We review different aspects of the simulation of spiking neural networks. We start by
reviewing the different types of simulation strategies and algorithms that are currently …

Many proposals to scale quantum technology rely on modular or distributed designs
wherein individual quantum processors, called nodes, are linked together to form one large …

High-performance computing systems are of steadily growing interest to provide new levels
of computational capability for an increasing range of applications. The growing use of and …

This paper presents a new cluster architecture for low-power data-intensive computing.
FAWN couples low-power embedded CPUs to small amounts of local flash storage, and …

Main memory is one of the leading hardware causes for machine crashes in today's
datacenters. Designing, evaluating and modeling systems that are resilient against memory …

In the quest for cognitive computing, we have built a massively parallel cortical simulator,
C2, that incorporates a number of innovations in computation, memory, and communication …

Blue Gene/Q aims to build a massively parallel high-performance computing system out of
power-efficient processor chips, resulting in power-efficient, cost-efficient, and floor-space …

With the advent of Cloud computing, large-scale virtualized compute and data centers are
becoming common in the computing industry. These distributed systems leverage …

This is the first paper describing the IBM Blue Gene/Q interconnection network and message
unit. The Blue Gene/Q system is the third generation in the IBM Blue Gene line of massively …

Many-task computing aims to bridge the gap between two computing paradigms, high
throughput computing and high performance computing. Many task computing differs from …