Recent technological advances have greatly improved the performance and features of
embedded systems. With the number of just mobile devices now reaching nearly equal to …

Given recent algorithm, software, and hardware innovation, computing has enabled a
plethora of new applications. As computing becomes increasingly ubiquitous, however, so …

Thermal-aware scheduling of parallel jobs is becoming an increasingly critical issue in
software design for computing platforms ranging from embedded systems to large servers …

User-facing, latency-sensitive services, such as websearch, underutilize their computing
resources during daily periods of low traffic. Reusing those resources for other tasks is rarely …

General-purpose GPUs (GPGPUs) are becoming prevalent in mainstream computing, and
performance per watt has emerged as a more crucial evaluation metric than peak …

The ability to cap peak power consumption is a desirable feature in modern data centers for
energy budgeting, cost management, and efficient power delivery. Dynamic voltage and …

On-chip DC-DC converters have the potential to offer fine-grain power management in
modern chip-multiprocessors. This paper presents a fully integrated 3-level DC-DC …

Skyline computation has many applications including multi-criteria decision making. In this
paper, we study the problem of selecting k skyline points so that the number of points, which …

Latency-critical workloads (eg, web search), common in datacenters, require stable tail (eg,
95 th percentile) latencies of a few milliseconds. Servers running these workloads are kept …

Recent work has introduced memory system dynamic voltage and frequency scaling
(DVFS), and has suggested that balanced scaling of both CPU and the memory system is …