Limitation on power budget in many-core systems leaves a fraction of on-chip resources
inactive, referred to as dark silicon. In such systems, an efficient run-time application …

Increasing power densities of many-core systems leaves a fraction of on-chip resources
inactive, referred to as dark silicon. Efficient management of critical interlinked parameters …

In this paper, we propose a run-time mapping algorithm, CASqA, for networked many-core
systems. In this algorithm, the level of contiguousness of the allocated processors (α) can be …

In high performance computing (HPC), applications usually have many parallel tasks
running on multiple machine nodes. As these tasks intensively communicate with each …

Performance and energy are critical aspects in high performance computing (HPC) data
centers. Highly parallel HPC applications that require multiple nodes usually run for long …

A many-core processor may comprise a large number of processing cores on a single chip.
The many-core's last-level shared cache can potentially be physically distributed alongside …

In step with the web being used widely by mobile users, user location is becoming an
essential signal in services, including local intent search. Given a large set of spatial web …

Balancing fairness, user performance, and system performance is a critical concern when
developing and installing parallel schedulers. Sandia uses a customized scheduler to …

Job placement plays a pivotal role in application performance on supercomputers. We
present a multi-faceted exploration to influence placement in extreme-scale systems, to …

Energy consumption is an increasingly important concern in data centers. Today, nearly half
of the energy in data centers is consumed by the cooling infrastructure. Existing policies on …