Emerging from the symbiotic combination of nanotechnology and communications, the field
of nanonetworking has come a long way since its inception more than fifteen years ago …

Convolutional Neural Networks (CNNs) have shown a great deal of success in diverse
application domains including computer vision, speech recognition, and natural language …

Data access patterns that involve fine-grained sharing, multicasts, or reductions have proved
to be hard to scale in shared-memory platforms. Recently, wireless on-chip communication …

Manycore GPU architectures have become the mainstay for accelerating graph
computations. One of the primary bottlenecks to performance of graph computations on …

Traditional network-on-chip (NoC) interconnects follow conventional packet switching
architectures that require multiple cycles to traverse each router hop. In addition, commonly …

Understanding the role of competition and cooperation among multiple interacting species
of microorganisms that constitute the microbiome and decipher how they enforce …

Many big data analytics applications explore a set of related entities, which are naturally
modeled as graph. However, graph processing is notorious for its performance challenges …