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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

ali-rtp-llm-fork icon ali-rtp-llm-fork

RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.

amd-ck-fork icon amd-ck-fork

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

amd-hip-fork icon amd-hip-fork

HIP: C++ Heterogeneous-Compute Interface for Portability

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.

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

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