Maxeler Technologies (United Kingdom)

Recent papers from Maxeler Technologies (United Kingdom)

1. Development and Preliminary Validation of an Automatic and Intelligent System (Fiber Mult) for Cross-Sectional Evaluation of Animal FibersJournal of Natural Fibers · 2026
2. Roadmap on fast machine learning for scienceMachine Learning Science and Technology · 2026
3. Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications2024
4. High performance Boson sampling simulation via data-flow enginesNew Journal of Physics · 2024
5. GANDAFL: Dataflow Acceleration for Short Read Alignment on NGS DataIEEE Transactions on Computers · 2022
6. Efficient Table-Based Polynomial on FPGA2021
7. Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow PlatformsACM Transactions on Reconfigurable Technology and Systems · 2021
8. Sample size and performance estimation for biomarker combinations based on pilot studies with small sample sizesCommunication in Statistics- Theory and Methods · 2020
9. LhARA: The Laser-hybrid Accelerator for Radiobiological ApplicationsFrontiers in Physics · 2020
10. Towards Real Time Radiotherapy SimulationJournal of Signal Processing Systems · 2020
11. The Laser-hybrid Accelerator for Radiobiological Applications2020
12. Convolutional Neural Networks on Dataflow Engines2017
13. Quantum Chemistry in Dataflow: Density-Fitting MP2Journal of Chemical Theory and Computation · 2017
14. The Case for Polymorphic Registers in Dataflow ComputingInternational Journal of Parallel Programming · 2017
15. High performance in the cloud with FPGA groups2016
16. Interconnection Networks in Petascale Computer SystemsACM Computing Surveys · 2016
17. An AppGallery for dataflow computingJournal Of Big Data · 2016
18. Construction and Evaluation of an Ultra Low Latency Frameless Renderer for VRIEEE Transactions on Visualization and Computer Graphics · 2016
19. CLOUDLIGHTNING: A Framework for a Self-organising and Self-managing Heterogeneous Cloud2016
20. New Benchmarking Methodology and Programming Model for Big Data ProcessingInternational Journal of Distributed Sensor Networks · 2015