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Towards A Rule-Based Approach To Generate High-Performance Scientific Code.pdf

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Preview of Towards a Rule-Based Approach to Generate High-Performance Scientific Code
🔗 Source: cliplab.org
📊 Size: 230 KB
📄 Pages: 8 pages
⬇️ Downloads: 183

Summary

Researchers propose a rule-based approach to transform architecture-agnostic scientific code into high-performance code for heterogeneous computing platforms. The approach uses semantic annotations and formalized transformation rules guided by heuristics to capture run-time characteristics, aiming to achieve efficiency without sacrificing functionality. A tool based on this idea is under development, focusing on scientific code due to its high energy and time consumption, and the need to port existing algorithms to new architectures. The framework assumes scientific code implements mathematical formulas, allowing for sound transformations that preserve the original code's meaning.

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Description

Researchers propose a rule-based approach to transform architecture-agnostic scientific code into high-performance code for heterogeneous computing platforms.

Technical Information

  • File Format: PDF
  • File Size: 230 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 183
  • Last Updated: 1 month ago

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This PDF document about Towards a Rule-Based Approach to Generate High-Performance Scientific Code provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Towards a Rule-Based Approach to Generate High-Performance Scientific Code.

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