Alternatives and similar repositories for zigzag-imc:

Users that are interested in zigzag-imc are comparing it to the libraries listed below

• KULeuven-MICAS / stream
  Multi-core HW accelerator mapping optimization framework for layer-fused ML workloads.
  ☆51Updated 2 months ago
• Accelergy-Project / micro22-sparseloop-artifact
  MICRO22 artifact evaluation for Sparseloop
  ☆43Updated 2 years ago
• Accelergy-Project / processing-in-memory-design
  ☆26Updated last year
• maestro-project / gamma
  ☆39Updated 9 months ago
• arkhadem / aim_simulator
  A simulator for SK hynix AiM PIM architecture based on Ramulator 2.0
  ☆13Updated 2 months ago
• neurosim / 3D_NeuroSim_V1.0
  Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration
  ☆22Updated 3 years ago
• maestro-project / magma
  ☆16Updated 2 years ago
• Zhaoshixin-sky / CIM-MLC
  [ASPLOS 2024] CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
  ☆30Updated 11 months ago
• diwu1990 / uSystolic-Sim
  A systolic array simulator for multi-cycle MACs and varying-byte words, with the paper accepted to HPCA 2022.
  ☆74Updated 3 years ago
• hngenc / stellar
  ☆26Updated 5 months ago
• maestro-project / confuciux
  ☆33Updated 3 years ago
• Accelergy-Project / accelergy-timeloop-infrastructure
  Linux docker for the DNN accelerator exploration infrastructure composed of Accelergy and Timeloop
  ☆52Updated last week
• CRAFT-THU / XB-Sim
  A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration
  ☆34Updated 2 years ago
• gkrish19 / SIAM-Chiplet-based-Scalable-In-Memory-Acceleration-with-Mesh-for-Deep-Neural-Networks
  A comprehensive tool that allows for system-level performance estimation of chiplet-based In-Memory computing (IMC) architectures.
  ☆21Updated 9 months ago
• maeri-project / FEATHER
  A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching
  ☆49Updated last month
• KULeuven-MICAS / DeFiNES
  A framework for fast exploration of the depth-first scheduling space for DNN accelerators
  ☆38Updated 2 years ago
• kartik-hegde / mindmappings
  A reference implementation of the Mind Mappings Framework.
  ☆29Updated 3 years ago
• UCLA-VAST / FlexCNN
  ☆71Updated 2 years ago
• neurosim / DNN_NeuroSim_V2.0
  Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
  ☆48Updated 3 years ago
• elliothe / pytorx
  Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory
  ☆40Updated 5 years ago
• mit-emze / raella
  ☆9Updated last year
• synergy-noc-generators / Proteus
  ☆10Updated 2 years ago
• horizon-research / systolic-array-dataflow-optimizer
  A general framework for optimizing DNN dataflow on systolic array
  ☆34Updated 4 years ago
• isakedo / DNNsim
  ☆34Updated 4 years ago
• ucb-bar / cosa
  A scheduler for spatial DNN accelerators that generate high-performance schedules in one shot using mixed integer programming (MIP)
  ☆79Updated last year
• sharc-lab / gnn-builder
  An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
  ☆21Updated 5 months ago
• ZigZag-Project / zigzag-v1
  A Fast DNN Accelerator Design Space Exploration Framework.
  ☆46Updated 2 years ago
• sharc-lab / DGNN-Booster
  ☆16Updated 2 years ago
• MPSLab-ASU / dMazeRunner
  dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
  ☆45Updated 3 years ago
• Aayush-Ankit / puma-simulator
  [ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and ru…
  ☆63Updated 2 years ago