Single instruction multiple data (SIMD) extensions are one of the most significant capabilities
of recent General Purpose Processors (GPPs) which improves the performance of …

Embedded systems are built for specific purposes and are optimized to meet different kind of
constraints, such as performance, timing, power and cost. The design process therefore …

Single instruction multiple data (SIMD) vector extension has become an essential feature of
high-performance processors. Architectures such as x86, ARM, MIPS, and PowerPC have …

The arrival of manycore systems enforces new approaches for developing applications in
order to exploit the available hardware resources. Developing applications for manycores …

We investigate the effectiveness of executing SIMD workloads on multiprocessors with
heterogeneous Instruction Set Architecture (ISA) cores. Heterogeneous ISAs offer an …

Probabilistic models play an important role in many fields such as distributed systems and
simulations. Like non-probabilistic systems, they can be synthesized using classical …

Modern embedded applications are increasingly demanding in computational workload,
while they have to run on platforms with a limited energy source. A wide single instruction …

The purpose of this thesis is to investigate the effectiveness of executing High Performance
Computing (HPC) workloads on multiprocessors with heterogeneous Instruction Set …