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Papers matching “accelerator optimization” 101

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Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke

1

citations
NEWROMAP
2021 IEEE/ACM International Symposium on Networks-on-Chip (NOCS) conference-paper Computer Science Parallel Computing and Optimization Techniques

Jan Moritz Joseph, Murat Sezgin Baloglu, Yue Pan, Rainer Leupers, Lennart Bamberg

5

citations
The travelling salesperson problem and the challenges of near-term quantum advantage
2025 Quantum Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Kate Smith‐Miles, Holger H. Hoos, Hao Wang, Thomas Bäck, Tobias J. Osborne

6

citations
Parallel Pattern Compiler for Automatic Global Optimizations
2024 Parallel Computing article Computer Science Parallel Computing and Optimization Techniques Open access

Adrian Schmitz, Semih Burak, Julian Miller, Matthias Müller

4

citations
Efficiency and scalability exploration of an application-specific instruction-set processor for deep convolutional neural networks
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Neural Network Applications Open access

Andreas Bytyn

0

citations
Fireiron
2020 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

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

28

citations
Multi-objective dual simplex-mesh based deformable image registration for 3D medical images - proof of concept
2022 SPIE Medical Imaging: Image Processing conference-paper Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten

4

citations
Parallel Pattern Language Code Generation
2024 International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM) conference-paper Computer Science Parallel Computing and Optimization Techniques

Adrian Schmitz, Julian Miller, Semih Burak

1

citations
High-Performance Image Filters via Sparse Approximations
2020 Proceedings of the ACM on Computer Graphics and Interactive Techniques article Computer Science Computer Graphics and Visualization Techniques

Kersten Schuster, Philip Trettner, Leif P. Kobbelt

7

citations
Turbocharger Control for Emission Reduction Based on Deep Reinforcement Learning
2023 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Mario Picerno, Lucas Koch, Kevin Badalian, Sung-Yong Lee, Jakob Andert

6

citations
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology
2021 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access cited by 1 patent

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

118

citations
Quantum-Machine-Assisted Drug Discovery: Survey and Perspective
2024 Preprints.org preprint Computer Science Computational Drug Discovery Methods Open access

Yidong Zhou, Gopal Karemore, Weikang Li, Zhiding Liang, Marinka Žitnik, Frederic T. Chong, +2 more

7

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
PPP-COMPUTE: A Pandemic Pharmacology Platform for COMPUTational Evaluation of Anti-infectives in Pandemic Preparedness
2026 medRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Qinhao Wu, Chenyu Wang, Wisse van Os, Xuanlin Liu, Jiahang Su, Anne‐Grete Märtson, +3 more

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2021 IEEE Access article Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

32

citations
OpenMP Target Device Offloading for the SX-Aurora TSUBASA Vector Engine
2020 Lecture notes in computer science conference-paper Computer Science Parallel Computing and Optimization Techniques

Tim Cramer, Manoel Römmer, Boris Kosmynin, Erich Focht, Matthias Müller

10

citations
Kernel Float: Unlocking Mixed-Precision GPU Programming
2025 ACM Transactions on Mathematical Software article Computer Science Numerical Methods and Algorithms Open access

Stijn Heldens, Ben van Werkhoven

3

citations
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten

3

citations
Extending the SPMD IR for RMA Models and Static Data Race Detection
2025 Lecture notes in computer science conference-paper Computer Science Parallel Computing and Optimization Techniques

Semih Burak, Simon Schwitanski, Felix Tomski, Jens Domke, Matthias Mueller

3

citations
LSTM-based Inverse Dynamics Learning for Franka Emika Robot
2024 International Conference on Control, Automation and Diagnosis (ICCAD) conference-paper Computer Science Reinforcement Learning in Robotics

Jan-Niklas Schneider, Leon Gorißen, Thomas Käster, Philipp Walderich, Christian Hinke

1

citations
MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten

0

citations
QligFEP-2: an automated workflow for small molecule free energy calculations in Q
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
Doing More with Less: Accurate and Scalable Ligand Free Energy Calculations by Focusing on the Binding Site
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations