Hardware acceleration of artificial X-ray image generation

Acceleration of hybrid CPU-GPU query execution engine in Arrow Format

Zero-serialization, Zero-copy memory pooling in compute clusters: Disaggregated memory made accessible

Adding fault tolerance to OpenCL: Through redundant heterogeneous computing

Neural network partitioning for resource-limited environments

Efficient mapping of large scale SNN and rate-based DNN on SENeCA

The Application of RDMA over Converged Ethernet Data Transport for Radio-Astronomy Systems

GPU Acceleration of BWA-MEM DNA Sequence Alignment

Deep learning based motion prediction algorithms for autonomous driving

Investigating scaling techniques and the cost-efficiency of distributed to single FPGA compositions for Full Waveform Inversion

QPack: A cross-platform quantum benchmark-suite: Quantitative performance metrics for application-oriented quantum computer benchmarking

Tydi-lang: a language for typed streaming hardware: A manual for future Tydi-lang compiler developers

Automated Medical History Taking in Primary Care: A Reinforcement Learning Approach

RoCE based 100GbE RDMA network stack on FPGA hardware

QPack: QAOA as scalable application-level quantum benchmark

Integration of a convolutional neural network for speech-to-text recognition in an FPGA compiler flow

Exploring the Limits of Query Pushdown for SQL Acceleration on FPGAs

Privacy-preserving Clustering of Single-cell RNA Sequencing Data on Intel SGX

FPGAs in Big Data: On the transparent and efficient acceleration of big data frameworks

Resource Optimal Executable Quantum Circuit Generation Using Approximate Computing