/W per bit energy efficiency for matrix multiplication at 500 MHz in 180 nm CMOS using a compressed Bent-Pyramid stochastic format.
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A complete discussion on fully reconfigurable, digital, scalable, graph and sparsity-aware near-memory accelerator for graph neural networks
NEM-GNN proposes a scalable DAC/ADC-less PIM architecture for GNNs with early termination and CAR execution, claiming 80-230x performance and 850-1134x energy gains over prior accelerators.
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Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference
PLENA introduces a co-designed system with three optimization pathways for long-context agentic LLM inference, claiming up to 2.23x throughput over A100 and 4.04x energy efficiency.
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Identifying Quality Indicators in Student Self-Reflections in Software Engineering
The paper adapts prior reflection frameworks into an eight-indicator scheme for software engineering and validates fine-tuned encoder-only transformers that classify student reflections with human-level agreement on most indicators.
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Emerging memory technologies at room/cryogenic temperature
Overview chapter surveying volatile and non-volatile memories including SRAM, DRAM, RRAM, MRAM, FeFET and cryogenic JJFET devices, with focus on principles, tradeoffs, and challenges.