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  • 👋 Hi, I’m @yiakwy-xpu-ml-framework-team
  • 👀 I’m interested in accelerating the word through algorithms, chips and intelligence. (compiler/transpiler, c++ for critical performance path and python bindings for HPC application.)
  • 🌱 I’m currently working on core framework infrastracture and AI compilier technologies.
  • 📫 Please drop me a message through [email protected]

yiakwy-xpu-ml-framework-team's Projects

amd-ck-fork icon amd-ck-fork

Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators

dali icon dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

gbp icon gbp

Gaussian Belief Propagation for Bundle adjustment and pose graph estimation.

gbp-poplar icon gbp-poplar

Poplar implementation of "Bundle Adjustment on a Graph Processor" (CVPR 2020)

groqflow icon groqflow

GroqFlow provides an automated tool flow for compiling machine learning and linear algebra workloads into Groq programs and executing those programs on GroqChip™ processors.

hpc-cookbook icon hpc-cookbook

Useful tutorials and recipes for developers doing low-level work with the Graphcore IPU

hpc-ipu icon hpc-ipu

Best practice for HPC with IPU backend for scientific/AI(Deep Learning Framework) algorithm and software development

libavif icon libavif

libavif - Library for encoding and decoding .avif files

lightseq icon lightseq

Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers

longctx_chunkllama icon longctx_chunkllama

Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

megatron-lm icon megatron-lm

Ongoing research training transformer models at scale

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