Alternatives and similar repositories for project-athena

Users that are interested in project-athena are comparing it to the libraries listed below

• chhzh123 / ptc-tutorial
  PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo
  ☆17Updated 2 years ago
• Lunderberg / tvmcon-2021
  Slides from 2021-12-15 talk, "TVM Developer Bootcamp – Writing Hardware Backends"
  ☆10Updated 3 years ago
• illinois-impact / klap
  A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches
  ☆15Updated 6 years ago
• ACANETS / eece-6540-labs
  labs and exercises for EECE.6540 Heterogeneous Computing at UMass Lowell
  ☆13Updated 2 years ago
• pytorchfi / pytorchfi
  A runtime fault injection tool for PyTorch
  ☆125Updated last year
• Huangxy-Minel / System-Design-for-Federated-Learning
  Paper list of federated learning: About system design
  ☆13Updated 3 years ago
• hku-systems / naspipe
  ☆14Updated 3 years ago
• jiazhihao / sosp19ae
  Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions
  ☆21Updated 3 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 6 years ago
• jiazhihao / attention_superoptimizer
  An Attention Superoptimizer
  ☆22Updated 11 months ago
• ganler / ResearchReading
  General system research material (not limited to paper) reading notes.
  ☆22Updated 4 years ago
• xshaun / sc22-ae
  ☆14Updated last month
• CMU-SAFARI / HWASim
  HWASim is a simulator for heterogeneous systems with CPUs and Hardware Accelerators (HWAs). It is released with the DASH memory scheduler…
  ☆19Updated 9 years ago
• akshithasriraman / Accelerometer
  The accelerometer analytical model published in ASPLOS 2020 (Accelerometer: Understanding Acceleration Opportunities forData Center Overh…
  ☆16Updated 5 years ago
• guanh01 / CS692-mlsys
  This is the (evolving) reading list for the seminar.
  ☆61Updated 5 years ago
• intel / neuro-vectorizer
  NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops…
  ☆97Updated 2 years ago
• SwarmArch / T4
  Code released to accompany the ISCA paper: "T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware"
  ☆28Updated 3 years ago
• xinghu7788 / DeepSniffer
  ☆26Updated 5 years ago
• limenghao / AdaTune
  This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
  ☆14Updated 4 years ago
• YuhanLiu11 / AutoFreeze
  ☆22Updated 5 years ago
• he-actlab / polymath
  ☆22Updated 10 months ago
• harvard-edge / Gables
  ☆15Updated 5 years ago
• siddharth9820 / MoDNN
  Implementation of algorithms for memory optimized deep neural network training
  ☆10Updated 5 years ago
• sjtu-epcc / DVABatch
  ☆21Updated 3 years ago
• dywsjtu / apparate
  Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]
  ☆25Updated last year
• ucamrl / xrlflow
  ☆13Updated 2 years ago
• comaniac / epoi
  Benchmark PyTorch Custom Operators
  ☆14Updated 2 years ago
• ruipeterpan / paper_notes
  Personal blog + reading notes on system-ish papers
  ☆15Updated 2 years ago
• buaa-hipo / dlcompiler-comparison
  The quantitative performance comparison among DL compilers on CNN models.
  ☆74Updated 5 years ago
• rval735 / bisunaU50
  BiSUNA framework specialized to compile for the Xilinx Alveo U50
  ☆13Updated 5 years ago