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Researchers at Arizona State University and University of Maryland published “SEAL: Multitenant Security-Aware Layer Mapping for Heterogeneous 3-D CiM Accelerators.” Abstract: “Heterogeneous 3-D compute-in-memory architectures can combine different memory technologies across stacked tiers to accelerate deep neural…
Analog in-memory computing delivers efficient neural network inference at the edge, but systems deployed in non-stationary environments may need to adapt in situ to locally acquired data. Backpropagation faces two structural obstacles here. Its global error transport lets stochastic write errors compound across…
DRAM-based Processing-in-Memory (PIM) addresses the "memory wall" by executing computations directly inside main memory. However, memory interleaving and virtual memory limit contiguous data size visible to PIM units, constraining PIM task granularity. To mitigate this, existing PIM systems drastically isolate PIM…
Analog in-memory computing performs the matrix-vector multiplications of neural networks directly inside the memory array, which saves time and energy. But each memory cell stores only a few levels and is noisy, so one cell cannot hold a weight precisely. The standard fix is to split each weight across several cells,…
Data movement between memory and processing units remains a major bottleneck in data-centric systems. Memristive Stateful Logic (SL) addresses this problem by performing Boolean operations directly on stored resistive states. However, arithmetic efficiency depends jointly on the device-supported logic primitive set,…
Compute-in-Memory (CiM) is an alternative computing paradigm that circumvents the memory bandwidth bottleneck. Variants utilizing non-volatile memory cells (NVCiM) to perform Boolean operations directly within memory arrays offer significant density and energy-efficiency advantages. Fully realizing this potential,…
In-memory compute with LPDDR5X
Session 7, Hot Chips 2025, Tuesday, August 26, 2025. Chair: Ronny Krashinsky, NVIDIA Memory: (Almost) the Only Thing That Matters Mark Kuemerle, Marvell Corsair - An In-memory Computing Chiplet Architecture for Inference-time Compute Acceleration Sudeep Bhoja, d-Matrix UB-Mesh: Huawei’s Next-Gen AI SuperComputer with…