A comprehensive overview of OpenMP, the standard application programming interface for
shared memory parallel computing—a reference for students and professionals." I hope that …

Power and energy are first-order design constraints in high performance computing. Current
research using dynamic voltage scaling (DVS) relies on trading increased execution time for …

Most recent research in power-aware supercomputing has focused on making individual
nodes more efficient and measuring the results in terms of flops per watt. While this work is …

Although transistor density continues to increase, voltage scaling has stalled and thus power
density is increasing each technology generation. Particularly in mobile devices, which have …

Previous proposals for power-aware thread-level parallelism on chip multiprocessors
(CMPs) mostly focus on multiprogrammed workloads. Nonetheless, parallel computation of …

With the shift towards chip multiprocessors (CMPs), exploiting and managing parallelism
has become a central problem in computing systems. Many issues of parallelism …

In recent years, GPU-CPU heterogeneous architectures have been increasingly adopted in
high performance computing, because of their capabilities of providing high computational …

Optimizing the performance of a multi-core microprocessor within a power budget has
recently received a lot of attention. However, most existing solutions are centralized and …

It has been shown that many requests miss in all remote nodes in shared memory
multiprocessors. We are motivated by the observation that this behavior extends to much …

OpenMP enables the creation of shared-memory parallel programs. In this chapter, we
describe the evolution of computers that has led to the specification of OpenMP and that has …