In order to meet the increased computational demands and stricter power constraints of modern applications, architectures have evolved to include domain-specific dedicated accelerators. In order to design efficient accelerators, three main components need to be addressed: compute, memory, and control. Moreover, since SoCs usually contain multiple accelerators, selecting the right one for each task also become crucial. This becomes specially […]

science with practical applications ranging from pattern matching to computational biology. The ever-increasing volumes of genomic data produced by modern DNA sequencers motivate improved software and hardware sequence alignment accelerators that scale with longer sequence lengths and high error rates without losing accuracy. Furthermore, the wide variety of use cases requiring sequence alignment demands flexible and efficient solutions that can […]

Energy-efficient execution of task-based parallel applications is crucial as tasking is a widely supported feature in many parallelprogramming libraries and runtimes. Currently, state-of-the-art proposals primarily rely on leveraging core asymmetry and CPUDVFS. Additionally, these proposals mostly use heuristics and lack the ability to explore the trade-offs between energy usage andperformance. However, our findings demonstrate that focusing solely on CPU energy […]

In order to deliver high performance efficiently, modern processors include dedicated hardware to accelerate different application domains. For example, several recent processors include dedicated Machine Learning (ML) accelerators. However, while adding dedicated hardware improves efficiency compared to general-purpose CPUs, it also requires a larger area, making it unfeasible for smaller devices. Therefore, exploring ways to use the existing hardware for […]