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Exploring the scalable matrix extension of the Apple M4 processor

SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) architectures. SparseP is developed to evaluate and characteri…

PyGim is the first runtime framework to efficiently execute Graph Neural Networks (GNNs) on real Processing-in-Memory systems. It provides a high-level Python interface, currently integrated with P…

PIM-ML is a benchmark for training machine learning algorithms on the UPMEM architecture, which is the first publicly-available real-world processing-in-memory (PIM) architecture. Described in the …

whatever it means

TransPimLib is a library for transcendental (and other hard-to-calculate) functions in general-purpose PIM systems, TransPimLib provides CORDIC-based and LUT-based methods for trigonometric functio…

Hyperdimensional computing in memory

AIM (Alignment-in-Memory), A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems, Bioinformatics, btad155, https://doi.org/10.1093/bioinformatics/btad155

Artifact of MICRO'25 paper Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device

Source code & scripts for distributed machine learning training workloads on a real-world Processing-In-Memory system (i.e., UPMEM). Described in our PACT'24 paper by Rhyner et al. at https://arxiv…

Source code for artifacts used to evaluate the RACER architecture [M. Truong et al, MICRO 2021]