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05/12/2023
Understanding Automatic Differentiation Pitfalls
Automatic differentiation, also known as backpropagation, AD, autodiff, ...
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03/28/2023
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales
As we enter the exascale computing era, efficiently utilizing power and ...
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05/10/2021
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations
Polly is the LLVM project's polyhedral loop nest optimizer. Recently, us...
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04/27/2021
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)
In this paper, we develop a ytopt autotuning framework that leverages Ba...
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10/15/2020
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization
An autotuning is an approach that explores a search space of possible im...
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07/05/2019
Automatic Differentiation for Adjoint Stencil Loops
Stencil loops are a common motif in computations including convolutional...
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02/13/2019
Training on the Edge: The why and the how
Edge computing is the natural progression from Cloud computing, where, i...
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10/11/2018