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Papers matching “compiler optimization” 19

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Automatic Compiler-Based Data Structure Generation
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Kristian F. D. Rietveld, Harry A. G. Wijshoff

1

citations
Providing A Compiler Technology-Based Alternative For Big Data Application Infrastructures
2022 arXiv (Cornell University) preprint Computer Science Advanced Database Systems and Queries Open access

Kristian F. D. Rietveld, Harry A. G. Wijshoff

0

citations
Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
2026 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Elisa Chiarotto, Jingbo Li, P. Chris Broekema, Rob V. van Nieuwpoort

0

citations
Multi-Strided Access Patterns to Boost Hardware Prefetching
2024 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Kristian F. D. Rietveld, Rob V. van Nieuwpoort

0

citations
Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators
2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Rebecca Pelke, Joel Klein, José Cubero-Cascante, Nils Bosbach, Jan Moritz Joseph, Rainer Leupers

0

citations
Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators
2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Rebecca Pelke, Joel Klein, José Cubero-Cascante, Nils Bosbach, Jan Moritz Joseph, Rainer Leupers

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti

0

citations
Differentiable Scripting
2021 arXiv (Cornell University) preprint Computer Science Computational Physics and Python Applications Open access

Uwe Naumann

0

citations
Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs
2020 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover

2

citations
Compilation of product-formula Hamiltonian simulation via reinforcement learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Lea M. Trenkwalder, Eleanor Scerri, Thomas E. O’Brien, Vedran Dunjko

1

citations
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Niklas Degener, Florian Idrizi, Lennart M. Reimann, +2 more

0

citations
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
2023 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Reza Azad, Moein Heidary, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink, +1 more

23

citations
Methods for Quantifying Expansion in Lithium-Ion Battery Cells Resulting from Cycling: A Review
2024 Preprints.org preprint Engineering Advanced Battery Technologies Research Open access

Tessa Krause, Daniel Nusko, Luciana Pitta Bauermann, Matthias Vetter, Carlo Holly

9

citations
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Ren Chen, Michael S. Lew

0

citations
A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory
2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski, John Paul Strachan, Luca Buonanno

0

citations
SNNAX -- Spiking Neural Networks in JAX
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Jamie Lohoff, Jan Finkbeiner, Emre Neftci

0

citations
A Knowledge Compilation Map for Quantum Information
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Lieuwe Vinkhuijzen, Tim Coopmans, Alfons Laarman

0

citations
Geometric Deep Learning Methods for Improved Generalizability in Medical Computer Vision: Hyperbolic Convolutional Neural Networks in Multi-Modality Neuroimaging
2024 medRxiv preprint Computer Science Advanced Neural Network Applications Open access

Cyrus Ayubcha, Sulaiman Sajed, Chady Omara, Anna B. Veldman, Shashi B. Singh, Yashas Ullas Lokesha, +4 more

0

citations

19 results