End-to-end codesign in AI-enabled computational science (ENCODE)
Open Access
- 19 May 2026
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 187-190
Abstract
No abstract availableFunding Information
- U.S. Department of Energy (LAB 24-3210: ENCODE)
This publication has 4 references indexed in Scilit:
- Anonymized Network Sensing using C++26 std::execution on GPUs2025
- ML4SODA: A Decision Tree Guided Design Space Exploration for Fast and High Quality MLIR-based HLS2025
- The U.S. Microelectronics Research Programs and Where They Lower Barriers to Co-Design. Invited Paper2025
- UltraFormer: An Efficient Transformer for FPGAs2025