Spiking Neuromorphic systems have been introduced as promising platforms for energy-
efficient spiking neural network (SNNs) execution. SNNs incorporate neuronal and synaptic …

Heterogeneous architectures are vastly used in various high performance computing
systems from IoT‐based embedded architectures to edge and cloud systems. Although …

Scientists and engineers in diverse domains need to perform expensive experiments to
optimize combinatorial spaces, where each candidate input is a discrete structure (eg …

This article presents the novel Octagonal-Cross-By-Pass-Mesh (Octa-CBP-Mesh) network
topology design for on-chip communication. We have recently presented the cross-by-pass …

Three-dimensional (3D) integration has frequently been described as a means to overcome
scaling bottlenecks, and advance both “More Moore” and “More Than Moore” through the …

Monolithic 3-D (M3D) integrated circuits (ICs) introduce a new aspect to the physical design
problem by stacking dies vertically. We introduce a novel heterogeneous design for M3D …

High-performance heterogeneous computing systems are suitable for big-data applications.
However, the use of off-chip interconnects (eg, PCIe in discrete CPU and GPU based …

Recent advances in GPU-based manycore accelerators provide the opportunity to efficiently
process large-scale graphs on chip. However, real world graphs have a diverse range of …

The increasing speed of the CPU is greater than that of the RAM. The 'Memory Wall'issue,
which occurs when the processor runs out of data, could occur. The I/O infrastructure is …

Heterogeneous manycore architectures are the key to efficiently execute compute-and data-
intensive applications. This is evident as latest commercial products increasingly rely on …