complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil

In this paper we propose and evaluate a parallelization strat-egy for the emerging HEVC video coding standard. The pro-posed strategy is based on entropy slices which allows ex-ploiting parallelism in the entropy decoding stage while main-taining high coding efficiency. Our approach requires to en-code

constraints to be straightforwardly described using a period and a slice within the period, and it allows for fast and simple admission control. This paper makes the case for periodic real-time scheduling for VM-based computing environments, and then describes and evaluates VSched. It also applies VSched

, with special emphasis on applications for which conventional parallelizing approaches fail. The management of inter-thread data dependences is crucial for the performance of the system. The Mitosis framework uses a pure software approach to predict/compute the thread’s input values. This software approach

Metallic implants, such as pedicle screws, are commonly used in orthopedic surgery to fixate fractures, replace arthritic joints, and to align and immobilize vertebra. In the United States alone, there were 325,000 spinal fusions performed in 2003 and 450,000 primary or revision total knee

In high-performance computing (HPC) settings, in which multiprocessor machines are shared among users with potentially competing resource demands, processors are allocated to user workload using space sharing. Typically, users interact with a given machine by submitting their jobs to a centralized

In high-performance computing (HPC) settings, in which multiprocessor machines are shared among users with potentially competing resource demands, processors are allocated to user workload using space sharing. Typically, users interact with a given machine by submitting their jobs to a centralized

Abstract. As a video coding standard, H.264 achieves high compress rate while keeping good fidelity. But it requires more intensive computation than before to get such high coding performance. A Hierarchical Multi-level Parallelisms (HMLP) framework for H.264 encoder is proposed which integrates

to evaluate the dataflow between processors for the video encoder running on an SMP system. An estimation of the dataflow is done with L2 cache miss event counters using Intel VTune performance analyzer. The experimental measurements are compared to theoretical results.

) model of computation and the YAPI programming C++ runtime library. To demonstrate the effectiveness of the obtained parallel model of the H.264 encoder, the encoding performances have been evaluated by system-level simulations targeting multiple multiprocessors platforms.