Search Results for author:
Found 8 papers, 4 papers with code
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 Bayesian optimization to explore the parameter space search and compare four different supervised learning methods within Bayesian optimization and evaluate their effectiveness.
Report of the Workshop on Program Synthesis for Scientific Computing
Program synthesis is an active research field in academia, national labs, and industry.
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 implementations/configurations of a kernel or an application by selecting and evaluating a subset of implementations/configurations on a target platform and/or use models to identify a high performance implementation/configuration.
Autotuning Search Space for Loop Transformations
In this paper we propose a loop transformation search space that takes the form of a tree, in contrast to previous approaches that usually use vector spaces to represent loop optimization configurations.
The Last Journey. I. An Extreme-Scale Simulation on the Mira Supercomputer
A range of analysis tools have been run in situ to enable a diverse set of science projects, and at the same time, to keep the resulting data amount manageable.
Cosmology and Nongalactic Astrophysics
Design and Use of Loop-Transformation Pragmas
Adding a pragma directive into the source code is arguably easier than rewriting it, for instance for loop unrolling.
The Mira-Titan Universe: Precision Predictions for Dark Energy Surveys
The new sampling method allows us to build precision emulators from just 26 cosmological models and to increase the emulator accuracy by adding new sets of simulations in a prescribed way.
Cosmology and Nongalactic Astrophysics
Gravitational Waves from Oscillon Preheating
However, a significant stochastic gravitational wave background may be generated during preheating itself (i. e, when oscillons are forming), and in this case the characteristic size of the oscillons is imprinted on the gravitational wave power spectrum, which has multiple, distinct peaks.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology High Energy Physics - Theory
