Event-based cameras are neuromorphic sensors capable of efficiently encoding visual
information in the form of sparse sequences of events. Being biologically inspired, they are …

The power consumption is a key metric to design computing platforms. In particular, the
variety and complexity of current applications fueled an increasing number of run-time …

Dataflow architecture has shown its advantages in many high-performance computing
cases. In dataflow computing, a large amount of data are frequently transferred among …

Abstract Wireless Network-on-Chips (WiNoCs) were expected to handle the communication
requirements of the long-distance processing elements. Hence, high-performance WiNoC …

Mixed precision is an approximate computing technique that can be used to trade-off
computation accuracy for performance and/or energy. It can be applied to many error …

The Internet-of-Things (IoT) revolution has shaped a new application domain where low-
power RISC architectures constitute the standard computational backbone. The current de …

Online power monitoring represents a de-facto solution to enable energyand power-aware
run-time optimizations for current and future computing architectures. Traditionally, the …

As the number of cores in a multicore system increases, the communication pressure on the
interconnection network also increases. The network-on-chip (NoC) architecture is expected …

Abstract High-Performance Computing (HPC) is rapidly moving towards the adoption of
nodes characterized by an heterogeneous set of processing resources. This has already …

To correct spectral peak drift and obtain more reliable net counts, this study proposes a long
short-term memory (LSTM) model fused with a convolutional neural network (CNN) to …