[EN] Graphics Processing Units (GPUs) are becoming popular accelerators in modern High-Performance Computing (HPC) clusters. Installing GPUs on each node of the cluster is not efficient resulting in high costs and power ...
[EN] Graphics processing units (GPUs) are being adopted in many computing facilities given their
extraordinary computing power, which makes it possible to accelerate many general purpose
applications from different domains. ...
Reaño González, Carlos; Silla Jiménez, Federico(IATED, 2015-07)
When teaching CUDA in laboratories, an important issue is the economic cost of GPUs, which may
prevent some universities from building large enough labs to teach CUDA. In this paper we propose
an efficient solution to ...
Reaño González, Carlos; Pérez López, Ferran; Silla Jiménez, Federico(IEEE, 2015-05-04)
CUDA is a technology developed by NVIDIA
which provides a parallel computing platform and programming
model for NVIDIA GPUs and compatible ones. It takes
benefit from the enormous parallel processing power of GPUs
in ...
Prades, Javier; Reaño González, Carlos; Silla Jiménez, Federico(Springer-Verlag, 2019-03)
[EN] Nowadays, many data centers use virtual machines (VMs) in order to achieve a more efficient use of hardware resources. The use of VMs provides a reduction in equipment and maintenance expenses as well as a lower ...
Reaño González, Carlos(Universitat Politècnica de València, 2017-09-01)
Graphics Processing Units (GPUs) are being adopted in many computing facilities given their extraordinary computing power, which makes it possible to accelerate many general purpose applications from different domains. ...
Reaño González, Carlos; Silla Jiménez, Federico(Elsevier, 2019-05)
[EN] Although CPUs are being widely adopted in order to noticeably reduce the execution time of many applications, their use presents several side effects such as an increased acquisition cost of the cluster nodes or an ...
Rodríguez Segrelles, Alejandro(Universitat Politècnica de València, 2017-10-18)
[EN] Energy consumption is a big concern in data centres. Modern systems try to achieve
the best throughput at the price of high energy consumption, high acquisition and maintenance
costs and taking a large amount of ...
[EN] The use of Graphics Processing Units (GPUs) has become a very popular way to accelerate the execution of many applications. However, GPUs are not exempt from side effects. For instance, GPUs are expensive devices which ...
Reaño González, Carlos; Silla Jiménez, Federico(IATED, 2015-03)
Graphics Processing Units (GPUs) have become widely used to accelerate scientific applications;
therefore, it is important that Computer Science and Computer Engineering curricula include the
fundamentals of parallel ...
Iserte Agut, Sergio; Castello Gimeno, Adrián; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador; Silla Jiménez, Federico; Duato Marín, José Francisco; Reaño González, Carlos; Prades Gasulla, Javier(IEEE, 2014-10-22)
SLURM is a resource manager that can be leveraged to share a collection of heterogeneous resources among the jobs in execution in a cluster. However, SLURM is not designed to handle resources such as graphics processing ...
Reaño González, Carlos; Silla Jiménez, Federico(Springer Verlag (Germany), 2016-12)
In the past few years, a tendency towards using InfiniBand networks to
interconnect high performance computing clusters can be observed. Thus, most of
the supercomputers appearing in the TOP500 list either use Ethernet ...