Building an Event-Driven Timing Simulator for Embedded Hybrid GPU-AI Accelerator

The current trend towards the integration of artificial intelligence (AI) and graphics processing unit (GPU) technologies has resulted in the development of embedded hybrid GPU-AI accelerators, which offer high computational power and energy efficiency. One of the key challenges in designing such accelerators is ensuring their timing correctness...

Towards Automated and Fast Whisker Tracking in Rodents

Whisker tracking in rodents is an ongoing research in neuroscience. Neuroscientists have recorded experiments with high-speed cameras in which untrimmed, head-restrained mice are provided with air stimuli. These videos required the development of algorithms to reliably track whisker movement. Recently, a Whisker Tracking System, WhiskEras,...

GPU Acceleration of DNA Alignment Algorithms of Long Reads for DNA Assembly

Third generation sequencing machines produce reads with tens of thousands of base pairs.<br/>To perform de novo assembly, all reads must be compared with every other read to find overlaps.<br/>Finding overlaps with the optimal Smith-Waterman is not feasible, since the complexity of Smith-Waterman is quadratic with the length of the reads.<br/...

Accelerating Graph Analysis with Heterogeneous Systems

Data analysis is a rising field of interest for computer science research due to the growing amount of information that is digitally available. This increase in data has as direct consequence that any analysis is significantly complex. By using structured representations for the data sets, like graphs, the analysis becomes feasible, but is still...