Alternatives and similar repositories for MRFI

Users that are interested in MRFI are comparing it to the libraries listed below

• cjg91 / trans-fat
  An FPGA Accelerator for Transformer Inference
  ☆92Updated 3 years ago
• booniebears / CoMN
  ☆18Updated last year
• puccinic / Transformer_dataflow
  C++ code for HLS FPGA implementation of transformer
  ☆19Updated last year
• ECASLab / hls-fpga-accelerators
  Collection of kernel accelerators optimised for LLM execution
  ☆25Updated last month
• Linger0 / SRAM-Compute-In-Memory
  A collection of research papers on SRAM-based compute-in-memory architectures.
  ☆30Updated 2 years ago
• arc-research-lab / CHARM
  CHARM: Composing Heterogeneous Accelerators on Heterogeneous SoC Architecture
  ☆162Updated this week
• CRAFT-THU / XB-Sim
  A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration
  ☆36Updated 3 years ago
• neurosim / DNN_NeuroSim_V1.3
  Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
  ☆75Updated 2 years ago
• xliu0709 / WinoCNN
  An HLS based winograd systolic CNN accelerator
  ☆54Updated 4 years ago
• RakeshUIUC / multihead_attn_accelerator
  Accelerate multihead attention transformer model using HLS for FPGA
  ☆11Updated 2 years ago
• wangxy-2000 / pimsim-nn
  ☆58Updated last year
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆55Updated 2 years ago
• sunxt99 / PIMCOMP-NN
  ☆73Updated 10 months ago
• neurosim / DNN_NeuroSim_V1.4
  Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
  ☆76Updated 10 months ago
• RuokaiYin / LoAS
  LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.
  ☆16Updated 9 months ago
• skycrapers / Eva-CiM
  Code of "Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures", TCAD 2020
  ☆11Updated 4 years ago
• CASR-HKU / MSD-FCCM23
  Open-source of MSD framework
  ☆16Updated 2 years ago
• RW999creator / GPP-PIM
  ☆10Updated last year
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆29Updated last year
• pku-liang / Sanger
  A co-design architecture on sparse attention
  ☆54Updated 4 years ago
• neurosim / DNN_NeuroSim_V2.1
  Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
  ☆179Updated last year
• maeri-project / FEATHER
  A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching
  ☆74Updated 2 months ago
• arc-research-lab / SSR
  SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration (Full Paper Accepted in FPGA'24)
  ☆35Updated this week
• linghaosong / Sextans
  An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).
  ☆92Updated last year
• fffasttime / AnyPackingNet
  ☆32Updated 9 months ago
• cornell-zhang / FracBNN
  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  ☆95Updated 4 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…
  ☆68Updated 2 years ago
• diwu1990 / uSystolic-Sim
  A systolic array simulator for multi-cycle MACs and varying-byte words, with the paper accepted to HPCA 2022.
  ☆83Updated 4 years ago
• Accelergy-Project / accelergy
  Accelergy is an energy estimation infrastructure for accelerator energy estimations
  ☆154Updated 7 months 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.
  ☆23Updated last year