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Braco is a lightweight four-step coder that combines transform-basis truncation, input-independent basis-coordinate embeddings, budget-dependent orthogonal re-parameterization, and learned spatial residual tokens from lightweight pooling that forms the favorable empirical accuracy-efficiency frontier under compression.
Compute-in-memory (CiM) offers a promising solution to the hardware challenges faced in artificial intelligence (AI) and the Internet of Things (IoT), particularly in tackling the ”memory wall” problem. By leveraging nonvolatile memory (NVM) devices arranged in a crossbar structure, CiM efficiently accelerates multiply...
The first systematic study of imperfect specifications is presented and an automated framework to repair them to enhance the quality of resulting Verilog design is proposed, demonstrating the capabilities of specification repair by {VClare} as well as further potential of LLMs in front-end hardware design.
Seer is proposed, a training-free framework that detects their valid semantic boundary using a Signal-to-Noise Ratio (SNR)-based criterion and performs one-shot truncation of the redundant suffix for all subsequent computations, offering a highly efficient, plug-and-play solution for DMLLM acceleration.
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