Can search algorithms save large-scale automatic performance tuning?

Author:

Balaprakash Prasanna,Wild Stefan M.,Hovland Paul D.

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

1. Optimization of a lattice Boltzmann computation on state-of-the-art multicore platforms;Williams;Journal of Parallel and Distributed Computing,2009

2. Optimization and performance modeling of stencil computations on modern microprocessors;Datta;SIAM Review,2009

3. Optimization of sparse matrix-vector multiplication on emerging multicore platforms;Williams;Parallel Computing,2009

4. Autotuning and specialization: Speeding up matrix multiply for small matrices with compiler technology, in:;Shin,2009

5. Automatically tuned linear algebra software, in:;Whaley,1998

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2. Performance Tuning for GPU-Embedded Systems: Machine-Learning-Based and Analytical Model-Driven Tuning Methodologies;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

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4. ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments;2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS);2022-11

5. AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

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