Abstract NAS Parallel Benchmarks (NPB) is a standard benchmark suite used in the
evaluation of parallel hardware and software. Several research efforts from academia have …

NAS Parallel Benchmarks (NPB) are one of the standard benchmark suites used to evaluate
parallel hardware and software. There are many research efforts trying to provide different …

Using compiler directives to program accelerator-based systems through APIs such as
OpenACC or OpenMP has increasingly gained popularity due to the portability and …

Computing on heterogeneous architecture involving CPUs and accelerators is now a
popular choice of parallel computing. As a directive-based programming model, OpenMP …

Although Graphics Processing Units (GPUs) have become pervasive for data-parallel
workloads, the efficient exploitation of their tiered memory hierarchy requires explicit …

Accelerators have been deployed on most major HPC systems. They are considered to
improve the performance of many applications. Accelerators such as GPUs have an …

As majority of the compression algorithms are implementations for CPU architecture, the
primary focus of our work is to exploit the opportunities of GPU parallelism in audio …

Matrix computations are widely used in increasing sizes and complexity in scientific
computing and engineering. But current matrix language implementations lack programmer …

Programming models that use a higher level of abstraction to express parallelism can target
both CPUs and any attached devices, alleviating the maintainability and portability concerns …

General-purpose computing on GPUs is widely adopted for scientific applications, providing
inexpensive platforms for massively parallel computation. This has motivated us to …