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merrymercy/awesome-tensor-compilers - GitHub
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding by Pratik Fegade et al., MLSys 2022; Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference by Haichen Shen et al., MLSys …
Github.comDA: 10 PA: 36 MOZ Rank: 46
XLA: Optimizing Compiler for Machine Learning
XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that can accelerate TensorFlow models with potentially no source code changes. The results are improvements in speed and memory usage: …
Tensorflow.orgDA: 18 PA: 4 MOZ Rank: 23
A Tensor Compiler for Unified Machine Learning Prediction …
A Tensor Compiler for Unified Machine Learning Prediction Serving Supun Nakandalac,, Karla Saurm, Gyeong-In Yus,, Konstantinos Karanasosm, Carlo Curinom, Markus Weimerm, Matteo Interlandim mMicrosoft, cUC San Diego, sSeoul National University {<name>.<surname>}@microsoft.com,[email protected], [email protected] …
Usenix.orgDA: 14 PA: 34 MOZ Rank: 50
tensor-compiler · GitHub
Tensor-compiler has 7 repositories available. Follow their code on GitHub.
Gh.377run.designDA: 16 PA: 16 MOZ Rank: 35
The CoRa Tensor Compiler: Compilation for Ragged Tensors with …
This paper presents CoRa, a tensor compiler that allows users to easily generate efficient code for ragged tensor operators targeting a wide range of CPUs and GPUs. Evaluating CoRa on a variety of operators on ragged tensors as well as on an encoder layer of the transformer model, we find that CoRa (i)performs competitively with hand-optimized ...
Deepai.orgDA: 10 PA: 50 MOZ Rank: 46
LoopStack: a Lightweight Tensor Algebra Compiler Stack
We present LoopStack, a domain specific compiler stack for tensor operations, composed of a frontend, LoopTool, and an efficient optimizing code generator, LoopNest. This stack enables us to compile entire neural networks and generate code targeting the AVX2, AVX512, NEON, and NEONfp16 instruction sets while incorporating optimizations often …
Deepai.orgDA: 10 PA: 50 MOZ Rank: 81
GitHub - pytorch/TensorRT: PyTorch/TorchScript/FX compiler for …
Torch-TensorRT is a compiler for PyTorch/TorchScript/FX, targeting NVIDIA GPUs via NVIDIA's TensorRT Deep Learning Optimizer and Runtime. Unlike PyTorch's Just-In-Time (JIT) compiler, Torch-TensorRT is an Ahead-of-Time (AOT) compiler, meaning that before you deploy your TorchScript code, you go through an explicit compile step to convert a ...
Github.comDA: 10 PA: 17 MOZ Rank: 33
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