processing-in-memory

There are 0 repository under processing-in-memory topic.

• transfomers-silicon-research

  alimpk / transfomers-silicon-research

  Research and Materials on Hardware implementation of Transformer Model

  acceleratorbertfpga-acceleratorgpu-accelerationhardware-designspretrained-modelsprocessing-in-memoryresearch-papersystolic-arraystransformervideo-transformerfpganatural-language-processing
  Language:Jupyter Notebook 146

• safaad / aim

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

  processing-in-memorysequence-alignmentsequence-analysisupmemwavefront-alignment
  Language:C 19

• dovedevic / blimp

  A PIM instrumentation, compilation, execution, simulation, and evaluation repository for BLIMP-style architectures.

  blimpcompilersdramprocessing-in-memoryrisc-vsimulation-framework
  Language:C 14

• chi-0828 / RNA-Abundance-Quantification-on-UPMEM

  Running state-of-the-art RNA-seq abundance quantification software "kallisto" on UPMEM DPU system

  rna-seq-quantificationupmemdpukallistoprocessing-in-memory
  Language:C 6

• chi-0828 / UpPipe

  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

  processing-in-memoryrna-seq-quantificationupmemdpugenome-sequencingprocessing-near-memory
  Language:C 4

• TarekAS / bfs-pim-research

  Processing-In-Memory acceleration of Breadth-First Search on DPUs.

  upmemnear-memory-accelerationprocessing-in-memory
  Language:C 3

• Xavier0301 / BiM

  Code for distributed inference of WNN on the UPMEM PiM System

  cmachine-learningprocessing-in-memoryupmemweightless-neural-network
  Language:Assembly 2

• Xavier0301 / BiMT

  Distributed Training on the UPMEM PiM system

  cmachine-learningprocessing-in-memoryupmemweightless-neural-network
  Language:Assembly 1

• Xavier0301 / PIMbthowen

  Implementation of WNNs on the UPMEM PiM system. This implementation is optimizing for MRAM utilization.

  machine-learningprocessing-in-memoryupmemweightless-neural-network
  Language:Jupyter Notebook 1