Yu-gyoung-Yun's repositories
alpa
Training and serving large-scale neural networks
ase_riscv_gem5_sim
RISCV Gem5 simulator flow for Architetture dei Sistemi di Elaborazione
awesome-distributed-ml
A curated list of awesome projects and papers for distributed training or inference
awesome-emdl
Embedded and mobile deep learning research resources
awesome-machine-learning-in-compilers
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
code-samples
Source code examples from the Parallel Forall Blog
cuptisamples
NVIDIA CUPTI samples mirror.
cutlass
CUDA Templates for Linear Algebra Subroutines
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DeepSpeedExamples
Example models using DeepSpeed
FasterTransformer
Transformer related optimization, including BERT, GPT
Hands-On-GPU-Programming-with-Python-and-CUDA
Hands-On GPU Programming with Python and CUDA, published by Packt
iree
A retargetable MLIR-based machine learning compiler and runtime toolkit.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
LLMSys-PaperList
LLM Systems Paper List
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
ML-Hardware-Collections
News and Paper Collections for Machine Learning Hardware
ml4se
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
scale-sim-v2
Repository to host and maintain scale-sim-v2 code
tensor_parallel
Automatically split your PyTorch models on multiple GPUs for training & inference
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorNVMe
A Python library transfers PyTorch tensors between CPU and NVMe
torch-ccl
oneCCL Bindings for Pytorch*
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
tutorial-multi-gpu
Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
xla
A machine learning compiler for GPUs, CPUs, and ML accelerators