High performance computing platform is moving from homogeneous individual unites to heterogeneous systems where each unit is a combination of homogeneous cores and accelerator devices. Accelerators such as GPUs, FPGAs, DSPs, are usually designed for specific and intensive type of computing tasks. The presence of these devises have created fresh and attractive development platforms for developers and designers as well as novel performance analysis frameworks and optimization tools. This is the cutting edge in performance of some accelerator devices like: GPUs and Intel’s Xeon Phi. We outline some of the existing heterogeneous systems and their development frameworks. The core of this study is a review of performance modeling of these devices
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
The goal of reaching exascale computing is made especially challenging by the highly heterogeneous n...
In recent years, the limits of the multicore approach emerged in the so-called “dark silicon” issue ...
The high performance computing landscape is shifting from collections of homogeneous nodes towards h...
High performance computing platform is moving from homogeneous individual unites to heterogeneous sy...
Intel's Xeon Phi combines the parallel processing power of a many-core accelerator with the programm...
High energy colliders are essential to study the inner struc-ture of nuclear and elementary particle...
The performance of a platform is evaluated based on its ability to deal with the processing of multi...
In recent years the designs of High Performance Computing (HPC) clusters have become more complex. T...
Advanced accelerator simulations have played a prominent role in the design and analysis of modern a...
In recent years the designs of High Performance Computing (HPC) clusters have become more complex. T...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
Accelerators, such as GPUs and Intel Xeon Phis, have become the workhorses of high-performance compu...
A recent trend in modern high-performance computing environments is the introduction of powerful, en...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
The goal of reaching exascale computing is made especially challenging by the highly heterogeneous n...
In recent years, the limits of the multicore approach emerged in the so-called “dark silicon” issue ...
The high performance computing landscape is shifting from collections of homogeneous nodes towards h...
High performance computing platform is moving from homogeneous individual unites to heterogeneous sy...
Intel's Xeon Phi combines the parallel processing power of a many-core accelerator with the programm...
High energy colliders are essential to study the inner struc-ture of nuclear and elementary particle...
The performance of a platform is evaluated based on its ability to deal with the processing of multi...
In recent years the designs of High Performance Computing (HPC) clusters have become more complex. T...
Advanced accelerator simulations have played a prominent role in the design and analysis of modern a...
In recent years the designs of High Performance Computing (HPC) clusters have become more complex. T...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
Accelerators, such as GPUs and Intel Xeon Phis, have become the workhorses of high-performance compu...
A recent trend in modern high-performance computing environments is the introduction of powerful, en...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
The goal of reaching exascale computing is made especially challenging by the highly heterogeneous n...
In recent years, the limits of the multicore approach emerged in the so-called “dark silicon” issue ...