Andreea Anghel

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Simulators and empirical profiling data are often used to understand how suitable a specific hardware architecture is for an application. However, simulators can be slow, and empirical profiling-based methods can only provide insights about the existing hardware on which the applications are executed. While the insights obtained in this way are valuable,(More)
In this paper, we propose an analytic model that takes as inputs a) a parametric microarchitecture-independent characterization of the target workload, and b) a hardware configuration of the core and the memory hierarchy, and returns as output an estimation of processor-core performance. To validate our technique, we compare our performance estimates with(More)
Exascale computing systems will execute computationally intensive tasks on unprecedented amounts of data. Tuning the design of such systems for a specific application or for an application domain is a challenging task as it is not yet possible to analyze the actual run-time behavior of exascale applications. Run-time properties, such as the memory access(More)
—Reducing data communication over memory is one of the main current engineering challenges. To achieve this, optimization done solely at the application level is no longer sufficient. Holistic design-space exploration is necessary to evaluate the suitability of hardware architectures for a given application. Furthermore, a software-hardware co-design is(More)
The Square Kilometre Array (SKA) is a future radio telescope, currently being designed by the worldwide radio-astronomy community. During the first of two construction phases, more than 250,000 antennas will be deployed, clustered in aperture-array stations. The antennas will generate 2.5 Pb/s of data, which needs to be processed in real time. For the(More)
The Square Kilometre Array (SKA) will be the largest radio telescope in the world, generating data at Pb/s rates. Real-time processing will require 10<sup>18</sup> compute operations per second and system operating costs will be dominated by energy consumption. In this paper we explore design options for the aperture array of the first SKA construction(More)
The ionosphere is an important source of errors for the GPS signals that travel through the ionosphere on their way to the ground-based receivers by introducing a frequency dependent path delay proportional to the total electron content (TEC) along the signal path. For dual-frequency GPS receivers, the ionospheric effects can be accounted for by taking(More)
A detailed profile of exascale applications helps to understand the computation, communication and memory requirements for exascale systems and provides the insight necessary for fine-tuning the computing architecture. Obtaining such a profile is challenging as exascale systems will process unprecedented amounts of data. Profiling applications at the target(More)