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Skylake's core, processor graphics, and system on chip were designed to meet a demanding set of requirements for a wide range of power-performance points. Its coherent fabric was designed to provide high-memory bandwidth from multiple memory sources. Skylake's power management, which includes Intel Speed Shift technology, was designed to provide the largest dynamic power range among prior Intel processors...
Implementing database operations on parallel platforms has gain a lot of momentum in the past decade. A number of studies have shown the potential of using GPUs to speed up database operations. In this paper, we present empirical evaluations of a state-of-the-art work published in SIGMOD'08 on GPU-based join processing. In particular, this work presents four major join algorithms and a number of join-related...
Graphics processing units (GPUs) have delivered promising speedups in data-parallel applications. A discrete GPU resides on the PCIe interface and has traditionally required data to be moved from the host memory to the GPU memory via PCIe. In certain applications, the overhead of these data transfers between memory spaces can nullify any performance gains achieved from faster computation on the GPU...
String matching is an important part in today's computer applications and Aho-Corasick algorithm is one of the main string matching algorithms used to accomplish this. This paper discusses that when can the GPUs be used for string matching applications using the Aho-Corasick algorithm as a benchmark We have to identify the best unit to run our string matching algorithm according to the performance...
In a perfect world, code would only be written once and would run on different devices with high efficiency. A programmer's time would primarily be spent on thinking about the algorithms and data structures, not on implementing them. To a degree, that used to be the case in the era of frequency scaling on a single core. However, due to power limitations, parallel programming has become necessary to...
We present the development of one of the first libraries based on the so-called expression templates technique to simplify the implementation of CPU and parallel GPUcodes. Expression templates allow to express matrix algebra operations to be executed either on the CPU or on the GPU with a syntax very close to the natural mathematical one. The developed library has been deeply optimized so that the...
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