Alternatives and similar repositories for Lightening-Transformer-AE

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

• 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…
  ☆15Updated 3 years ago
• ACADLab / SA-DS
  ☆11Updated 10 months ago
• Yu-Maryland / Differentiable_Scheduler_ICML24
  Differentiable Combinatorial Scheduling at Scale (ICML'24). Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi Yu.
  ☆21Updated 7 months 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
• zhuhanqing / Lightening-Transformer
  [HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
  ☆28Updated 4 months ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 4 months ago
• maestro-project / AIrchitect-v2
  [DATE 2025] Official implementation and dataset of AIrchitect v2: Learning the Hardware Accelerator Design Space through Unified Represen…
  ☆14Updated 4 months ago
• cornell-zhang / llm-datatypes
  Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
  ☆26Updated 11 months ago
• SeoLabCornell / torch2chip
  Torch2Chip (MLSys, 2024)
  ☆51Updated 2 months ago
• Accelergy-Project / processing-in-memory-design
  ☆26Updated last year
• GATECH-EIC / LLM4HWDesign_Starting_Toolkit
  LLM4HWDesign Starting Toolkit
  ☆17Updated 8 months ago
• mit-han-lab / spatten
  [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
  ☆93Updated 9 months ago
• isakedo / DNNsim
  ☆34Updated 4 years ago
• ucb-bar / dosa
  DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
  ☆15Updated 7 months ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆37Updated 3 years ago
• UCLA-VAST / GNN-DSE
  DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"
  ☆40Updated last year
• UCLA-VAST / AutoDSE
  ACM TODAES Best Paper Award, 2022
  ☆25Updated last year
• nimish15shah / DAG_Processor
  A DAG processor and compiler for a tree-based spatial datapath.
  ☆13Updated 2 years ago
• arc-research-lab / AIM
  AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (Full Paper a…
  ☆22Updated 3 weeks ago
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆44Updated last year
• union-codesign / union
  ☆14Updated 3 years ago
• ttambe / AdaptivFloat
  Adaptive floating-point based numerical format for resilient deep learning
  ☆14Updated 3 years ago
• pku-liang / TensorLib
  A Spatial Accelerator Generation Framework for Tensor Algebra.
  ☆57Updated 3 years ago
• mit-emze / cimloop
  ☆57Updated last month
• PSCLab-ASU / Systolic-CNN
  ☆16Updated 4 years ago
• GATECH-EIC / ViTALiTy
  ViTALiTy (HPCA'23) Code Repository
  ☆22Updated 2 years ago
• he-actlab / polymath
  ☆21Updated 3 months ago
• harvard-acc / EdgeBERT
  HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference
  ☆48Updated last year
• jeffreyyu0602 / quantized-training
  ☆27Updated this week
• UIUC-ChenLab / Chrysalis-HLS
  ☆14Updated 9 months ago