Alternatives and similar repositories for Programming-Massively-Parallel-Processors-A-Hands-on-Approach-4th

Users that are interested in Programming-Massively-Parallel-Processors-A-Hands-on-Approach-4th are comparing it to the libraries listed below

• gpu-mode / profiling-cuda-in-torch
  ☆159Updated last year
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆69Updated 4 years ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• dlsyscourse / public_notebooks
  ☆58Updated 7 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆368Updated 3 months ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆13Updated 4 years ago
• loganwatchorn / notes-pmpp
  Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)
  ☆52Updated 10 months ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated last year
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆196Updated 11 months ago
• bertmaher / simplegemm
  ☆109Updated 3 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆134Updated last year
• 1y33 / 100Days
  GPU Kernels
  ☆182Updated 2 months ago
• CisMine / GPU-in-ML-DL
  Apply GPU in ML and DL
  ☆52Updated 4 months ago
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆233Updated 9 months ago
• stanford-cs149 / asst1
  Stanford CS149 -- Assignment 1
  ☆109Updated 8 months ago
• stanford-cs149 / cs149gpt
  ☆72Updated last year
• h3ct0rjs / HighPerformanceComputing
  Class of High Performance Computing taken at U.T.P 2017
  ☆65Updated 7 years ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆818Updated 5 months ago
• leimao / PyTorch-Eager-Mode-Quantization-TensorRT-Acceleration
  TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models
  ☆15Updated 11 months ago
• R100001 / Programming-Massively-Parallel-Processors
  ☆167Updated 10 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆238Updated 5 months ago
• pixom-ai / NVIDIA-AcceleratedComputing
  ☆35Updated 5 years ago
• open-lm-engine / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆51Updated this week
• dlsyscourse / hw0
  ☆36Updated last year
• Chillee / CS344_2021
  Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to …
  ☆46Updated 3 years ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆221Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆189Updated last month
• HMUNACHI / cuda-tutorials
  CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.
  ☆182Updated 2 weeks ago
• stanford-cs149 / asst3
  Stanford CS149 -- Assignment 3
  ☆27Updated 7 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆408Updated 4 months ago