Research and Materials on Hardware implementation of Transformer Model
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Updated
Aug 8, 2024 - Jupyter Notebook
Research and Materials on Hardware implementation of Transformer Model
AIM, A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems, Bioinformatics, btad155, https://doi.org/10.1093/bioinformatics/btad155
A PIM instrumentation, compilation, execution, simulation, and evaluation repository for BLIMP-style architectures.
Source code & scripts for experimental characterization and demonstration of performing NOT and up to 16-input AND, NAND, OR, and NOR operations in real DDR4 DRAM chips. Described in our HPCA'24 paper by Yuksel et al. at https://arxiv.org/abs/2402.18736
Running state-of-the-art RNA-seq abundance quantification software "kallisto" on UPMEM DPU system
UpPipe is an RNA abundance quantification design on a real processing-near-memory system (UPMEM DPU); the paper of this project is published in Design Automation Conference (DAC) 2023
PIMeval simulator and PIMbench suite
Processing-In-Memory acceleration of Breadth-First Search on DPUs.
Code for distributed inference of WNN on the UPMEM PiM System
Implementation of WNNs on the UPMEM PiM system. This implementation is optimizing for MRAM utilization.
Distributed Training on the UPMEM PiM system
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