The memory coherence problem in designing and implementing a shared virtual memory on
loosely coupled multiprocessors is studied in depth. Two classes of algorithms, centralized …

Recent advances in computing have led to an explosion in the amount of data being
generated. Processing the ever-growing data in a timely manner has made throughput …

Recent high-level synthesis and accelerator-related architecture papers show a great
disparity in workload selection. To improve standardization within the accelerator research …

This work is an overview of our preliminary experience in develo** a high-performance
iterative linear solver accelerated by GPU coprocessors. Our goal is to illustrate the …

Graphics processors are increasingly used in scientific applications due to their high
computational power, which comes from hardware with multiple-level parallelism and …

Multi-sensory feedback can potentially improve user experience and performance in virtual
environments. As it is complicated to study the effect of multi-sensory feedback as a single …

The MPS (Moving Particle Semi-implicit) method has been proven useful in computation free-
surface hydrodynamic flows. Despite its applicability, one of its drawbacks in practical …

Markov clustering (MCL) is becoming a key algorithm within bioinformatics for determining
clusters in networks. However, with increasing vast amount of data on biological networks …

This paper proposes a new sparse matrix storage format which allows an efficient
implementation of a sparse matrix vector product on a Fermi Graphics Processing Unit …

A wide range of applications in engineering and scientific computing are involved in the
acceleration of the sparse matrix vector product (SpMV). Graphics Processing Units (GPUs) …