Predicting the residual energy of the battery source that powers a portable electronic device
is imperative in designing and applying an effective dynamic power management policy for …

We present a survey of the state-of-the-art techniques used in performing data and memory-
related optimizations in embedded systems. The optimizations are targeted directly or …

Global address space languages like UPC exhibit high performance and portability on a
broad class of shared and distributed memory parallel architectures. The most scalable …

We present compiler techniques for translating OpenMP shared-memory parallel
applications into MPI message-passing programs for execution on distributed memory …

Processor-in-Memory (PIM) architectures avoid the von Neumann bottleneck in conventional
machines by integrating high-density DRAM and CMOS logic on the same chip. Parallel …

Parallelizing compilers have traditionally focussed mainly on parallelizing loops. This paper
presents a new framework for automatically parallelizing recursive procedures that typically …

Compiled communication has recently been proposed to improve communication
performance for clusters of workstations. The idea of compiled communication is to apply …

Reducing communication cost is crucial to achieving good performance on scalable parallel
machines. This paper presents a new compiler algorithm for global analysis and …

X10 is a new object-oriented PGAS (Partitioned Global Address Space) programming
language with support for distributed asynchronous dynamic parallelism that goes beyond …

Platform-independent source code transformations can greatly help alleviate the data-
transfer and storage bottleneck. This article covers global data-flow, loop, and data-reuse …