This paper describes the LINPACK Benchmark and some of its variations commonly used to
assess the performance of computer systems. Aside from the LINPACK Benchmark suite, the …

This chapter presents the current best design and implementation practices for the
acceleration of dense linear algebra (DLA) on GPUs. Examples are given with fundamental …

This paper presents the design and implementation of several fundamental dense linear
algebra (DLA) algorithms for multicore with Intel Xeon Phi coprocessors. In particular, we …

Many of the heterogeneous resources available to modern computers are designed for
different workloads. In order to efficiently use GPU resources, the workload must have a …

We present our performance analysis, algorithm designs, and the optimizations needed for
the development of high-performance GPU-only algorithms, and in particular, for the dense …

A wide variety of heterogeneous compute resources, ranging from multicore CPUs to GPUs
and coprocessors, are available to modern computers, making it challenging to design …

Modern high performance computing environments are composed of networks of compute
nodes that often contain a variety of heterogeneous compute resources, such as multicore …

Hardware heterogeneity of the HPC platforms is no longer considered unusual but instead
have become the most viable way forward towards Exascale. In fact, the multitude of the …

This paper describes the design, implementation and performance of parallel direct dense
symmetric-indefinite matrix factorisation algorithms. These algorithms use the Bunch …

Ь з д д ж з ж з и з вИ бда б ви Й и гв в д ж гжб в г д ж аа а ж и вз знбб иж Й в Ќв и згак ж
жгйи в К Ый згак ж з ж ей ж гж и а ж гбда м знзи бз ж з в жгб а ижгЙб в и Ќ а в анз зИ зй з …