IEEE Micro

IEEE Micro, July/August 2010 Masthead

Often, the simplest economic questions are the hardest to answer. Consider these: How much economic value did the massive decline in the cost of digitization in the last two decades create? And, would a similar level of decline in the next decade create ...

Although the field of datacenter computing is arguably still in its relative infancy, a sizable body of work from both academia and industry is already available and some consistent technological trends have begun to emerge. This special issue presents ...

The rapid growth of online services in the last decade has led to the development of large data centers to host these workloads. These large-scale online, user-facing services have unique engineering and capacity provisioning design requirements. The ...

In this point-counterpoint discussion, Trevor Mudge argues for the combination of near-threshold voltage processors with techniques such as boosting to address the needs of datacenter workloads. Urs Hölzle offers a cautionary note on the wisdom of ...

The authors argue that the minimum cost of computing can be provided by consolidating real-time workloads onto relatively large servers, which can operate at high utilization while maintaining required response time, and then filling the remaining ...

Scale-out architectures supporting flexible, incremental scalability are common for computing and storage. However, the network remains the last bastion of the traditional scale-up approach, making it the data center's weak link. Through the UCSD Triton ...

Through the Datacenter Bridging task group, IEEE will add four supplements to the 802.1 standard that will both close the performance gap between Ethernet and InfiniBand and make the converged network a reality. In a converged network, all applications ...

Deployment of flash memory depends on making the most of its unique properties instead of treating it as a drop-in replacement for existing technologies.

Cloud computing drives the design and development of diverse programming models for massive data processing. The Transformer programming framework aims to facilitate the building of diverse data-parallel programming models. Transformer has two layers: a ...

Google-Wide Profiling (GWP), a continuous profiling infrastructure for data centers, provides performance insights for cloud applications. With negligible overhead, GWP provides stable, accurate profiles and a datacenter-scale tool for traditional ...

Editors' Note: Recent research has shown the potential benefits of subthreshold or near-threshold operation, which gives up a substantial degree of speed in order to reduce energy per operation. This is an excellent trade-off for many tasks, such as ...

This issue's Micro Review takes a look at books on math and philosophy, communicating, grammar, usage, and editing