The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

Cloud computing offers attractive features for both service providers and customers. Users
benefit from the pay-as-you-go model by saving expenditures and service providers are …

The astonishing development of diverse and different hardware platforms is twofold: on one
side, the challenge for the exascale performance for big data processing and management; …

Graphics processing units (GPUs) are being adopted in many computing facilities given their
extraordinary computing power, which makes it possible to accelerate many general …

In modern virtual computing environment, the 2D/3D rendering performance and parallel
computing potential of GPU (graphics processing unit) must be fully exploited for multiple …

Graphics processing units (GPUs) are currently used in data centers to reduce the execution
time of compute‐intensive applications. However, the use of GPUs presents several side …

The cloud model allows the access to a vast amount of computational resources, alleviating
the need for acquisition and maintenance costs on a pay-per-use basis. However, other …

The current class of mainstream microprocessor architectures rely upon multi-level data
caches and relatively low degrees of concurrency to solve a wide range of applications and …

Cloud computing permits a significant improvement of the computational performance due to
its integration of resources. Virtualization technology has an important impact on how the …

En la actualidad, la demanda de procesamiento se incrementa cada día. La sociedad
genera una cantidad monstruosa de datos al día y la necesidad de poder procesar todos …