Modern demand for energy-efficient computation has spurred research at all levels of the
stack, from devices to microarchitecture, operating systems, compilers, and languages …

Data-intensive, high-performance computing applications often require the efficient transfer
of terabytes or even petabytes of data in wide-area, distributed computing environments. To …

This paper presents a framework for the purpose of energy optimization of embedded real-
time systems. We implemented the presented framework as an optimization toolchain and …

Code repositioning is a well-known method of reducing inefficient off-chip memory accesses
by streamlining cache behavior. Embedded systems with predetermined applications can …

Software Programmable Memories, or SPMs, are raw on‐chip memories that are not
implicitly managed by the processor hardware, but explicitly by software. For example, while …

Deeply embedded systems often have the tightest constraints on energy consumption,
requiring that they consume tiny amounts of current and run on batteries for years. However …

Most of the microprocessor spends majority of its time waiting for the data to be transferred
from slow memory devices connected to it, resulting in Memory wall problem. The main aim …

Most modern processors have some much faster cache memories than a main memory, and
therefore, it is important to effectively utilize it for the efficient execution. The cache memories …

Most modern processors have some cache memories that are much faster than main
memory. These cache memories function well if temporal or spatial localities in programs …

Energy minimization has become one of the primary goals in the embedded real-time
domains. Consequently, scratch-pad memory has been employed as partial or entire …