Alternatives and similar repositories for Lightening-Transformer-AE

Users that are interested in Lightening-Transformer-AE are comparing it to the libraries listed below

• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆53Updated 3 months ago
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆96Updated 10 months ago
• maestro-project / AIrchitect-v2
  [DATE 2025] Official implementation and dataset of AIrchitect v2: Learning the Hardware Accelerator Design Space through Unified Represen…
  ☆15Updated 6 months ago
• GATECH-EIC / Auto-NBA
  [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…
  ☆16Updated 3 years ago
• GATECH-EIC / DNN-Chip-Predictor
  [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…
  ☆25Updated 2 years ago
• ACADLab / SA-DS
  ☆12Updated 11 months ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 5 months ago
• diwu1990 / UnarySim
  This is a general-purpose simulator for unary computing based on PyTorch, with the paper accepted to ISCA 2020 and awarded IEEE Micro Top…
  ☆44Updated 2 years ago
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆27Updated last year
• zhuhanqing / Lightening-Transformer
  [HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
  ☆31Updated 5 months ago
• UCLA-VAST / AutoDSE
  ACM TODAES Best Paper Award, 2022
  ☆25Updated last year
• GATECH-EIC / mg-verilog
  ☆46Updated 9 months ago
• isakedo / DNNsim
  ☆35Updated 5 years ago
• Yu-Maryland / Differentiable_Scheduler_ICML24
  Differentiable Combinatorial Scheduling at Scale (ICML'24). Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu.
  ☆21Updated 8 months ago
• mit-emze / cimloop
  ☆61Updated last month
• maestro-project / gamma
  ☆41Updated last year
• GATECH-EIC / ViTCoD
  [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆109Updated 2 years ago
• JeremieMelo / pyutility
  ☆10Updated 4 months ago
• dimdano / adapt
  Fast Emulation of Approximate DNN Accelerators in PyTorch
  ☆23Updated last year
• PingchengDong / GQA-LUT
  The official implementation of the DAC 2024 paper GQA-LUT
  ☆19Updated 7 months ago
• linghaosong / Sextans
  An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).
  ☆81Updated 11 months ago
• harvard-acc / EdgeBERT
  HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference
  ☆49Updated last year
• union-codesign / union
  ☆14Updated 3 years ago
• Accelergy-Project / processing-in-memory-design
  ☆25Updated last year
• GATECH-EIC / AutoDNNchip
  ☆71Updated 5 years ago
• GATECH-EIC / Edge-LLM
  [DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive La…
  ☆59Updated last year
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆49Updated last year
• ucb-bar / dosa
  DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
  ☆15Updated 9 months ago
• fffasttime / AnyPackingNet
  ☆27Updated 3 months ago
• GATECH-EIC / LLM4HWDesign_Starting_Toolkit
  LLM4HWDesign Starting Toolkit
  ☆17Updated 9 months ago