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- Studies of taso compiler
TASO: The Tensor Algebra SuperOptimizer for Deep Learning
- TASO optimizes the computation graphs of DNN models using automatically generated and verified graph transformations. For an arbitrary DNN model, TASO u…
- End-to-end inference performance comparison on a NVIDIA V10… See more
WEBTASO takes as input a list of operator specifications and generates candidate substitutions using the given operators as basic building blocks. All generated substitutions are for …
Catalyst: TASO - Carnegie Mellon University
WEBTASO outperforms the graph optimizers in existing deep learning frameworks by up to 3x. TASO directly optimizes any pre-trained DNN models in ONNX, TensorFlow, and …
Re-implementation of the TASO compiler using …
WEB29 rows · This essentially means you need GPUs and drivers for nvidia …
WEBWe propose TASO, the first DNN computation graph op-timizer that automatically generates graph substitutions. TASO takes as input a list of operator specifications and generates …
TASO | Proceedings of the 27th ACM Symposium on Operating …
WEBOct 27, 2019 · We propose TASO, the first DNN computation graph optimizer that automatically generates graph substitutions. TASO takes as input a list of operator …
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WEBTASO: Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions. Jia, Z., Padon, O., Thomas, J., Warszawski, T., Zaharia, M., & Aiken, A. …
TASO: optimizing deep learning computation with ... - ResearchGate
WEBOct 27, 2019 · TASO (Jia et al. 2019a) optimizes the computation graph aggressively while still launching the computation graph sequentially. Our method fuses the elementwise …
WEBTASO (Tensor Algebra SuperOptimizer) Automatic generation of graph substitutions. Formal verification of generated substitutions. Joint optimization over graph substitution …
[PDF] TASO: optimizing deep learning computation with …
WEBOct 27, 2019 · We propose TASO, the first DNN computation graph optimizer that automatically generates graph substitutions. TASO takes as input a list of operator …
TASO: Time and Space Optimization for Memory-Constrained …
WEBMay 21, 2020 · We optimize the trade-off between execution time and memory consumption by: 1) attempting to minimize execution time across the whole network by selecting data …
WEBTo mitigate this problem, recent work, namely TASO (Jia et al.,2019a), has shown an automatic cost-based search can replace heuristics to perform tensor graph rewriting.
WEBThis paper presents a novel technique for tensor graph superoptimization that employs equality saturation to apply all possible substitutions at once. We show that our …
WEBWe model the task of configuring a DNN to achieve the best inference time under memory constraint as an integer linear programming (ILP) problem. Typical DNNs can be viewed …
Transferable graph optimizers for ML compilers
WEBDec 6, 2020 · To address these limitations, we propose an end-to-end, transferable deep reinforcement learning method for computational graph optimization (GO), based on a …
Zhihao Jia - CMU School of Computer Science
WEBTASO is a Tensor Algebra SuperOptimizer for deep learning. It optimizes DNN computation graphs using automatically generated graph transformations, achieving up to 3x …
Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor ...
WEBSep 13, 2023 · The requirement for deploying deep learning (DL) models efficiently has boosted the research of DL compilers. Especially, the difficulty of generating optimized …
Catalyst: Publications - Carnegie Mellon University
WEBTASO: optimizing deep learning computation with automatic generation of graph substitutions. Zhihao Jia, Oded Padon, James Thomas, Todd Warszawski, Matei …
WEBGenerate training data from 150 ML models using random layout, fusion, tile size, and lag configurations. Train: one model for all graph-level optimizations to predict. absolute …
Papers with Code - TASO: Time and Space Optimization for …
WEBMay 21, 2020 · We optimize the trade-off between execution time and memory consumption by: 1) attempting to minimize execution time across the whole network by selecting data …
(PDF) TASO: Time and Space Optimization for Memory
WEBMay 21, 2020 · The Latte compiler synthesizes a program based on the user specification, applies a suite of domain-specific and general optimizations, and emits efficient machine …
TASO: A Tensor Algebra SuperOptimizer - 知乎 - 知乎专栏
WEBTACO是第一个自动生成子图替换的神经网络优化器。 它将 operator specifications 作为输入，生成一系列可替换的子图 candidates, 利用自动的 theorem prover来通过形式化验 …
TASO: Time and Space Optimization for Memory-Constrained …
WEBMay 21, 2020 · We propose an approach for ahead-of-time domain specific optimization of CNN models, based on an integer linear programming (ILP) for selecting primitive …
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