Abstract: Matrix operators are fundamental to various applications, particularly in deep learning. While early models relied on dense operations, techniques like pruning have introduced sparsity, ...
pSyncPIM: Partially Synchronous Execution of Sparse Matrix Operations for All-Bank PIM Architectures
Abstract: Recent commercial incarnations of processing-in-memory (PIM) maintain the standard DRAM interface and employ the all-bank mode execution to maximize bank-level memory bandwidth. Such a ...
D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
This project explores a collection of NYC restaurant health inspection records using MongoDB. The dataset is MongoDB's official sample restaurants collection, which contains restaurants across all ...
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