The monolithic server model where a server is the unit of deployment, operation, and failure
is meeting its limits in the face of several recent hardware and application trends. To improve …

Deep Neural Networks (DNNs) have reinvigorated real-world applications that rely on
learning patterns of data and are permeating into different industries and markets. Cloud …

Industry is building larger, more complex, manycore processors on the back of strong
institutional knowledge, but academic projects face difficulties in replicating that scale. To …

In recent years ad hoc parallel data processing has emerged to be one of the killer
applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing …

Current Infrastructure as a Service (IaaS) clouds operate in isolation from each other. Slight
variations in the virtual machine (VM) abstractions or underlying hypervisor services prevent …

The basic idea behind cloud computing is that resource providers offer elastic resources to
end users. In this paper, we intend to answer one key question to the success of cloud …

Global cloud services have to respond to workloads that shift geographically as a function of
time-of-day or in response to special events. While many such services have support for …

Designing massive scale cache coherence systems has been an elusive goal. Whether it be
on large-scale GPUs, future thousand-core chips, or across million-core warehouse scale …

In the cloud age, heterogeneous application modes on large-scale infrastructures bring
about the challenges on resource utilization and manageability to data centers. Many …

We present Barrelfish/DC, an extension to the Barrelfish OS which decouples physical cores
from a native OS kernel, and furthermore the kernel itself from the rest of the OS and …